{"title":"Psychological methodology Books","description":"","products":[{"product_id":"the-oxford-handbook-of-qualitative-research-9780190847388","title":"The Oxford Handbook of Qualitative Research","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eThis handbook is a comprehensive methodological resource intended for a wide readership and incorporates several enhancements to the first edition ..., including new chapters on \"duoenthnography,\" team-based research, and teaching qualitative research, as well as updated references and examples. ... Anyone seeking practical information about conducting qualitative research would benefit from this work. The enhancements justify investing in this new edition. * R. V. Labaree, CHOICE *\u003cbr\u003eEditor Patricia Leavy has assembled an insightful collection that examines the challenges and opportunities inherent to qualitative research. Inclusive and dynamic, the handbook's chapters will be of interest, and helpful, to a wide array of new and senior researchers. * Keith Berry, Associate Professor, Department of Communication, University of South Florida *\u003cbr\u003ePatricia Leavy has done it again! The Second Edition of The Oxford Handbook of Qualitative Research is a rich resource for a field trying to keep abreast of a multitude of nuanced changes within qualitative research. The Handbook provides substantive and historical overviews of qualitative traditions, and it also opens the way for introducing more emergent and contemporary approaches. Yet it doesn't stop there — the volume covers ongoing issues such as evaluation, ethics, and public engagement for all qualitative researchers. Accessible for students, scholars, and practitioners alike, this Handbook is a must-have resource for anyone embarking upon or continuing their work in qualitative research! * Rita L. Irwin, Professor, Art Education and Curriculum Studies, The University of British Columbia *\u003cbr\u003eThis new edition of The Oxford Handbook of Qualitative Research, masterfully edited by Patricia Leavy and authored by an impressive team of international and multi-disciplinary scholars, is a veritable feast, articulating with freshness and vitality issues that are crucial for qualitative researchers across the social sciences. Enthusiastically recommended! * Liora Bresler, Professor Emerita, College of Education, University of Illinois *\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface 1. Introduction by the Editor: Patricia Leavy Part One: The Qualitative Tradition 2. Historical Overview of Qualitative Research in the Social Sciences: Svend Brinkmann, Michael Hviid Jacobsen, and Søren Kristiansen 3. The History of Historical-Comparative Methods in Sociology: Chares Demetriou and Victor Roudometof 4. The Centrality of Ethics in Qualitative Research: Anna Traianou Part Two: Approaches to Qualitative Research 5. Philosophical Approaches to Qualitative Research: Renée Spencer, Julia M. Pryce, and Jill Walsh 6. Applied Interpretive Approaches: Sally E.Thorne 7. The Grounded Theory Method: Antony Bryant 8. Feminist Qualitative Research: Toward Transformation of Science and Social Justice: Maureen C. McHugh 9. Critical Approaches to Qualitative Research: Kum-Kum Bhavnani, Peter Chua, and Dana Collins 10. Decolonizing Research Practice: Indigenous Methodologies, Aboriginal Methods, and Knowledge\/Knowing: Mike Evans, Adrian Miller, Peter Hutchinson, and Carlene Dingwall Part Three: Narrative Inquiry, Field Research, and Interview Methods 11. Practicing Narrative Inquiry II: Making Meanings Move: Arthur P. Bochnerand Andrew F. Herrmann 12. Ethnography: Anthony Kwame Harrison 13. Practicing Autoethnograhy and Living the Autoethnographic Life: Carolyn Ellis and Tony E. Adams 14. Duoethnography: A Polytheoretical Approach to (Re)Storing, (Re)Storying the Meanings that One Give: Joe Norris and Rick Sawyer 15. Unstructured and Semi-Structured Interviewing: Svend Brinkmann 16. Oral History Interviewing: With Purpose and Critical Awareness: Valerie J. Janesick 17. Focus Group Research: Retrospect and Prospect: George Kamberelis and Greg Dimitriadis 18. Museum Studies: Erica L. Tucker Part Four: Text, Arts-Based, and Internet Methods 19. Content Analysis: Lindsay Prior 20. Photography as a Research Method: Gunilla Holm 21. Arts-Based Research Practice: Merging Social Research and the Creative Arts: Gioia Chilton and Patricia Leavy 22. Qualitative Approaches in Internet-Mediated Research: Opportunities, Issues, Possibilities: Claire Hewson Part Five: Multi-Method, Mixed Methods, and Participatory Designs 23. Case Study Research: In-Depth Understanding in Context: Helen Simons 24. Program Evaluation: Paul R.Brandon and Anna L. Ah Sam 25. Community-Based Research: A Grass-Roots and Social Justice Orientation to Inquiry: Margaret Boyd 26. Complex Teams and Qualitative Research: Judith Davidson 27. Qualitative Disaster Research: DeeDee M. Bennett, Mark R. Landahl, Brenda D.Phillips 28. Conducting Mixed Methods Research: Using Dialectical Pluralism and Social Psychological Strategies: Susan A. Tucker, R. Burke Johnson, Tony Onwuegbuzie, and Marjorie L. Icenogle Part Six: Analysis and Interpretation 29. Qualitative Data Analysis Strategies: Johnny Saldaña 30. Computer-Assisted Analysis of Qualitative Research: Christina Silver and Ann F. Lewins 31. Interpretation Strategies in Qualitative Research: What, Why, How: Allen Trent and Jeasik Cho Part Seven: Representation and Evaluation 32. Writing Up Qualitative Research: Jane F.Gilgun 33. Transforming Field Notes into Text: Jessica Smartt Gullion 34. Creative Approaches to Writing: Sandra L. Faulkner and Sheila Squillante 35. Scripting Ethnodrama: Joe Salvatore 36. Write-Reach-Repeat: The Role and Rise of Public Intellectualism in Qualitative Research: Robin M. Boylorn 37. Evaluating Qualitative Research 2.0: Jeasik Cho and Allen Trent Part Eight: Conclusion: Politics, Pedagogy, and the Public 38. The Politics of Research: Michael D. Giardina and Joshua I. Newman 39. Superheroes and Superpowers: Contemplative, Creative, and De\/Colonial Approaches to Teaching Qualitative Research: Kakali Bhattacharya 40. A Changing Terrain: Qualitative Research in the Age of Transdisciplinarity and Public Scholarship: Patricia Leavy","brand":"Oxford University Press Inc","offers":[{"title":"Default Title","offer_id":48732543680855,"sku":"9780190847388","price":216.45,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780190847388.jpg?v=1719997359"},{"product_id":"participatory-action-research-9780197644966","title":"Participatory Action Research","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eParticipatory Action Research (PAR) privileges the involvement of participants as co-researchers to generate new knowledge and act on findings to effect social change. In PAR projects, academic researchers collaborate closely with co-researchers, working from the idea that these individuals, especially those who are usually marginalized from institutions, can be engaged in meaningful research activities to achieve social justice outcomes in addition to answering research questions. When deployed ethically in collaboration with co-researchers, PAR''s participatory element facilitates a ''bottom-up'' approach where knowledge is co-created through grassroots or community-based activities. This book goes beyond a PAR ''how to'' manual on the methodology. Rather it synthesizes key learnings in contemporary research, with a distinct focus on the challenging aspects of undertaking PAR in practice and strategies to address these. It provides a clear and user-friendly collection of practical \u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eEvery now and then, a book comes along which is full of such sheer practical wisdom, determination and meticulous scholarship that it takes your breath away and has you shouting sentences aloud in affirmation. * Professor Alison Phipps, UNESCO Chair for Refugee Integration through Languages and the Arts, University of Glasgow *\u003cbr\u003eAn unflinching exploration of the joys and messy challenges of engaging in participatory action research that will compel novice and more seasoned researchers alike to critically assess both their practices and their promises. * Associate Professor Susan Cox, University of British Columbia. *\u003cbr\u003eThis accessible book engages with often opaque elements of participatory research. Through highly accessible writing and reflective vignettes, it encourages us to reflect on how to decolonize and sensitize collective research practice. It should be on all research methods course lists! * Professor Sara Kindon, Te Herenga Waka, Victoria University of Wellington *\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface Acknowledgments Chapter 1: What is Participatory Action Research? Contemporary Methodological Considerations Chapter 2: Why decolonize? Participatory Action Research's Origins, Decolonial Research, and Intersectionality Chapter 3: What does participation entail? Challenges to Genuine Participation in Participatory Action Research Chapter 4: How do we engage in co-research? Co-Production and Mess Chapter 5: Participatory Action Research is Ethical, Right? Ethics in Practice and Institutional Ethics Chapter 6: What of Gender Equality? Feminist Participatory Action Research and Gender Diversity Chapter 7: How do we influence policy? Challenges to Knowledge Translation References Index","brand":"Oxford University Press Inc","offers":[{"title":"Default Title","offer_id":48732666560855,"sku":"9780197644966","price":28.02,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780197644966.jpg?v=1719997864"},{"product_id":"understanding-quantitative-and-qualitative-research-in-psychology-9780198823049","title":"Understanding Quantitative and Qualitative","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eUnderstanding Quantitative and Qualitative Research in Psychology is the most hands-on, accessible and approachable guide to the entire research process, which fully explores both quantitative and qualitative methods to give students the knowledge and confidence they need. Students are presented with a practically-focused guide to carrying out psychological research and are taken from formulating a research question through to collecting data, analysing datasets statistically with SPSS or qualitatively with a range of approaches, and finally presenting and thinking critically about research findings. They are shown the importance of research ethics, and coverage of the replication crisis and the open science movement is considered throughout. The online resources present a wealth of opportunities for students to practice what they have learned, and the title is supported by an excellent range of video support materials for both the qualitative and quantitative sections, including SPSS \u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eFeels like having a friend at your side guiding you through the process! * Dr Maxine Woolhouse, Leeds Beckett University *\u003cbr\u003eBrilliant when it comes to using everyday language to explain complicated topics in such a simple way...The authors are masters of this subject, but they are relating to the students and explaining things on a level which students can easily follow and understand. * Kerem Soylemez, Regent's University London *\u003cbr\u003eThe authors understand what it's like to be new to learning about research methods and statistics in Psychology. They never talk down to the reader and their enthusiasm is evident. * Dr Sandra O'Brien, University of Limerick *\u003cbr\u003eEasy to read, engaging with lots of diagrams and screenshots... A useful book that covers everything we want our students to learn. * Dr Saima Noreen, De Montfort University *\u003cbr\u003eI can't think of a book that covers both quantitative and qualitative techniques and research methods to the same level as this book does. * Dr Fraser Milton, University of Exeter *\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eDesigning psychological research 1: The basics of research design 2: Questionnaire design 3: Analysing data for psychological research 4: Introducing SPSS Experimental approaches in psychological research 5: Experimental design 6: t tests 7: One-way independent measures ANOVA 8: One-way repeated measures ANOVA 9: ANCOVA 10: Two-way factorial independent ANOVA 11: Two-way factorial repeated ANOVA 12: Two-way factorial mixed design ANOVA 13: Presenting experimental studies Correlational approaches in psychological research 14: Correlational design 15: Correlations 16: Multiple regression 17: Hierarchical regression 18: Logistic regression 19: Factor analysis 20: Presenting correlational studies Qualitative approaches in psychological research 21: Qualitative design 22: Designing interviews and focus groups 23: Content analysis and thematic analysis 24: Grounded theory 25: Interpretative Phenomenological Analysis 26: Samuel Fairlamb: Discourse analysis 27: Presenting qualitative studies Next steps in psychological research 28: How do I decide what to do with my data? 29: Mixed methods 30: Broadening your research horizons","brand":"Oxford University Press","offers":[{"title":"Default Title","offer_id":48732797567319,"sku":"9780198823049","price":42.99,"currency_code":"GBP","in_stock":true}]},{"product_id":"the-psychology-project-manual-9780198832065","title":"The Psychology Project Manual","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThe most practical guide to completing your research project, where straightforward, student-centred advice is quickly found and easily applied.The Psychology Project Manual supports students through the whole of the empirical project. It is a practical guide addressing common challenges that students face when undertaking the project. Students can quickly and easily find the answer to a question they have. The authors'' approachable writing style also provides information that is direct and straightforward. The manual takes a student-centred approach by incorporating the student voice. In each chapter there are smart solutions, which are challenges that students encountered when conducting their project and detail how they solved or dealt with those challenges. There is also a handy hints feature, which includes advice from students about aspects of the project. In addition, Future focus boxes identify links between students'' research project experience and their future plans. This t\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1: Starting your research project 2: Managing yourself 3: Working with your supervisor 4: Choosing your method 5: Conducting your research ethically 6: Working with participants 7: The Report 8: Presenting your project 9: Employability and your project","brand":"Oxford University Press","offers":[{"title":"Default Title","offer_id":48732802351447,"sku":"9780198832065","price":26.96,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780198832065.jpg?v=1719998461"},{"product_id":"a-dictionary-of-psychology-9780199657681","title":"A Dictionary of Psychology","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eIncluding more than 11,000 definitions, this authoritative and up-to-date dictionary covers all branches of psychology. Clear, concise descriptions for each entry offer extensive coverage of key areas including cognition, sensation and perception, emotion and motivation, learning and skills, language, mental disorder, and research methods. The range of entries extends to related disciplines including psychoanalysis, psychiatry, the neurosciences, and statistics. Entries are extensively cross-referenced for ease of use, and cover word origins and derivations as well as definitions. More than 100 illustrations complement the text.This fourth edition has incorporated a large number of significant revisions and additions, many in response to the 2013 publication of the American Psychiatric Association''s latest edition of Diagnostic and Statistical Manual of Mental Disorders, bringing the Dictionary fully up to date with the most recent literature of the subject.In addition to the alphabet\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eReviews from previous edition Comprehensive, sound, readable, and up-to-date, this is probably the best single-volume dictionary of its kind. Weighty in substance, the work is nonetheless manageable; Colman uses words with grace and economy...Cross references are handled effectively...Browsers will find much food for thought and some intellectual treats...Eager to teach and entertain, Colman offers a list of do-it-yourself demonstrations in the preface. Essential wherever psychology matters. * Library Journal *\u003cbr\u003ean authoritative style, an ability to communicate in clear but concise terms, and extensive knowledge of the subject matter...Andrew Colman appears to possess all of these qualities and his Dictionary of Psychology is the impressive result...The book has many strengths and is certainly to be recommended...I am pleased to have it on my bookshelf. * THES *\u003cbr\u003eCertainly a useful first port of call * The Psychologist *\u003cbr\u003eThis book does not give bare definitions, it clothes them with context * New Scientist *\u003cbr\u003eThe most comprehensive single-volume reference to psychology combines psychiatry and pschoanalysis under one broad umbrella * Forecast *\u003cbr\u003eThis tome is a comprehensive lexicon of psychological terminology within a historical and medical context, creating an entertaining and readable blend of glossary and text. Of interest to psychologists and anyone curious about the intricacies of the human mind, the Dictionary of Psychology is the newest and best authority on psychological nomenclature...[it] will tell you anything you might - or don't - want to know about the subject. Another fine book from Oxford University Press. * www.gadflyonline.com *\u003cbr\u003eThis is an attractive and comfortable dictionary to use...a required addition to larger public libraries and academic libraries...It is both classic and futurist, bringing together theory and practice and physical, emotional, and historical concepts used within the widening scope of psychology. It is great value for the price and would also be a welcome addition to any social scientist's personal library. * Booklist *\u003cbr\u003ean excellent dictionary that clarifies definitions...reasonably priced, this dictionary will be a terrific addition to any library. * American Libraries *\u003cbr\u003ea reasonably priced ready-reference source...a comprehensive overview of psychological terminology in an easy-to-use format. Entries are short, interesting, readable, and give a quick overview of the topic...a useful addition to a variety of libraries...invaluable for students and teachers * American Reference *\u003cbr\u003ethis version, being more fulsome than most, is particularly useful... it will be a true reference aid and should form the backbone of any student library * Rebecca C Tovey, Psychology Teaching Review *\u003cbr\u003eFor professionals and students of psychology, this is a good place to start their research * Library Journal *\u003cbr\u003e[U]seful to laypeople and professionals both * Choice for Academic Libraries *\u003cbr\u003eThe number and range of entries promise, and deliver, great breadth of coverage from every branch if psychology...highly recommended * Booklist *\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface ; Advisory Editors ; Illustration Acknowledgements ; General Acknowledgements ; Layout of Entries ; Greek Alphabet ; The Dictionary ; Appendix 1: Phobias and phobic stimuli ; Appendix 2: Abbreviations and symbols ; Appendix 3: Web links ; Principal sources","brand":"Oxford University Press","offers":[{"title":"Default Title","offer_id":48732876931415,"sku":"9780199657681","price":13.49,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780199657681.jpg?v=1719998778"},{"product_id":"life-events-and-emotional-disorder-revisited-research-and-clinical-applications-9780367371579","title":"Life Events and Emotional Disorder Revisited","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cem\u003eLife Events and Emotional Disorder Revisited\u003c\/em\u003e explores the variety of events that can occur, their inherent characteristics and how they affect our lives and emotions, and in turn their impact on our mental health and wellbeing.\u003c\/p\u003e\u003cp\u003eThe book focuses on current social problems nationally and internationally, showing the reach of life events research including those linked to Covid-19. It also discusses trauma experiences and how they fit in the life events scheme. To underpin the various life event dimensions identified (such as loss, danger and humiliation), the authors have developed an underlying model of human needs, jeopardised by the most damaging life events. This includes attachment, security, identity and achievement. The book brings together classic research findings with new advances in the field of life events research, culminating in a new theoretical framework of life events, including new discussions on trauma, on positive events and an online methodology for\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eGiven the great progress in genetic research it is important to consider advances in the methodologies relating to the \"environment\". This book describes the gold standard approach to the study of life events as precipitating factors for episodes of ill health. The Bedford Square team (of whom Antonia Bifulco, one of the authors of this book was a member) applied meticulous attention to detail and an empathetic interviewing style to obtain deep psychological understanding. The resultant model fostered the development of new approaches to treatment such as befriending, peer and \"grandmother\" support to provide the protective power of a confidante. CLEAR (Computerised Life Events Assessment Record) is a digital update of life events methodology. The acceptability reliability and utility of this new tool which should transform both research and treatment are described in this book.\u003c\/strong\u003e \u003c\/p\u003e\u003cp\u003e\u003cem\u003eProfessor Janet Treasure, OBE, Professor of Psychiatry, \u003c\/em\u003e\u003c\/p\u003e\u003cp\u003e\u003cem\u003eInstitute of Psychiatry, Kings College London.\u003c\/em\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBeginning with a review of the LEDS, a labor-intensive interview with a unique focus on daily events and their relationship to mental disorder, Bifulco and colleague’s book updates the measure and describes a computerized version that avoids many of the pitfalls of checklists designed to replace it. A huge body of research relevant to the LEDS and related measures is reviewed, clearly written w\u003c\/strong\u003e\u003cstrong\u003eith helpful tables and diagrams. The emphasis on positive events and robustness contributing greatly to the field. \u003c\/strong\u003e\u003cstrong\u003eWhile clearly useful to researchers, inclusion of cases, discussion of various therapeutic approaches and clinical implications makes the book a valuable resource for clinicians.\u003c\/strong\u003e \u003c\/p\u003e\u003cp\u003e\u003cem\u003eDr Helen Stein, \u003c\/em\u003e\u003c\/p\u003e\u003cp\u003e\u003cem\u003ePsychologist and Psychoanalyst. \u003c\/em\u003e\u003c\/p\u003e\u003cp\u003e\u003cem\u003eRetired member of the Menninger Foundation research team, \u003c\/em\u003e\u003c\/p\u003e\u003cp\u003e\u003cem\u003eKansas, USA\u003c\/em\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eLife Events and Emotional Disorder Revisited – revives life events research and makes it current. The book takes us on a historical journey in each section. First, back to the epidemiological roots of life events research and the well-established life events work of George Brown and Tirril Harris. It then travels on a whistle stop tour through the recent research on life adversity and role of positive life events including current reflections on the impact of the Covid-19 pandemic. The book offers a new theoretical framework for understanding the impact of life adversity and a contemporary online measure of life stress (the CLEAR) that has widespread implications for research in this area. \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eThis book provides a sophisticated account of life events research over time and a great resource for academics and students alike.\u003c\/strong\u003e \u003c\/p\u003e\u003cp\u003eDr Gemma Traviss-Turner – Lecturer in primary Care, University of Leeds\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e1: Introduction; SECTION 1 – LIFE EVENTS AND DEPRESSION; 2: Life events are multi-dimensional; 3: Trauma – extreme life events; 4: Life events and vulnerability; SECTION 2 – LIFE EVENT MEASUREMENT; 5: Contending with atheoretical measurement; 6: Technology and measuring events; SECTION 3- POSITIVE LIFE EVENTS, RECOVERY AND WELLBEING; 7: Positive events and recovery; 8: Positive events and wellbeing; 9: Conclusion; References; Appendix 1; Index \u003c\/p\u003e","brand":"Taylor \u0026 Francis Ltd","offers":[{"title":"Default Title","offer_id":48733710549335,"sku":"9780367371579","price":97.5,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780367371579.jpg?v=1720001342"},{"product_id":"applied-statistics-i-international-student-edition-9781071807491","title":"Applied Statistics I International Student","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cstrong\u003eApplied Statistics I:Basic Bivariate Techniques\u003c\/strong\u003e has been created from the first half of Rebecca M. Warner's popular \u003cem\u003eApplied Statistics: From Bivariate Through Multivariate Techniques\u003c\/em\u003e. The author's contemporary approach differs from some of the well-worn texts in the market, and reflects current thinking in the field. It spends less time on statistical significance testing, and moves in the direction of the new statistics by focusing more on confidence intervals and effect size. Instructors of upper undergraduate or beginning graduate level courses will find that the greater focus on basic concepts such as partition of variance and effect size is more useful to students, particularly as preparation for more advanced courses. Spending less time on statistical significance testing allows for more time to be devoted to more interesting and useful statistics that students will see in journal articles (such as correlation and regression). This introductory statistic\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Evaluating Numeric Information Introduction Guidelines for Numeracy Source Credibility Message Content Evaluating Generalizability Making Causal Claims Quality Control Mechanisms in Science Biases of Information Consumers Ethical Issues in Data Collection and Analysis Lying with Graphs and Statistics Degrees of Belief Summary 2. Basic Research Concepts Introduction Types of Variables Independent and Dependent Variables Typical Research Questions Conditions for Causal Inference Experimental Research Design Non-experimental Research Design Quasi- Experimental Designs Other Issues in Design and Analysis Choice of Statistical Analysis (Preview) Populations and Samples: Ideal Versus Actual Situations Common Problems in Interpretation of Results Appendix 2 A: More About Levels of Measurement Appendix 2 B: Justification for Use of Likert and Other Rating Scales as Quantitative Variables (In Some Situations) 3. Frequency Distribution Tables Introduction Use of Frequency Tables for Data Screening Frequency Tables for Categorical Variables Elements of Frequency Tables Using SPSS to Obtain a Frequency Table Mode, Impossible Score Values, and Missing Values Reporting Data Screening for Categorical Variables Frequency Tables for Quantitative Variables Frequency Tables for Categorical Versus Quantitative Variables Reporting Data Screening for Quantitative Variables What We Hope to See in Frequency Tables for Categorical Variables What We Hope to See in Frequency Tables for Quantitative Variables Summary Appendix 3 A: Getting Started in IBM SPSS ® version 25 Appendix 3 B: Missing Values in Frequency Tables Appendix 3 C: Dividing Scores into Groups or Bins 4. Descriptive Statistics Introduction Questions about Quantitative Variables Notation Sample Median Sample Mean (M) An Important Characteristic of M: Sum of Deviations from M = 0 Disadvantage of M: It is Not Robust Against Influence of Extreme Scores Behavior of Mean, Median and Mode in Common Real-World Situations Choosing Among Mean, Median, and Mode Using SPSS to Obtain Descriptive Statistics for a Quantitative Variable Minimum, Maximum, and Range: Variation among Scores The Sample Variance s2 Sample Standard Deviation (s or SD) How a Standard Deviation Describes Variation Among Scores in a Frequency Table Why Is There Variance? Reports of Descriptive Statistics in Journal Articles Additional Issues in Reporting Descriptive Statistics Summary Appendix 4 A Order of Arithmetic Operations Appendix 4 B Rounding 5. Graphs: Bar Charts, Histograms, and Box Plots Introduction Pie Charts for Categorical Variables Bar Charts for Frequencies of Categorical Variables Good Practice for Construction of Bar Charts Deceptive Bar Graphs Histograms for Quantitative Variables Obtaining a Histogram Using SPSS Describing and Sketching Bell-Shaped Distributions Good Practices in Setting up Histograms Box Plot (Box and Whiskers Plot) Telling Stories About Distributions Uses of Graphs in Actual Research Data Screening: Separate Bar Charts or Histograms for Groups Use of Bar Charts to Represent Group Means Other Examples Summary 6. The Normal Distribution and z Scores Introduction Locations of Individual Scores in Normal Distributions Standardized or “z” Scores Converting z Scores Back into Original Units of X Understanding Values of z Qualitative Description of Normal Distribution Shape More Precise Description of Normal Distribution Shape Reading Tables of Areas for the Standard Normal Distribution Dividing the Normal Distribution Into Three Regions: Lower Tail, Middle, Upper Tail Outliers Relative to a Normal Distribution Summary of First Part of Chapter Why We Assess Distribution Shape Departure from Normality: Skewness Another Departure from Normality: Kurtosis Overall Normality Practical Recommendations Reporting Information About Distribution Shape, Missing Values, Outliers, and Descriptive Statistics for Quantitative Variables Summary Appendix 6 A: The Mathematics of the Normal Distribution Appendix 6 B: How to Select and Remove Outliers in SPSS Appendix 6 C: Quantitative Assessments of Departure from Normality Appendix 6 D: Why Are Some Real-World Variables Approximately Normally Distributed? 7. Sampling Error and Confidence Intervals Descriptive Versus Inferential Uses of Statistics Notations for Samples Versus Populations Sampling Error and the Sampling Distribution for Values of M Prediction Error Sample Versus Population (Revisited) The Central Limit Theorem: Characteristics of the Sampling Distribution of M Factors that Influence Population Standard Error Effect of N on Value of the Population Standard Error Describing the Location of a Single Outcome for M Relative to a Population Sampling Distribution (Setting Up a z Ratio) What We Do When ?? Is Unknown The Family of t Distributions Tables for t Distributions Using Sampling Error to Set Up a Confidence Interval How to Interpret a Confidence Interval Empirical Example: Confidence Interval for Body Temperature Other Applications for CIs Error Bars in Graphs of Group Means Summary 8. The One-Sample t test: Introduction to Statistical Significance Tests Introduction Significance Tests as Yes\/No Questions About Proposed Values of Population Means Stating a Null Hypothesis Selecting an Alternative Hypothesis The One-Sample t Test Choosing an Alpha (?) Level Specifying Reject Regions Based on ?, Halt and df Questions for the One-Sample t Test Assumptions for the Use of the One-Sample t Test Rules for the Use of NHST First Example: Mean Driving Speed (Nondirectional Test) SPSS Analysis: One Sample t Test for Mean Driving Speed “Exact” p Values Reporting Results for a Two-tailed One-Sample t Test The Driving Speed Data Reconsidered Using a One-Tailed Test Reporting Results for a One-tailed One-Sample t Test: Advantages\/ Disadvantages of One Tailed Tests Traditional NHST Versus New Statistics Recommendations Things You Should Not Say About p Values Summary 9. Issues in Significance Tests: Effect Size, Statistical Power, and Decision Errors Beyond p Values Cohen’s d: An Effect Size Index Factors that Affect the Size of t Ratios Statistical Significance Versus Practical Importance Statistical Power Type I and Type II Decision Errors Meanings of “Error” Use of NHST in Exploratory Versus Confirmatory Research Inflated Risk of Type I Error From Multiple Tests Interpretation of Null Outcomes Interpretation of Null Outcomes Interpretation of Statistically Significant Outcomes Understanding Past Research Planning Future Research Guidelines for Reporting Results What You Cannot Say Summary Appendix 9 A Further Explanation of Statistical Power 10. Bivariate Pearson Correlation Research Situations Where Pearson r Is Used Correlation and Causal Inference How Sign and Magnitude of r Describe an X, Y Relationship Setting Up Scatter Plots With Examples of Perfect Linearity Most Associations Are Not Perfect Different Situations In Which r = 0 Assumptions for Use of Pearson r Preliminary Data Screening for Pearson r Effect of Extreme Bivariate Outliers Research Example Data Screening for Research Example Computation of Pearson r How Computation for Correlation Is Related to Pattern of Data Points in the Scatter Plot Testing the Hypothesis That ?0 = 0 Reporting Many Correlations and Inflated Risk of Type I Error Obtaining CIs for Correlations Pearson’s r and r2 as Effect-Size Indexes and Partition of Variance Statistical Power and Sample Size for Correlation Studies Interpretation of Outcomes for Pearson’s r SPSS Example Results Sections for One and Several Pearson r Values Reasons to Be Skeptical of Correlations Summary Appendix 10 A: Nonparametric Alternatives to Pearson r Appendix 10 B: Setting Up a 95% CI for Pearson r Appendix 10 C: Testing Significance of Differences Between Correlations Appendix 10 D: Factors That Artifactually Influence the Magnitude of Pearson’s r Appendix 10 E: Analysis of Non Linear Relationships 11. Bivariate Regression Research Situations Where Bivariate Regression is Used New Information Provided by Regression Regression Equations and Lines Two Versions of Regression Equations Steps in Regression Analysis Preliminary Data Screening Formulas for Bivariate Regression Coefficients Statistical Significance Tests for Bivariate Regression Confidence Intervals for Regression Coefficients Effect Size and Statistical Power Empirical Example Using SPSS: Salary Data SPSS Output: Salary Data Plotting the Regression Line: Salary Data Results Section: Salary Data Using Regression Equation to Predict Score for Individual: Joe’s Hr Data Partition of SS in Bivariate Regression: Joe’s Hr Data Issues in Planning a Bivariate Regression Study Plotting Residuals Standard Error of the Estimate, sy.x Summary Appendix 11 A OLS Derivation of Equation for Regression Coefficients Appendix 11 B Fully Worked Example for SS values: Joe’s HR Data 12. The Independent Samples t Test Research Situations Where the Independent Samples t Test is Used Hypothetical Research Example Assumptions for Use of the Independent Samples t Test Preliminary Data Screening: Evaluating Violations of Assumptions and Getting to Know Your Data Computation of Independent Samples t Test Statistical Significance of Independent Samples t Test Confidence Interval Around (M1 – M2) SPSS Commands for Independent Samples t Test SPSS Output for Independent Samples t Test Effect-Size Indexes for t Factors that Influence the Size of t Results Section Graphing Results: Means and CIs Decisions About Sample Size for the Independent Samples t Test Issues in Designing a Study Summary Appendix 12 A: A Nonparametric Alternative to the Independent Samples t Test 13. One-Way Between-S Analysis of Variance Research Situations Where Between-S One-Way ANOVA is Used Questions in One-Way Between S ANOVA Hypothetical Research Example Assumptions and Data Screening for One-Way ANOVA Computations for One-Way Between-S ANOVA Patterns of Scores and Magnitudes of SSbetween and SSwithin Confidence Intervals (CIs) For Group Means Effect Sizes for One-Way Between-S ANOVA Statistical Power Analysis for One-Way Between-S ANOVA Planned Contrasts Post Hoc or “Protected” Tests One Way Between S ANOVA Procedure in SPSS Output from SPSS for One Way Between S ANOVA Reporting Results from One Way Between S ANOVA Issues in Planning a Study Summary Appendix A ANOVA Model and Division of Scores Into Components Appendix B Expected Value of F When H0 is True Appendix C Comparison of ANOVA to t Test Appendix D Nonparametric Alternative to One Way Between S ANOVA 14. Paired Samples t-Test Independent Versus Paired Samples Designs Between-S and Within-S or Paired Groups Designs Types of Paired Samples Hypothetical Study: Effects of Stress on Heart Rate Review: Data Organization for Independent Samples New: Data Organization for Paired Samples A First Look at Repeated Measures Data Calculation of Difference (d) Scores Null Hypothesis for Paired Samples t Test Assumptions for Paired Samples t Test Formulas for Paired Samples t Test SPSS Paired Samples t Test Procedure Comparison of Results For Independent Samples t and Paired Samples t Tests Effect Size and Power Some Design Problems in Repeated Measures Designs Results for Paired Samples t-Test: Stress and HR Further Evaluation of Assumptions for Larger Dataset Summary Appendix A Nonparametric Alternative to Paired Samples t: Wilcoxon Signed Rank Test 15. One Way Repeated Measures ANOVA Introduction Null Hypothesis for Repeated Measures ANOVA Preliminary Assessment of Repeated Measures Data Computations for One-Way Repeated Measures ANOVA Use of SPSS Reliability Procedure for One Way Repeated Measures ANOVA Partition of SS in Between-S Versus Within-S ANOVA Assumptions for Repeated Measures ANOVA Choices of Contrasts in GLM Repeated Measures SPSS GLM Procedure for Repeated Measures ANOVA Output for GLM Repeated Measures ANOVA Paired Samples t Tests as Follow Up Results Effect Size Statistical Power Counterbalancing in Repeated Measures Studies More Complex Designs Summary Appendix 15 A Test for Person by Treatment Interaction 16. Factorial Analysis of Variance (Between – S) Research Situations Where Factorial Design Is Used Questions in Factorial ANOVA Null Hypotheses in Factorial ANOVA Screening for Violations of Assumptions Hypothetical Research Situation Computations for Between-S Factorial ANOVA Computation of SS, df, and MS in Two Way Factorial Effect Size Estimates for Factorial ANOVA Statistical Power Follow-Up Tests Factorial ANOVA Using the SPSS GLM Procedure SPSS Output Results Design Decisions and Magnitudes of SS Terms Summary Appendix 16 A: Unequal Cell ns in Factorial ANOVA Appendix 16 B: Weighted Versus Unweighted Means Appendix 16 C: Model for Factorial ANOVA Appendix 16 D: Fixed Versus Random Factors 17. Chi Square Analysis of Contingency Tables Evaluating Association Between Two Categorical Variables First Example: Contingency Tables for Titanic Data What is Contingency? Conditional and Unconditional Probabilities Null Hypothesis for Contingency Table Analysis Second Empirical Example: Dog Ownership Data Preliminary Examination of Dog Ownership Data Expected Cell Frequencies If H0 True Computation of Chi Squared Significance Test Evaluation of Statistical Significance of ?2. Effect Sizes for Chi Squared Chi Squared Example Using SPSS Output from Crosstabs Procedure Reporting Results Assumptions and Data Screening For Contingency Tables Other Measures of Association for Contingency Tables Summary Appendix 17 A: Margin of Error For Percentages in Surveys Appendix 17 B: Contingency Tables With Repeated Measures: McNemar Test Appendix 17 C: Fisher Exact Test Appendix 17 D: How Marginal Distributions for X and Y Constrain Maximum Value of ?? Appendix 17 E: Other Uses of ?2 18. Selection of Bivariate Analyses and Review of Key Concepts Selecting Appropriate Bivariate Analyses Types of Independent and Dependent Variables (Categorical Versus Quantitative) Parametric Versus Nonparametric Analyses Comparisons of Means or Medians Across Groups (Categorical IV and Quantitative DV) Problems with Selective Reporting of Evidence and Analyses Limitations of Statistical Significance Tests and p Values Statistical Versus Practical Significance Generalizability Issues Causal Inference Results Sections Beyond Bivariate Analyses: Adding Variables Some Multivariable or Multivariate Analyses Degrees of Belief","brand":"SAGE Publications Inc","offers":[{"title":"Default Title","offer_id":48738195636567,"sku":"9781071807491","price":105.62,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781071807491.jpg?v=1723811809"},{"product_id":"statistics-for-people-who-think-they-hate-statistics-international-student-edition-9781071808450","title":"Statistics for People Who Think They Hate","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis\u003cstrong\u003eFifth Edition\u003c\/strong\u003eof Neil J. Salkind's\u003cstrong\u003eStatistics for People Who (Think They) Hate Statistics: Using Microsoft Excel\u003c\/strong\u003e, presents an often intimidating and difficult subject in a way that is clear, informative, and personable. Opening with an introduction to Excel, including coverage of how to use functions and formulas, this edition shows students how to install the Excel Data Analysis Tools option to access a host of useful analytical techniques. New to the\u003cstrong\u003eFifth Edition\u003c\/strong\u003eis new co-author Bruce Frey who has added a new feature on statisticians throughout history (with a focus on the contributions of women and people of color). He has updated the Real-World Stats feature, and added more on effect sizes, updated the discussions on hypotheses, measurement concepts like validity and reliability, and has more closely tied analytical choices to the level of measurement of variables.","brand":"SAGE Publications Inc","offers":[{"title":"Default Title","offer_id":48738196980055,"sku":"9781071808450","price":104.96,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781071808450.jpg?v=1723811810"},{"product_id":"an-r-companion-for-applied-statistics-ii-9781071815571","title":"An R Companion for Applied Statistics II","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cstrong\u003eAn R Companion for Applied Statistics II: Multivariable and Multivariate Techniques \u003c\/strong\u003ebreaks the language of the R software down into manageable chunks in order to help students learn how to use R to analyze multivariate data. The book focuses on the statistics generally covered in an intermediate or multivariate statistics course and provides one or two ways to run each analysis in R. The book has been designed to be an R companion to Rebecca M. Warner's \u003cem\u003eApplied Statistics II: Third Edition\u003c\/em\u003e, and includes end-of-chapter instructions for replicating the examples from that book in R. However, this text can also be used as a stand-alone R guide for a multivariate statistics course, without reference to the Warner text. Datasets and scripts to run the examples are provided on an accompanying website\u003cstrong\u003e\u003c\/strong\u003e. \u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface Acknowledgments About the Author CHAPTER 1 • Beyond Two Variables and Null Hypothesis Significance Testing Confidence Intervals Effect Size Meta-Analysis Chapter 1: Summary of Key Functions (AKA: Function Cheat Sheet) CHAPTER 2 • Advanced Data Screening, Outliers, and Missing Values Data Management Coding Missing Values Screening Data Chapter 2: Summary of Key Functions (AKA: Function Cheat Sheet) CHAPTER 3 • Statistical Control Including a Third Variable in Graphs Including a Third Variable Quantitatively Chapter 3: Summary of Key Functions (AKA: Function Cheat Sheet) Appendix 3: R Instructions to Accompany Warner (2020b) CHAPTER 4 • Statistical Control With Regression Analysis Visualizing Associations Between Three Variables Performing Regressions and Semipartial Correlations Chapter 4: Summary of Key Functions (AKA: Function Cheat Sheet) Appendix 4: R Instructions to Accompany Warner (2020b) CHAPTER 5 • Beyond Three Variables: Regression With Multiple Predictors Standard Regression User-Determined Regression Data-Driven Regression Chapter 5: Summary of Key Functions (AKA: Function Cheat Sheet) Appendix 5: R Instructions to Accompany Warner (2020b) CHAPTER 6 • Regression With Dummy Variables One-Way Between-Subjects Analysis of Variance (ANOVA) Regression With Dummy Variables Regression With Quantitative and Dummy Variables Chapter 6: Summary of Key Functions (AKA: Function Cheat Sheet) Appendix 6: R Instructions to Accompany Warner (2020b) CHAPTER 7 • Moderation Interactions With Categorical Predictors Interactions With a Categorical and Quantitative Predictor Interactions With Two Quantitative Predictors Interactions with a Categorical and Quantitative Predictor Interactions with Two Quantitative Predictors Chapter 7: Summary of Key Functions (AKA: Function Cheat Sheet) Appendix 7: R Instructions to Accompany Warner (2020b) CHAPTER 8 • Analysis of Covariance Checking Assumptions Performing ANCOVA Presenting Results Chapter 8: Summary of Key Functions (AKA: Function Cheat Sheet) Appendix 8: R Instructions to Accompany Warner (2020b) CHAPTER 9 • Mediation Checking Assumptions Performing Mediation Analysis Presenting Results Chapter 9: Summary of Key Functions (AKA: Function Cheat Sheet) Appendix 9: R Instructions to Accompany Warner (2020b) CHAPTER 10 • Discriminant Analysis Checking Assumptions Performing Discriminant Analysis Presenting Results Chapter 10: Summary of Key Functions (AKA: Function Cheat Sheet) Appendix 10: R Instructions to Accompany Warner (2020b) CHAPTER 11 • Multivariate Analysis of Variance Checking Assumptions Performing Multivariate Analysis of Variance Performing Factorial Multivariate Analysis of Variance Chapter 11: Summary of Key Functions (AKA: Function Cheat Sheet) Appendix 11: R Instructions to Accompany Warner (2020b) CHAPTER 12 • Exploratory Factor Analysis Performing Principal Components Analysis Performing Principal Axis Factor Analysis Chapter 12: Summary of Key Functions (AKA: Function Cheat Sheet) Appendix 12: R Instructions to Accompany Warner (2020b) CHAPTER 13 • Reliability and Validity for Multiple-Item Scales Test-Retest Reliability Factor Analysis Internal Reliability and Creating Scale Scores Chapter 13: Summary of Key Functions (AKA: Function Cheat Sheet) Appendix 13: R Instructions to Accompany Warner (2020b) CHAPTER 14 • Repeated-Measures Tests: Further Exploration Checking Assumptions One-Way Repeated-Measures Analysis of Variance Mixed Analysis of Variance Chapter 14: Summary of Key Functions (AKA: Function Cheat Sheet) Appendix 14: R Instructions to Accompany Warner (2020b) CHAPTER 15 • Brief Introduction to Latent-Variable Structural Equation Modeling Measurement Models Mediation With Latent-Variable Structural Equation Modeling Chapter 15: Summary of Key Functions (AKA: Function Cheat Sheet) Appendix 15: R Instructions to Accompany Warner (2020b) CHAPTER 16 • Binary Logistic Regression Getting Familiar With the Data Binary Logistic Regression Presenting Results Chapter 16: Summary of Key Functions (AKA: Function Cheat Sheet) Appendix 16: R Instructions to Accompany Warner (2020b) CHAPTER 17 • Additional Statistical Techniques Dealing With Time Dealing With Odd Distributions Dealing With Interdependence Concluding Thoughts References","brand":"SAGE Publications Inc","offers":[{"title":"Default Title","offer_id":48738200518999,"sku":"9781071815571","price":54.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781071815571.jpg?v=1723811811"},{"product_id":"research-and-evaluation-in-education-and-psychology-9781071853801","title":"Research and Evaluation in Education and","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eIdentify, evaluate, and practice good research using \u003cstrong\u003e\u003cem\u003eResearch and Evaluation in Education and Psychology: Integrating Diversity With Quantitative, Qualitative, and Mixed Methods\u003c\/em\u003e\u003c\/strong\u003e by renowned scholar Donna M. Mertens. This introductory research methods text incorporates the viewpoints of various research paradigms into its descriptions of qualitative, quantitative, and mixed methods as well as program evaluation. The work covers five major paradigms: post-positivist, constructivist, transformative, pragmatic, and Indigenous. Special emphasis on conducting research with culturally complex communities, based on the perspectives of feminists, ethnic\/racial minorities, and people with disabilities is a hallmark of this text. In each chapter, the author carefully explains each step of the research process, from the literature review to analysis and reporting. Additionally, each chapter includes a published sample study and abstract to illustrate the concepts discuss\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\"Mertens′s \u003cstrong\u003e\u003cem\u003eResearch and Evaluation\u003c\/em\u003e\u003c\/strong\u003e text is a well-rounded textbook that students enjoy reading because the ideas are presented in such a way that they connect to each student′s area of study. If you want your students to read the chapter, this is the research methods book for your class.\" -- Karen H. Larwin\u003cbr\u003e\"A methods text grounded in research that describes in detail the history behind different methodologies and their historical underpinnings. It has a wide range of study samples to help students make sense of the content.\" -- Erin M. Ramirez\u003cbr\u003e\"Good survey text for research methods\" -- Sawyer Hunley\u003cbr\u003e\"A very good and resourceful book for training scientist-practitioners in the mental health profession.\" -- Allen Appiah-Boateng\u003cbr\u003e\"This is a solid master′s level introductory textbook that addresses the material that helping professionals need to be able to work in the field and to be able to evaluate and consume current research.\" -- Brenda Gerhardt\u003cbr\u003e\"This book provides many good examples\/research studies that can be used in classroom discussions.\" -- Chia-Lin Tsai\u003cbr\u003e\"The author does an excellent job utilizing various features (e.g., charts, tables, checklists, ′extending your thinking,′ textbox, critical questions, research and evaluation examples) that facilitate reader learning, engagement, critical reflection on gained knowledge and various aspects of the research process, commitment to quality and ethics in research, and willingness to make connections and extend one′s thinking. It is well-written and organized, concise, and straightforward.\" -- Elena Yu. Polush\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eChapter 1 • A Brief History of Research: Paradigms, Ethical Practice, and Contested Territory Chapter 2 • Evaluation Chapter 3 • Focusing the Research: Literature Review and Community Engagement Chapter 4 • Experimental and Quasi-Experimental Research Chapter 5 • Causal Comparative and Correlational Approaches Chapter 6 • Survey Methods Chapter 7 • Single-Case Research Chapter 8 • Qualitative Research and Action Research Chapter 9 • History, Narrative Inquiry, and Autoethnography Chapter 10 • Mixed Methods Research Chapter 11 • Sampling Chapter 12 • Data Collection Chapter 13 • Data Analysis, Interpretation, and Use","brand":"SAGE Publications Inc","offers":[{"title":"Default Title","offer_id":48738212479319,"sku":"9781071853801","price":103.55,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781071853801.jpg?v=1723811824"},{"product_id":"applied-regression-models-in-the-social-sciences-9781108926263","title":"Applied Regression Models in the Social Sciences","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eAn accessible and practical guide to the use of applied regression models in testing and evaluating hypotheses dealing with social relationships, with example applications using relevant statistical methods in both Stata and R.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e'This textbook on applied regression by Poston, Conde, and Field is well suited for teaching graduate students in all of the social science fields, but is especially suited for demography, population studies, and public health. It is an excellent contribution to the teaching and practice of regression analysis in the twenty-first century that also can serve as a useful reference book for practitioners.' David Swanson, University of California, Riverside\u003cbr\u003e'This textbook successfully combines theoretical statistical concepts and empirical research examples of applied regression models, from the basic to advanced ones. The best part is the detailed interpretations of the results of statistical analyses. Readers can truly understand the meanings and usages of these statistical numbers.' Lang-Wen Huang, Soochow University, Taipei\u003cbr\u003e'Applied Regression Models in the Social Sciences excels in its focus on the application and interpretation of various regression models and its inclusion of commands in Stata and R. Its sequencing and topical coverage set it apart from others in that the reader is guided through the entire research process with a multitude of examples. This will be a valuable resource to faculty, students, and applied researchers alike.' Ginny Garcia-Alexander, University of Texas at San Antonio\u003cbr\u003e'This textbook fills a critical void in the market for statistical tutorials by bridging the gap between elementary and advanced statistics and providing real-world examples in both Stata and R, allowing students to develop proficiency in the statistical software environments in highest demand. It strikes the perfect balance, neither oversimplifying nor overwhelming with complex mathematics, making it the ideal companion for graduate students seeking a solid foundation in the skills needed to generate social science findings with advanced insights. From correlation analysis to multi-level modeling, this comprehensive and versatile book covers a wide range of regression techniques, equipping learners with a diverse toolkit for trustworthy data analysis and allowing them to transition from the classroom to the laboratory with confidence. The authors' expertise shines through in this clear, comprehensive, and engaging book that is destined to be an indispensable resource.' Stephanie Bohon, University of Tennessee\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eList of figures; List of tables; Preface; 1. Introduction; 2. Undertaking statistical analysis using Stata; 3. Undertaking statistical analysis using R; 4. Descriptive statistics and the normal distribution; 5. Statistical tables and cross-tabulations; 6. Bivariate regression and correlation and statistical inference; 7. Multiple regression and correlation; 8. Regression assumptions and diagnostics and robust regression; 9. Missing data; 10. Issues of survey design; 11. Binomial logistic regression; 12. Ordinal logistic regression; 13. Multinomial logistic regression; 14. Count regression; 15. Survival analysis; 16. Multilevel models; 17. Other issues and final; References; Index.","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":48738344862039,"sku":"9781108926263","price":42.74,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781108926263.jpg?v=1723811955"},{"product_id":"essentials-of-assessment-report-writing-second-edition-9781119218685","title":"Essentials of Assessment Report Writing Second","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThe bestselling guide to reporting writing, updated and reworked for today's practice Essentials of Assessment Report Writing offers effective solutions to the creation of reader-friendly, yet targeted, psychological, and educational assessment reports.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eSeries Preface ix\u003c\/p\u003e \u003cp\u003ePreface to the Second Edition xi\u003c\/p\u003e \u003cp\u003eAcknowledgements xiii\u003c\/p\u003e \u003cp\u003eOne Introduction and Overview 1\u003c\/p\u003e \u003cp\u003eTwo Make Your Reports Classy and Gorgeous 11\u003c\/p\u003e \u003cp\u003eThree Writing with Clarity, Style, and Purpose 30\u003c\/p\u003e \u003cp\u003eFour Introductory Sections of the Report 73\u003c\/p\u003e \u003cp\u003eFive Behavioral Observations 97\u003c\/p\u003e \u003cp\u003eSix Communicating Test Results 128\u003c\/p\u003e \u003cp\u003eSeven Diagnostic Impressions and Summary 157\u003c\/p\u003e \u003cp\u003eEight Personality Assessment (by Rita W. McCleary) 166\u003c\/p\u003e \u003cp\u003eNine Recommendations 197\u003c\/p\u003e \u003cp\u003eTen Special Issues in Report Writing 230\u003c\/p\u003e \u003cp\u003eEleven Tips for Writing Evaluation Reports (by John O. Willis) 249\u003c\/p\u003e \u003cp\u003eTwelve Annotated Case Reports 260\u003c\/p\u003e \u003cp\u003eReferences 445\u003c\/p\u003e \u003cp\u003eIndex 452\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":48738358034775,"sku":"9781119218685","price":40.8,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781119218685.jpg?v=1723811970"},{"product_id":"basic-statistics-for-psychologists-9781137607461","title":"Basic Statistics for Psychologists","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eWritten by an experienced teacher of statistics, the new edition of this accessible yet authoritative textbook covers all areas of undergraduate statistics and provides a firm foundation upon which students can build their own knowledge. Featuring new chapters on Bayesian and multiple regression analysis, this book gives students a working understanding of how to conduct reliable and methodical research using statistics. Brysbaert illustrates the key concepts using examples from psychological research, with clear formulas and explanations for calculations. With helpful chapter-by-chapter guidance for carrying out tests using SPSS, as well as coverage of jamovi and JASP software, this book aims to develop students' confidence in statistical analysis, and to take the fear out of the topic. It offers an easily navigable layout filled with features that help learners to avoid common pitfalls and check their understanding along the way. This engaging and informative guide is essential rea\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Using statistics in psychology research 2. Summarising data using the frequency distribution 3. Summarising data using measures of central tendency 4. Summarising data using measures of variability 5. Standardised scores, normal distribution and probability 6. Using the t-test to measure the difference between independent groups 7. Interpreting the results of a statistical test: The traditional approach 8. Interpreting the results of a statistical test: The Bayesian approach 9. Non-parametric tests of difference between independent groups 10. Using the t-test to measure change in related samples 11. Non-parametric tests to measure changes in related samples 12. Improving predictions through the Pearson correlation coefficient 13. Improving predictions through non-parametric tests 14. Using analysis of variance as an extension of t-tests 15. Using analysis of variance for designs with more than one independent variable 16. More than one predictor in correlational studies: Multiple regression 17. More than one observation per condition per participant: Mixed-effects analysis.","brand":"Bloomsbury Publishing PLC","offers":[{"title":"Default Title","offer_id":48738403582295,"sku":"9781137607461","price":61.28,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781137607461.jpg?v=1723812017"},{"product_id":"spss-for-psychologists-9781352009941","title":"SPSS for Psychologists","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eStudents can find statistical analysis a challenging and complex task and, in order to master the techniques and complete their assignments and projects successfully, they need to have a sound understanding of IBM SPSS and its functions. Updated to be compatible with IBM SPSS 25, with handy screen-shots throughout, the seventh edition of this trusted and practical textbook will take students on a step-by-step journey towards carrying out a range of essential tasks with confidence: from performing an analysis to interpreting outputs and reporting the results. This book is an unbeatable, must-have guide to IBM SPSS that will allow undergraduate psychology students to master this powerful software tool. Accompanying online resources for this title can be found at bloomsburyonlineresources.com\/spss-for-psychologists. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Introduction 2. Data entry in SPSS 3. Exploring, cleaning and graphing data in SPSS 4. Data handling 5. Tests of difference for one-and two-sample designs 6. Tests of correlation and bivariate regression 7. Tests for nominal data 8. One-way analysis of variance 9. Factorial analysis of variance 10. Multiple regression 11. Analysis of covariance and multivariate analysis of variance 12. Discriminant analysis and logistic regression 13. Factor analysis and reliability and dimensionality of scales 14. Using syntax and other useful features of SPSS.","brand":"Bloomsbury Publishing PLC","offers":[{"title":"Default Title","offer_id":48738627551575,"sku":"9781352009941","price":32.29,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781352009941.jpg?v=1720049703"},{"product_id":"essentials-of-interpretative-phenomenological-analysis-9781433835650","title":"Essentials of Interpretative Phenomenological","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eA step-by-step guide to a research method that investigates how people make sense of their lived experience in the context of their personal and social worlds.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eThis is an excellent guide to the theory and practice of interpretative phenomenological analysis; it is well written, carefully organized, engaging, and accessible. The authors have a remarkable knack for anticipating and effectively answering the questions that are typically raised by novice researchers as well as guiding them through the intricacies of qualitative research. -- Steen Halling, PhD, Professor Emeritus, Department of Psychology, Seattle University, Seattle, WA, United States\u003cbr\u003eFrom setting the background context to interpretative phenomenological analysis (IPA) through to offering exemplar studies, this book gives a thorough introduction to the steps a novice researcher will need to follow to conduct their first study using this method. The clear and concise summary also serves as an excellent refresher for anyone returning to IPA as an analytic method after some time away. An excellent addition to qualitative methodology bookshelves. -- Jane Montague, PhD, School of Psychology, University of Derby, Derby, United Kingdom\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eSeries Foreword—Clara E. Hill and Sarah Knox\u003cbr\u003e\u003cbr\u003e Chapter 1: What Is Interpretative Phenomenological Analysis?\u003cbr\u003e A Note on Terminology\u003cbr\u003e Theoretical Underpinnings of IPA\u003cbr\u003e\u003cbr\u003e Chapter 2: Designing an IPA Study\u003cbr\u003e Choosing a Topic and a Research Question\u003cbr\u003e Determining What Type of Data to Collect\u003cbr\u003e Sampling and Recruiting Participants\u003cbr\u003e Practical and Ethical Considerations\u003cbr\u003e\u003cbr\u003e Chapter 3: Collecting Data\u003cbr\u003e Rationale for an Interview Guide\u003cbr\u003e How to Design an Interview Guide\u003cbr\u003e Conducting the Interview\u003cbr\u003e Transcription\u003cbr\u003e\u003cbr\u003e Chapter 4: Analyzing the Data: Starting With the First Case\u003cbr\u003e Step 1. Reading and Exploratory Notes\u003cbr\u003e Step 2. Formulating Experiential Statements\u003cbr\u003e Step 3. Finding Connections and Clustering Experiential Statements\u003cbr\u003e Step 4. Compiling the Table of Person Experiential Themes\u003cbr\u003e Some More Thoughts on Clustering and Compiling\u003cbr\u003e One Case or More Than One Case?\u003cbr\u003e\u003cbr\u003e Chapter 5: Cross-Case Analysis\u003cbr\u003e\u003cbr\u003e Chapter 6: Writing Up the Study\u003cbr\u003e Results Section\u003cbr\u003e Other Sections of an IPA Manuscript\u003cbr\u003e\u003cbr\u003e Chapter 7: Variations on the Method and More Complex Designs\u003cbr\u003e\u003cbr\u003e Chapter 8: Methodological Integrity\u003cbr\u003e\u003cbr\u003e Chapter 9: Summary and Conclusions\u003cbr\u003e Deciding Whether IPA Is the Right Methodology for You\u003cbr\u003e Concluding Words\u003cbr\u003e\u003cbr\u003e Appendix: Exemplar Studies\u003cbr\u003e References\u003cbr\u003e Index\u003cbr\u003e About the Authors\u003cbr\u003e About the Series Editors\u003cbr\u003e ","brand":"American Psychological Association","offers":[{"title":"Default Title","offer_id":48739181101399,"sku":"9781433835650","price":21.84,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781433835650.jpg?v=1720051409"},{"product_id":"the-complete-researcher-9781433839054","title":"The Complete Researcher","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eLearning how to do research well is not easy, and for newer scholars the process can feel overwhelming.\u003c\/b\u003e\u003cb\u003eUsing clear and supportive language, this book is designed to help graduate students and early career professionals in psychology develop skills to effectively work through the research process. \u003c\/b\u003e\u003cbr\u003e \u003cbr\u003e Chapters cover the essential character traits and skills that are necessary to become an effective researcher, walk through the main steps for completing a research project from start to finish, and discuss considerations when building a career and research program.\u003cbr\u003e\u003cbr\u003e Rather than the nitty-gritty of research methods, authors Joshua N. Hook, Don E. Davis, and Daryl R. Van Tongeren focus on the big picture of what is required in research. Chapters in the first section address overarching principles—the personal growth, attributes, and habits that are important to develop to become a successful researcher. The second section illustrates the key steps in\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e Foreword\u003cbr\u003e Everett L. Worthington, Jr.\u003cbr\u003e Preface\u003cbr\u003e Introduction: How This Book Can Help Build Research and Leadership Skills\u003cbr\u003e\u003cbr\u003e\u003cb\u003eI. Principles: Building Yourself Into a Successful Researcher\u003c\/b\u003e\u003cbr\u003e Chapter 1. Finding and Sustaining Motivation: Connecting Your Values to the Research Process\u003cbr\u003e Chapter 2. Building Community as You Build Your Research Career\u003cbr\u003e Chapter 3. Building Expertise in Research\u003cbr\u003e Chapter 4. Setting Goals for Your Research\u003cbr\u003e Chapter 5. Developing Good Habits for Successful Research\u003cbr\u003e Chapter 6. Cultivating Positive Beliefs to Foster Research Success\u003cbr\u003e Chapter 7. Nurturing the Mind–Body Connection to Support Productivity\u003cbr\u003e Chapter 8. Navigating Adversity During the Research Process\u003cbr\u003e\u003cbr\u003e\u003cb\u003eII. Plan: The Research Project From Start to Finish\u003c\/b\u003e\u003cbr\u003e Chapter 9. Choosing a Topic for Your Research Project\u003cbr\u003e Chapter 10. Conducting a Literature Review\u003cbr\u003e Chapter 11. Designing Your Research Project\u003cbr\u003e Chapter 12. Planning the Method Section\u003cbr\u003e Chapter 13. Preparing for the Proposal Meeting\u003cbr\u003e Chapter 14. Planning for and Conducting Data Collection\u003cbr\u003e Chapter 15. Analyzing Data and Writing Your Results\u003cbr\u003e Chapter 16. Crafting the Discussion\u003cbr\u003e Chapter 17. Writing the Abstract\u003cbr\u003e Chapter 18. Making a Conference Presentation\u003cbr\u003e Chapter 19. Preparing Your Research Project for Publication\u003cbr\u003e\u003cbr\u003e\u003cb\u003eIII. Program: Developing Leadership Skills and Jump-Starting Your Research Career \u003c\/b\u003e\u003cbr\u003e Chapter 20. Stepping Into Leadership in Your Research Career\u003cbr\u003e Chapter 21. Developing a Research Program\u003cbr\u003e Chapter 22. Collaborating With Others in Research\u003cbr\u003e Chapter 23. Making the Transition From Graduate Student to Professor\u003cbr\u003e Chapter 24. Mentoring Students\u003cbr\u003e Chapter 25. Balancing Cohesion and Inclusion in Teams\u003cbr\u003e Chapter 26. Conclusion: Final Thoughts on Growing as a Researcher\u003cbr\u003e\u003cbr\u003e\u003ci\u003eAppendix: Sample Timelines\u003cbr\u003e References\u003cbr\u003e Index\u003cbr\u003e About the Authors\u003c\/i\u003e\u003c\/p\u003e","brand":"American Psychological Association","offers":[{"title":"Default Title","offer_id":48739181592919,"sku":"9781433839054","price":33.3,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781433839054.jpg?v=1720051410"},{"product_id":"eeg-methods-for-the-psychological-sciences-9781446283004","title":"EEG Methods for the Psychological Sciences","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eA unique and important resource, full of critical practical knowledge and technical details made readily accessible. \u003cbr\u003e \u003cstrong\u003e\u003cem\u003e- Tiffany Ito, University of Colorado at Boulder\u003c\/em\u003e\u003c\/strong\u003e\u003cbr\u003e \u003cbr\u003e A comprehensive and engaging guide to EEG methods in social neuroscience; Dickter and Kiefabber offer practical details for conducting EEG research in a social\/personality lab, with a broad perspective on how neuroscience can inform psychology. This is a unique and invaluable resource - a must-have for scientists interested in the social brain.\u003cbr\u003e \u003cstrong\u003e\u003cem\u003e- David M. Amodio, New York University \u003c\/em\u003e\u003c\/strong\u003e\u003cbr\u003e \u003cbr\u003e Electroencephalography (EEG) has seen a dramatic increase in application as a research tool in the psychological sciences in recent years. \u003cbr\u003e \u003cbr\u003e This book provides an introduction to the technology and techniques of EEG in the context of social and cognitive neuroscience research that will appeal to investigators (students or researchers) wish\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eA unique and important resource, full of critical practical knowledge and technical details made readily accessible. -- Tiffany Ito\u003cbr\u003eA comprehensive and engaging guide to EEG methods in social neuroscience; Dickter and Kiefabber offer practical details for conducting EEG research in a social\/personality lab, with a broad perspective on how neuroscience can inform psychology. This is a unique and invaluable resource—a must-have for scientists interested in the social brain. -- David M. Amodio\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eChapter 1 – Introduction to Social Neuroscience\t Chapter 2 – From Cortex to Computer: The Principles of Recording EEG\t Chapter 3 – The EEG Laboratory Chapter 4 – Getting Started with Data Analysis: Data Pre-Processing\t Chapter 5 – Time-Domain Analysis\t Chapter 6 – Frequency-Domain Analysis\t Chapter 7 – Time-Frequency Analysis\t Chapter 8 – Current Domains \u0026amp; Future Directions","brand":"Sage Publications Ltd","offers":[{"title":"Default Title","offer_id":48739324658007,"sku":"9781446283004","price":62.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781446283004.jpg?v=1720051913"},{"product_id":"selecting-the-right-analyses-for-your-data-9781462516025","title":"Selecting the Right Analyses for Your Data","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eWhat are the most effective methods to code and analyze data for a particular study? This thoughtful and engaging book reviews the selection criteria for coding and analyzing any set of data--whether qualitative, quantitative, mixed, or visual. The authors systematically explain when to use verbal, numerical, graphic, or combined codes, and when to use qualitative, quantitative, graphic, or mixed-methods modes of analysis. Chapters on each topic are organized so that researchers can read them sequentially or can easily flip and find answers to specific questions. Nontechnical discussions of cutting-edge approaches--illustrated with real-world examples--emphasize how to choose (rather than how to implement) the various analyses. The book shows how using the right analysis methods leads to more justifiable conclusions and more persuasive presentations of research results.\u003cbr\u003e\u003cbr\u003e User-Friendly Features\u003cbr\u003e *Chapter-opening preview boxes that highlight useful topics addressed.\u003cbr\u003e *End\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThis is the first book I've seen that goes into depth about coding, which is sorely needed. It also does an excellent job of discussing analysis and interpretation at a conceptual level, while providing enough guidance on where to go to get the needed technical assistance. The way the authors compare and contrast quantitative and qualitative methods, approaches, and ways of thinking is particularly strong and well balanced.--Marji Erickson Warfield, PhD, Heller School for Social Policy and Management, Brandeis University\u003cbr\u003e\u003cbr\u003eThis is a comprehensive resource that delivers what the title promises and more. It provides a great introduction to nearly all data-analytic methods currently utilized by social scientists, and very effectively guides the reader to more in-depth treatments of the subject matter.--Ryan Spohn, PhD, School of Criminology and Criminal Justice, University of Nebraska at Omaha\u003cbr\u003e\u003cbr\u003eA field guide for researchers who are looking for detailed discussions of the choices they have to make as they work through the research process, whether they are taking a quantitative, qualitative, or combined approach. This isn't a 'how to' in terms of analyses, but more of a 'here's what to consider' book. The tone is at once casual and professional, incorporating real-world examples and occasional humor. The authors have their fingers on the pulse of the field and clearly explain complex ideas.--Theresa E. DiDonato, PhD, Department of Psychology, Loyola University Maryland\u003cbr\u003e\u003cbr\u003eA useful text. Many students are stymied by data analysis; they think that you just feed data into some software, and voila! I recently told a student that saying a software package will analyze your data is akin to saying Word will write your dissertation. This book gives students data analysis options so they can choose the approach most appropriate for the specific research design.--Janet Salmons, PhD, School of Business and Technology, Capella University\u003cbr\u003e\u003cbr\u003eThe authors are masterful writers who combine depth and accessibility.--Jerrell C. Cassady, PhD, Department of Educational Psychology, Ball State University\u003cbr\u003e\u003cbr\u003eThis book exposes readers to a breadth of coding and analysis considerations for both quantitative and qualitative data. The goal is to teach the reader when it is appropriate to use the various techniques and where to look to learn more. The authors provide a solid foundation of knowledge for navigating a research world where both quantitative and qualitative approaches are valued and necessary. I would definitely use this book in courses. For professional use, I would consult it for areas I am not as familiar with, or to provide resources for students. I particularly enjoyed the nonstatistical examples used to explain concepts; they are helpful and make the book easier and more enjoyable to read.--Tracey LaPierre, PhD, Department of Sociology, University of Kansas\u003cbr\u003e\u003cbr\u003e -This book, along with When to Use What Research Design…is useful for researchers and advanced students in education, sociology, psychology, political science, and criminal justice. Recommended. Graduate students through professionals\/practitioners.--Choice Reviews, 1\/1\/2015\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003ePreface\u003cbr\u003e General Introduction\u003cbr\u003e I. Coding Data—by Design\u003cbr\u003e 1. Coding Survey Data\u003cbr\u003e 2. Coding Interview Data\u003cbr\u003e 3. Coding Experimental Data\u003cbr\u003e 4. Coding Data from Naturalistic and Participant Observations\u003cbr\u003e 5. Coding Archival Data\u003cbr\u003e II. Analysis and Interpretation of Quantitative Data\u003cbr\u003e 6. Describing, Exploring, and Visualizing Your Data\u003cbr\u003e 7. What Methods of Statistical Inference to Use When\u003cbr\u003e 8. What Associational Statistics to Use When\u003cbr\u003e 9. Advanced Associational Methods and Analyses\u003cbr\u003e 10. Model Building and Selection : Quantitative Data\u003cbr\u003e III. Analysis and Interpretation of Qualitative and Combined\/Mixed Data\u003cbr\u003e 11. Inductive Analyses of Qualitative Data: Ethnographic Approaches and Grounded Theory\u003cbr\u003e 12. Deductive Analyses of Qualitative Data: Comparative Case Studies and Qualitative Comparative Analysis\u003cbr\u003e 13. Coding and Analyzing Data from Combined and Mixed Designs\u003cbr\u003e 14. Conclusion\u003c\/p\u003e","brand":"Guilford Publications","offers":[{"title":"Default Title","offer_id":48739350511959,"sku":"9781462516025","price":77.89,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781462516025.jpg?v=1720051986"},{"product_id":"how-to-do-research-9781483385129","title":"How To Do Research","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eDesigned to help students make the leap from \u003cem\u003elearning\u003c\/em\u003e \u003cem\u003eabout\u003c\/em\u003e research to \u003cem\u003edoing\u003c\/em\u003e research, this manual provides an easy-to-understand walkthrough of the entire research process, from selecting a topic and conducting a literature review through presenting an APA-style paper or presentation. All of the 15 cross-disciplinary labs included are appropriate for use in the social, behavioral, and health sciences, and follow a consistent format: objective, description of a journal article, canned data, examples of what output should look like, pointers on interpreting the output, and a suggested activity for those who wish to collect their own data.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePART I: Before You Collect Data LAB 1. Finding a Topic, Finding Sources, and Critically Reading Appropriate Articles Finding a Topic What Are the Steps of a Research Project? Tips for Finding Sources How to Read an Article Closure If You Want to Go Further . . . Secondary Analyses of Large Data Sets Available Online LAB 2: How to Write a Literature Review The Literature Review APA Style If You Want to Go Further . . . Writing “Good” LAB 3: After the Literature Review: Theory \u0026gt; Hypothesis \u0026gt; Design \u0026gt; Analysis \u0026gt; Results \u0026gt; Interpretation The Logic Behind the Research Theory \u0026gt; Hypothesis \u0026gt; Design \u0026gt; Analysis: Method Section Theory \u0026gt; Hypothesis \u0026gt; Design \u0026gt; Analysis \u0026gt; Results Theory \u0026gt; Hypothesis \u0026gt; Design \u0026gt; Analysis \u0026gt; Results \u0026gt; Interpretation If You Want to Go Further . . . Cultural Considerations Pick a Card, Any Card . . . LAB 4: Ethics of Research How to Treat Participants (Human or Otherwise) The Ethics of Reporting Research If You Want to Go Further . . . The Role of the IRB Preparing a Proposal for the IRB What to Expect Once Your Project Has Been Approved PART II: Collecting Data - Research Designs and Tools LAB 5: Qualitative Research Qualitative Research: What Is It, and What Do You Do With It? If You Want to Go Further . . . Content Analysis What’s the Point of All This Qualitative Information? Development of a Grounded Theory Communicating the Results LAB 6: Case Studies and Single-Subject Designs Case Study Versus Single-Subject Design Who Uses Behavior Modification? If You Want to Collect Your Own Data . . . It′s All About You If You Want To Go Further . . . Large-Scale Epidemiology: The Opposite Approach LAB 7: Surveys Types of Survey Questions Writing the Method If You Want To Collect Your Own Data . . . Distributing the Survey Informed Consent—Really, Really Important! Producing the Abbreviated Lab Report If You Want to Go Further . . . Developing the Survey LAB 8: Descriptive and Inferential Statistics Descriptive Versus Inferential Statistics Scales of Measurement T-Test Closure If You Want to Go Further . . . More About Effect Size Types of Effect Size Statistics How Big Is Big Enough? To Summarize Reviewing What You′ve Learned: Answer Key LAB 9: Correlational Design Experimental Versus Non-Experimental If You Want to Collect Your Own Data . . . Closure If You Want to Go Further . . . Partial Correlations LAB 10: Regression Analysis A Step Up Practice and Review Summing Up If You Want to Go Further . . . Hierarchical Regression LAB 11: Two-Group Designs The Two-Group Design If You Want to Collect Your Own Data . . . Be the Participant Levels of Processing Data If You Want to Go Further . . . Chi-Squared Analysis LAB 12: Multiple-Groups Designs Going Beyond the Two-Group Design If You Want to Collect Your Own Data . . . Cautions! Putting It All Together If You Want to Go Further . . . Categorical IVs and DVs in Regression Coding Categorical Predictor Variables for Regression Logistic Regression LAB 13: Factorial Designs Background Are We There Yet? More Practice With Interactions If You Want to Go Further . . . More About Testing Interactions What Happens With Categorical Predictors? What Happens With Repeated-Measures Data? Answers for More Practice With Interactions PART III: After Collecting Data LAB 14: Writing the Discussion Section, Sharing Your Findings Using a Poster or Oral Presentation Discussion Section Checklist Creating and Presenting a Poster Preparing an Oral Presentation of Your Findings Closure If You Want to Go Further . . . The Publication Process: What to Expect When You’re Submitting LAB 15: Tables and Figures Tables Figures How Do I Create a Figure? Using SPSS If You Want to Collect Your Own Data . . . If You Want to Go Further . . . A Few More (Optional) Things In Conclusion","brand":"SAGE Publications Inc","offers":[{"title":"Default Title","offer_id":48739660693847,"sku":"9781483385129","price":48.6,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781483385129.jpg?v=1720052842"},{"product_id":"an-easyguide-to-research-design-spss-9781506385488","title":"An EasyGuide to Research Design \u0026 SPSS","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eAn EasyGuide to Research Design and SPSS® is an essential resource for students to successfully navigate and complete research projects. Using a clear, concise, and conversational writing style, authors Beth M. Schwartz, Janie H. Wilson, and Dennis M. Goff cover all of the most basic and common designs and analyses that students need to know for appropriately testing a hypothesis. The handbook includes step-by-step instructions accompanied by ample screenshots for working with data in SPSS®, along with guidance on interpreting outputs and formatting results in APA style. The Second Edition features a streamlined organization, updated references, and new content on factorial designs, effect size, and G*Power.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface About the Authors SECTION I. OVERVIEW OF BASIC DESIGN DECISIONS 1. The Marriage of Stats and Methods: ’til Death Do They Part We Want to Help Basic Steps of Research Summary 2. Nominal, Ordinal, Interval, or Ratio: Why Your Type of Data Really Does Matter Nominal Data Ordinal Data Interval Data Ratio Data Summary 3. Designing Your Hypothesis: To KISS (Keep It Simple, Student) or to Complicate Matters How Many Variables Should I Include? How Many Participants Should I Include? How Many Independent Variables Should I Include? Including More Than One Independent Variable Choosing the Number of Levels of Each Variable Choosing Your Dependent Variables Avoiding the Unmeasurable Dependent Variables How Many Dependent Variables to Include Summary SECTION II. YOUR BASIC SPSS TOOLBOX 4. Why SPSS and Not Other Software, Your Calculator, Fingers, or Toes 5. Handling Your Data in SPSS: Columns, and Labels, and Values . . . Oh My! The Structure of SPSS When to Create Your Data File: Yes, Even Before Data Collection Setting Up Your Data File Importing Data Naming and Labeling Your Variables How to Keep Track and Remember the Details of Your Data File Creating New Variables in Your Data File: Transformations Calculating a Total or Mean Score Recording Variables Conducting Analyses With Only Part of Your Collected Data: Split File and Select Cases Summary 6. Descriptive Statistics: Tell Me About It Describing Nominal Data Describing Ordinal Data Describing Interval or Ratio Data Describing Data With Two Samples Summary SECTION III. DESIGNS, STATISTICS, INTERPRETATION, AND WRITE-UP IN APA STYLE 7. Between-Groups Designs: Celebrate Your Independence! One IV, Two Levels Between Groups With Two Levels of an IV Independent-Samples t-Test With a Quasi-IV Between Groups With More Than Two Levels of an IV Between Groups With More Than One IV Summary 8. Repeated-Measures Designs: Everybody Plays! One Independent Variable With Two Levels Expanding the Number of Levels for Your Independent Variable Adding Another Factor: Within-Subjects Factorial Designs Summary 9. Advanced Research Designs: Complicating Matters Mixed Designs: One Between Variable and One Repeated-Measures Variable A Multivariate Design: Measuring It All Including More Than One Dependent Variable in Your Design ANCOVA Summary 10. Correlational Analysis: How Do I Know If That Relationship Is Real? Correlational Analysis: Two Variables Prediction With Two Variables: Simple Linear Regression Prediction With Several Variables: Multiple Linear Regression Summary 11. Chi Square: Staying on the Same Frequency What Do You Expect? One-Way Chi Square With More Than Two Levels Two-Way Chi Square Summary 12. How Many Participants Do You Need? More Power to You! Finding Power in SPSS’s General Linear Model Using G*Power to Find Power Planning Sample Sizes for Your Future Research Summary SECTION IV. A SUMMARY 13. Mapping Your Decisions: You Can Get There From Here Making Basic Decisions About Your Design Data With Distinct Groups Interval or Ratio Data With Many Levels Summary 14. APA Results Sections t-Test for Independent Samples (True IV) t-Test for Independent Samples (Pseudo-IV) One-Way ANOVA for Independent Groups (True IV) t-Test for Correlated Samples One-Way ANOVA for Correlated Groups (Repeated Measures) Factorial ANOVA for Correlated Groups (Repeated Measures) Factorial ANOVA for Mixed Groups Factorial ANOVA for Independent Groups Analysis of Covariance Pearson’s r Correlation Pearson’s r Correlation and Simple Regression One-Way c2 Two-Way c2 15. Frequently Asked Questions: Did I Do That? Questions About Research Design Questions About Analyzing Your Data Questions About Interpreting Your Data and Presenting Your Results Summary Glossary Index References","brand":"SAGE Publications Inc","offers":[{"title":"Default Title","offer_id":48739823518039,"sku":"9781506385488","price":61.44,"currency_code":"GBP","in_stock":false}]},{"product_id":"doing-qualitative-research-in-psychology-a-practical-guide-9781526402783","title":"Doing Qualitative Research in Psychology: A","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cem\u003eThis book is not available as a print inspection copy. To download an E-inspection copy \u003c\/em\u003e\u003cem\u003e\u003cem\u003eclick here\u003c\/em\u003e\u003c\/em\u003e\u003cem\u003e or for more information contact your local sales representative.\u003c\/em\u003e\u003cbr\u003e \u003cbr\u003e Taking you through each aspect of the research process and explaining the unique challenges of using qualitative methods in psychology, this book offers a complete guide to successfully conducting a qualitative psychological research project.\u003c\/p\u003e \u003cp\u003eClear, concise and accessible, this ‘how to’ manual folds key skills like research design and using technology and software into each chapter. This second edition offers: \u003cbr\u003e \u003cbr\u003e - A thorough introduction to foundational concepts that support you through each step of the research process\u003cbr\u003e \u003cbr\u003e - New chapters on thematic and narrative analysis\u003cbr\u003e \u003cbr\u003e - A set of digital resources designed to make learning about qualitative methods as easy and interactive as possible, including video recordings and transcripts to build key analysis techniques\u003cbr\u003e \u003cbr\u003e Through a pragmatic, practical lens, this book provides the perspective and the tools you need to recognize, collect, interpret, and communicate quality qualitative psychological data.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eMichael A. Forrester\u003c\/strong\u003e is a Senior Lecturer in Psychology at the University of Kent, Canterbury.\u003cbr\u003e \u003cbr\u003e \u003cstrong\u003eCath Sullivan\u003c\/strong\u003e is a Senior Lecturer in the School of Psychology at the University of Central Lancashire.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis textbook will be a fantastic resource for psychology students, providing the essential theoretical underpinnings of qualitative approaches alongside practical examples, tips and techniques. Subjecting the same transcript to multiple analyses provides a unique opportunity to witness qualitative research in action – to appreciate the value and unique nature of different qualitative methods.\u003cbr\u003e \u003c\/p\u003e \u003cbr\u003e -- Eleanor Bradley\u003cbr\u003eThis book provides an excellent introduction to the main approaches in qualitative research in psychology. Using the same data across all approaches makes this book unique. I highly recommend this very practical guide to graduate students and teachers alike. -- Carolin Demuth\u003cbr\u003e\u003cp\u003eThis accessible and engaging practical guide to collecting and analysing qualitative data is a must have for undergraduate psychology students.\u003c\/p\u003e \u003cbr\u003e -- Craig Owen\u003cbr\u003eWritten both for the novice and those with experience in conducting qualitative research, this is a well-written and accessible text. All aspects of the research process from question formulation through to writing up a research report are covered in detail. -- Dannette Marie\u003cbr\u003eThe textbook is useful for those who have started to plan doing qualitative research in psychology. It gives not only guidelines on how to plan and proceed with the project, but also encourages ethical reflection. -- Eleonora Bielawska-Batorowicz\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eChapter 1: This book and how to use it - Cath Sullivan \u0026amp; Michael Forrester Part I: Formulating Research Questions Chapter 2: Theory and method in qualitative psychology - Cath Sullivan Chapter 3: Research ethics in qualitative research - Nigel King Chapter 4: Quality in qualitative research - Nollaig Frost \u0026amp; Deborah Bailey-Rodriguez Chapter 5: Conducting literature reviews - Rachel Shaw Part II: Collecting Qualitative Data Chapter 6: Approaches to data collection in qualitative research - Stephen Gibson \u0026amp; Sarah Riley Chapter 7: The interview in qualitative research - Nigel King \u0026amp; Siobhan Hugh-Jones Part III: Practical Examples of Qualitative Analysis Chapter 8: Creating a data set to illustrate different approaches to analysis - Stephen Gibson Chapter 9: Thematic analysis - Leanne Freeman \u0026amp; Cath Sullivan Chapter 10: Interpretative phenomenological analysis - Rachel Shaw Chapter 11: Narrative analysis - Deborah Bailey-Rodriguez , Nollaig Frost \u0026amp; Frauke Elichoaff Chapter 12: Discourse analysis - Sally Wiggins \u0026amp; Sarah Riley Chapter 13: Conversation analysis - Michael Forrester Chapter 14: Grounded theory - Alasdair Gordon-Finlayson Part IV: Outcomes and Results Chapter 15: Writing your qualitative research report - Colm Crowley","brand":"Sage Publications Ltd","offers":[{"title":"Default Title","offer_id":48739927654743,"sku":"9781526402783","price":38.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781526402783.jpg?v=1720053440"},{"product_id":"qualitative-psychology-a-practical-guide-to-research-methods-9781529616446","title":"Qualitative Psychology: A Practical Guide to","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eUndertaking qualitative research in psychology can seem like a daunting and complex process, especially when it comes to selecting the most appropriate approach for your project. This book provides a comprehensive and practical introduction to the key approaches in qualitative psychology research from a world-leading group of academics and researchers.\u003c\/p\u003e \u003cp\u003eThis Fourth Edition features timely updates that reflect the most current practice in the field.\u003c\/p\u003e \u003cstrong\u003eJonathan A. Smith\u003c\/strong\u003e is Professor of Psychology at Birkbeck University of London. \u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eIntroduction Conceptual foundations of qualitative psychology Interpretative phenomenological analysis Grounded theory Narrative psychology Conversation analysis Discourse analysis Thematic analysis: A Reflexive Approach Cooperative inquiry: An action research practice Focus groups Choosing your approach Demonstrating validity in qualitative psychology","brand":"Sage Publications Ltd","offers":[{"title":"Default Title","offer_id":48740297998679,"sku":"9781529616446","price":40.84,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781529616446.jpg?v=1720054349"},{"product_id":"generalized-linear-models-for-bounded-and-limited-quantitative-variables-9781544334530","title":"Generalized Linear Models for Bounded and Limited","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis book introduces researchers and students to the concepts and generalized linear models for analyzing quantitative random variables that have one or more bounds. Examples of bounded variables include the percentage of a population eligible to vote (bounded from 0 to 100), or reaction time in milliseconds (bounded below by 0). The human sciences deal in many variables that are bounded. Ignoring bounds can result in misestimation and improper statistical inference. Michael Smithson and Yiyun Shou′s book brings together material on the analysis of limited and bounded variables that is scattered across the literature in several disciplines, and presents it in a style that is both more accessible and up-to-date. The authors provide worked examples in each chapter using real datasets from a variety of disciplines. The software used for the examples include R, SAS, and Stata. The data, software code, and detailed explanations of the example models are available on an accompanying website.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eThis book provides a thorough and accessible look at an important class of statistical models. It communicates intuition well and shows through numerous examples that understanding how to analyze bounded outcome variables is useful for applied researchers. -- Jeff Harden\u003cbr\u003eThe authors are leaders in the world-wide effort to extend and tailor the generalized linear model to variables that are bounded and not normally distributed. The discussion of models for data recorded as proportions is worth the price of admission. -- Paul Johnson\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Introduction and Overview Overview of this Book The Nature of Bounds on Variables The Generalized Linear Model Examples 2. Models for Singly-Bounded Variables GLMs for singly-bounded variables Model Diagnostics Treatment of Boundary Cases 3. Models for Doubly-Bounded Variables Doubly-Bounded Variables and \\Natural\" Heteroskedasticity The Beta Distribution: Definition and Properties Modeling Location and Dispersion Estimation and Model Diagnostics Treatment of Cases at the Boundaries 4. Quantile Models for Bounded Variables Introduction Quantile regression Distributions for Doubly-Bounded Variables with Explicit Quantile Functions The CDF-Quantile GLM 5. Censored and Truncated Variables Types of censoring and truncation Tobit models Tobit Model Example Heteroskedastic and Non-Gaussian Tobit Models 6. Extensions and Conclusions Extensions and a General Framework Absolute Bounds and Censoring Multi-Level and Multivariate Models Bayesian Estimation and Modeling Roads Less Traveled and the State of the Art References","brand":"SAGE Publications Inc","offers":[{"title":"Default Title","offer_id":48740475076951,"sku":"9781544334530","price":29.44,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781544334530.jpg?v=1720054793"},{"product_id":"research-design-why-thinking-about-design-matters-9781544350899","title":"Research Design: Why Thinking About Design","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eDesigning research is about making decisions to transform an idea into a plan that can provide answers to a research problem or question. Thinking about, and then making these decisions results in the research design – the plan that will be followed to conduct the research and answer the question. This text engages in a dialogue with the reader, providing a serious but accessible introduction to research design, for use as a guide when designing your own research or when reading the research of others. \u003cbr\u003e \u003cbr\u003e Julianne Cheek and Elise Øby show that designing research is an iterative and reflexive process in which there is constant thinking through, and re-visiting of, decisions about that design as it develops. They use a variety of pedagogical devices throughout the book including \u003cem\u003eTip; Activity; and Putting it into Practice\u003c\/em\u003e boxes to emphasize specific points and encourage readers to think about the practical implications of what they have learned.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis is one of the clearest and most accessible research methods books I have read as a scholar. I highly recommend for both students and teachers alike. It is an excellent survey of both qualitative and quantitative research methods. \u003c\/p\u003e -- Natalie Danielle Baker\u003cbr\u003e\u003cp\u003eStudents writing a thesis or dissertation will benefit from this text′s approach to the development of and design of research. It provides a strong theoretical understanding of the process of moving from an idea to a research proposal to the final research project. A good addition to the library of someone who is doing research.\u003c\/p\u003e -- Hugh Clark\u003cbr\u003e\u003cp\u003eThis book provides a detailed outline of research methods. The authors break the concepts and content into a manner in which it is easily understood by the reader. They also provide activities for the reader to use to apply the content.\u003c\/p\u003e -- Jaimee L. Hartenstein\u003cbr\u003e\u003cp\u003eThe authors describe the complexities of research and clearly describe the many details that go into a well-designed and executed study. They have done an amazing job describing the process of research design. Any student learning about research will benefit from this book.\u003c\/p\u003e -- Lauren Hays\u003cbr\u003e\u003cp\u003eThis is an excellent text for those instructors who recognize the importance of giving research design more comprehensive treatment than is typical of most textbooks.\u003c\/p\u003e -- Scott Liebertz\u003cbr\u003eI will add this book as required reading for my course and personally add this to my collection of research material to aid in my writing and evaluation projects. -- Sherill Morris-Francis\u003cbr\u003e\u003cp\u003eThis text is a very approachable conversation-based introduction to research design for social science students. It provides an inviting approach to the research process that draws the reader in as a participant instead of a spectator. It’s focus on research as an iterative and reflexive process rather than a linear set of steps is refreshing. It engages the reader in the process and introduces questions to assist in understanding the complexity and interconnectivity of each part of the process.\u003c\/p\u003e -- Isla A. Schuchs Carr\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eChapter 1 – Research Design: What You Need to Think About and Why Chapter 2 – Ethical Issues in Research Design Chapter 3 – Developing Your Research Questions Chapter 4 – Why Methodology Matters When Designing Research Chapter 5 – Qualitative and Quantitative Approaches to Designing Research Chapter 6 – Obtaining Data Using Qualitative Approaches Chapter 7 – Analyzing and Interpreting Qualitative Data Chapter 8 – Foundational Design Issues When Using Quantitative Methods Chapter 9 – Collecting Data Using Quantiative Methods Chapter 10 – Designing Research Using Mixed Methods Chapter 11 – Why Knowing and Declaring Your Research Design Hand Matters","brand":"SAGE Publications Inc","offers":[{"title":"Default Title","offer_id":48740476420439,"sku":"9781544350899","price":78.91,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781544350899.jpg?v=1723812304"},{"product_id":"lab-manual-for-psychological-research-and-statistical-analysis-9781544363493","title":"Lab Manual for Psychological Research and","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cstrong\u003e\u003cem\u003eLab Manual for Psychological Research and Statistical Analysis\u003c\/em\u003e\u003c\/strong\u003e serves as an additional resource for students and instructors in a research methods, statistics, or combined course where classroom and\/or laboratory exercises are conducted. Packed with exercises, checklists, and how-to sections, this robust lab manual gives students hands-on guidance and practice for conducting and analyzing their own psychological research. Dawn M. McBride and J. Cooper Cutting provide students with additional opportunities for practice in a course with challenging material that requires practice and repetition for deeper understanding.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eIntroduction for Instructors CHAPTER 1 • Psychological Research: The Whys and Hows of the Scientific Method and Statistics 1a: The Purpose of Statistics 1b: Science in the Media 1c: Understanding Your Data 1d: Displaying Distributions 1e: Making and Interpreting Graphs 1f: Setting up Your Data in SPSS: Creating a Data File 1g: Displaying Distributions in SPSS CHAPTER 2 • Developing a Research Question and Understanding Research Reports 2a: How to Read Empirical Journal Articles 2b: Reading Journal Articles—Mueller and Oppenheimer (2014) 2c: Reading Journal Articles—Roediger and Karpicke (2006) 2d: Reviewing the Literature 2e: Creating References 2f: APA Style 2g: APA-Style Manuscript Checklist CHAPTER 3 • Ethical Guidelines for Psychological Research 3a: Ethics 3b: Ethics in a Published Study 3c: Academic Honesty Guidelines—What Is (and Isn’t) Plagiarism 3d: Examples of Plagiarism 3e: Identifying and Avoiding Plagiarism CHAPTER 4 • Probability and Sampling 4a: Distributions and Probability 4b: Basic Probability 4c: Subject Sampling 4d: Sampling CHAPTER 5 • How Psychologists Use the Scientific Method: Data Collection Techniques and Research Designs 5a: Naturalistic Observation Group Activity 5b: Basics of Psychological Research 5c: Designing an Experiment Activity 5d: Research Design Exercise 5e: Design and Data Collection Exercise CHAPTER 6 • Descriptive Statistics 6a: Central Tendency: Comparing Data Sets 6b: Understanding Central Tendency 6c: Central Tendency in SPSS 6d: Describing a Distribution (Calculations by Hand) 6e: More Describing Distributions 6f: Descriptive Statistics With Excel 6g: Measures of Variability in SPSS CHAPTER 7 • Independent Variables and Validity in Research 7a: Identifying and Developing Hypotheses About Variables 7b: Independent and Dependent Variables 7c: Identifying Variables From Abstracts 7d: Identifying Variables From Empirical Articles 7e: Research Concepts: Designs, Validity, and Scales of Measurement 7f: Internal and External Validity CHAPTER 8 • One-Factor Experiments 8a: Bias and Control Exercise 8b: Experimental Variables 8c: Experiments Exercise 8d: Experimental Designs CHAPTER 9 • Hypothesis-Testing Logic 9a: Inferential Statistics Exercise 9b: Calculating z Scores Using SPSS 9c: The Normal Distribution 9d: z Scores and the Normal Distribution 9e: Hypothesis Testing With Normal Populations 9f: Hypothesis Testing With z Tests CHAPTER 10 • t Tests 10a: Hypothesis Testing With a Single Sample 10b: One-Sample t Test in SPSS 10c: One-Sample t Tests by Hand 10d: Related-Samples t Tests 10e: Related-Samples t Test in SPSS 10f: Independent Samples t Tests 10g: Hypothesis Testing—Multiple Tests 10h: More Hypothesis Tests With Multiple Tests 10i: t Tests Summary Worksheet 10j: Choose the Correct t Test 10k: Writing a Results Section From SPSS Output—t Tests CHAPTER 11 • One-Way Analysis of Variance 11a: One-Way Between-Subjects Analysis of Variance (Hand Calculations) 11b: One-Way Between-Subjects Analysis of Variance in SPSS 11c: Writing a Results Section From SPSS Output—Analysis of Variance 11d: Inferential Statistics and Analyses CHAPTER 12 • Correlation Tests and Simple Linear Regression 12a: Creating and Interpreting Scatterplots 12b: Understanding Correlations 12c: Correlations and Scatterplots in SPSS 12d: Computing Correlations by Hand 12e: Hypothesis Testing With Correlation Using SPSS 12f: Regression CHAPTER 13 • Chi-Square Tests 13a: Chi-Square Crosstabs Tables 13b: Chi-Square Hand Calculations From Crosstabs Tables 13c: Chi-Square in SPSS—Type in the Data 13d: Chi-Square in SPSS From a Data File CHAPTER 14 • Multifactor Experiments and Two-Way Analysis of Variance (Chapters 14 and 15) 14a: Factorial Designs 14b: Factorial Designs Article—Sproesser, Schupp, and Renner (2014) 14c: Factorial Designs Article—Farmer, McKay, and Tsakiris (2014) 14d: Describing Main Effects and Interactions 14e: Factorial Analysis of Variance 14f: Analysis of Variance Review 14g: Main Effects and Interactions in Factorial Analysis of Variance CHAPTER 15 • One-Way Within-Subjects Analysis of Variance 15a: One-Way Within-Subjects Analysis of Variance 15b: One-Way Within-Subjects Analysis of Variance in SPSS 15c: One-Way Within-Subjects Analysis of Variance Review CHAPTER 16 • Meet the Formulae and Practice Computation Problems 16a: Meet the Formula and Practice Problems: z Score Transformation 16b: Meet the Formula and Practice Problems: Single-Sample z Tests and t Tests 16c: Meet the Formula and Practice Problems: Comparing Independent Samples and Related Samples t Tests 16d: Meet the Formula and Practice Problems: One-Factor Between-Subjects Analysis of Variance 16e: Meet the Formula and Practice Problems: Two-Factor Analysis of Variance 16f: Meet the Formula and Practice Problems: One-Factor Within-Subjects Analysis of Variance 16g: Meet the Formula and Practice Problems: Correlation 16h: Meet the Formula and Practice Problems: Bivariate Regression Appendix A. Data Sets and Activities A1: Data Analysis Exercise—von Hippel, Ronay, Baker, Kjelsaas, and Murphy (2016) A2: Data Analysis Exercise—Nairne, Pandeirada, and Thompson (2008) A3: Data Analysis Project—Crammed vs. Distributed Study A4: Data Analysis Project—Teaching Techniques Study A5: Data Analysis Project—Distracted Driving Study A6: Data Analysis Project—Temperature and Air Quality Study A7: Data Analysis Project—Job Type and Satisfaction Study A8: Data Analysis Project—Attractive Face Recognition Study A9: Data Analysis Project—Discrimination in the Workplace Study Appendix B. Overview and Selection of Statistical Tests B1: Finding the Appropriate Inferential Test B2: Finding the Appropriate Inferential Test From Research Designs B3: Finding the Appropriate Inferential Test From Research Questions B4: Identifying the Design and Finding the Appropriate Inferential Test From Abstracts B5: Identifying Variables and Determining the Inferential Test From Abstracts Appendix C. Summary of Formulae References","brand":"SAGE Publications Inc","offers":[{"title":"Default Title","offer_id":48740478484823,"sku":"9781544363493","price":47.5,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781544363493.jpg?v=1720054805"},{"product_id":"the-8-h-principle-for-success-at-work-and-life-9789353769789","title":"The 8-H Principle: For Success at Work and Life","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThere is no single measure of success, and certainly no single answer for how to be successful.Yet by observing the lives of luminaries, we can learn a few strategies to stay ahead in the game. In The 8-H Principle, business tycoon and popular radio jockey Kaushik Ghosh dives deep into the eight principleshonesty, hard work, hobby, holiday, health, humility, humanity, hopethat can help us lead a fulfilling life. Through various case studies the author shares a few learnings: how beyond being a moral imperative, honesty is a practical necessity for success in life; how hard work is not just a tool to further our career but has a deep spiritual dimension to it; how hobbies add purpose to our lives; how cultivating inner peace is not only crucial for our fulfilment, but also benefits others; how prioritizing mental, social, spiritual health along with physical health can truly keep us healthy.","brand":"OM Books International","offers":[{"title":"Default Title","offer_id":48743240892759,"sku":"9789353769789","price":12.59,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9789353769789.jpg?v=1720064735"},{"product_id":"nlp-workbook-a-practical-guide-to-achieving-the-results-you-want-9780007100033","title":"Nlp Workbook A Practical Guide To Achieving The","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eA practical, creative guidebook to achieving the results you want using Neuro Linguistinc Programming techniquesNeuro-Linguistic Programming is based on the idea that the human mind is a sort of computer our verbal and body language are the programmes which allow us to change our own thoughts and influence other people e.g. using body language and speech patterns to create instant rapport with someone else.We already use such techniques on a sub-conscious level NLP simply helps us crystalise what we already know. This work book is a basic, at-home NLP course, providing easy-to-follow exercises and reflections to which the reader can return time and again. It addresses topics such as How to Change Emotional State, the Power of Language and Getting Results, and can be applied to all kinds of different areas e.g. business, sport, health.The NLP workbook is designed to be a basic manual for the beginner in NLP, and also a clear and easy reference manual for practioners and trainers.","brand":"HarperCollins Publishers","offers":[{"title":"Default Title","offer_id":48863797772631,"sku":"9780007100033","price":15.29,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780007100033.jpg?v=1722269071"},{"product_id":"statistical-rethinking-9780367139919","title":"Statistical Rethinking","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003e\u003cstrong\u003eWinner of the 2024 De Groot Prize awarded by the International Society for Bayesian Analysis (ISBA)\u003c\/strong\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eStatistical Rethinking: A Bayesian Course with Examples in R and Stan\u003c\/b\u003e builds your knowledge of and confidence in making inferences from data. Reflecting the need for scripting in today's model-based statistics, the book pushes you to perform step-by-step calculations that are usually automated. This unique computational approach ensures that you understand enough of the details to make reasonable choices and interpretations in your own modeling work.\u003c\/p\u003e\u003cp\u003eThe text presents causal inference and generalized linear multilevel models from a simple Bayesian perspective that builds on information theory and maximum entropy. The core material ranges from the basics of regression to advanced multilevel models. It also presents measurement error, missing data, and Gaussian process models for spatial and phylogenetic confounding.\u003c\/p\u003e\u003cp\u003eThe second edition emphasizes the directed acyclic graph (DAG) approach to causal inference, integrating DAGs into many examples. The new edition also contains new material on the design of prior distributions, splines, ordered categorical predictors, social relations models, cross-validation, importance sampling, instrumental variables, and Hamiltonian Monte Carlo. It ends with an entirely new chapter that goes beyond generalized linear modeling, showing how domain-specific scientific models can be built into statistical analyses.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFeatures\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e \u003cul\u003e \u003cli\u003eIntegrates working code into the main text.\u003c\/li\u003e \u003c\/ul\u003e \u003c\/ul\u003e\u003cul\u003e \u003cul\u003e \u003cli\u003eIllustrates concepts through worked data analysis examples.\u003c\/li\u003e \u003c\/ul\u003e \u003c\/ul\u003e\u003cul\u003e \u003cul\u003e \u003cli\u003eEmphasizes understanding assumptions and how assumptions are reflected in code.\u003c\/li\u003e \u003c\/ul\u003e \u003c\/ul\u003e\u003cul\u003e \u003cul\u003e \u003cli\u003eOffers more detailed explanations of the mathematics in optional sections.\u003c\/li\u003e \u003c\/ul\u003e \u003c\/ul\u003e\u003cul\u003e \u003cul\u003e \u003cli\u003ePresents examples of using the dagitty R package to analyze causal graphs.\u003cbr\u003e\u003cbr\u003e \u003c\/li\u003e \u003cli\u003eProvides the rethinking R package on the author's website and on GitHub.\u003c\/li\u003e \u003c\/ul\u003e \u003c\/ul\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\"The first edition (and this second edition) of *Statistical Rethinking* beautifully outlines the key steps in the statistical analysis cycle, starting from formulating the research question. I find that many statistics textbooks omit the issue of problem formulation and either jump into data acquisition or further into analysis after the fact. McElreath has created a fantastic text for students of applied statistics to not only learn about the Bayesian paradigm, but also to gain a deep appreciation for the statistical thought process. I also found that many students appreciated McElreath’s engaging writing style and humor, and personally found the infusion of humor quite refreshing.\"\u003cbr\u003e\u003ci\u003e- Adam Loy, Carleton College\u003c\/i\u003e\u003c\/p\u003e\u003cp\u003e\"(The chapter) ‘Generalized Linear Madness’ represents another great chapter of an even better edition of an already awesome textbook.\"\u003cbr\u003e\u003ci\u003e- Benjamin K. Goodrich, Columbia University\u003c\/i\u003e\u003c\/p\u003e\u003cp\u003e\"(Chapter 16) is a worthy concluding chapter to a masterful book. Eminently readable and enjoyable. Brimful of small thought-provoking bits which may inspire deeper studies, but first and foremost a window on the trial and error process involved in building a statistical model or rather, indeed, any scientific theory.\"\u003cbr\u003e\u003ci\u003e- Josep Fortiana Gregori, University of Barcelona\u003c\/i\u003e\u003c\/p\u003e\u003cp\u003e\"I do regard the manuscript as technically correct, clearly written, and at an appropriate level of difficulty. The technical approaches and the R codes of the book are perfect for our students. They can learn concepts of Bayesian models, data analysis, and model validation methods through using the R codes. The codes help students to have better understanding of the models and data analysis process.\" \u003cbr\u003e\u003ci\u003e- Nguyet Nguyen, Youngstown State University\u003c\/i\u003e\u003c\/p\u003e\u003cp\u003e \"As a textbook it successfully brings the statistician’s toolbox to a wider audience with an accessible style and good humour. It should be recommended to statistics students, both old and new.\"\u003c\/p\u003e\u003cp\u003e- Nathan Green, \u003ci\u003eJournal of the Royal Statistical Society\u003c\/i\u003e, 2021, https:\/\/doi.org\/10.1111\/rssa.12755\u003c\/p\u003e\u003cp\u003e\"In conclusion, \u003ci\u003eStatistical Rethinking\u003c\/i\u003e frames usual methods and tools taught in graduate statistical courses into a different way to encourage the reader to understand the details and appreciate the underlying assumptions. The accompanying R package offers example codes for some interesting problems that are not available in standard library or other popular packages. This book can be used as a supplement to a graduate course or it can be used by practitioners wanting to brush up their knowledge with better understanding of statistical techniques.\"\u003c\/p\u003e\u003cp\u003e- Abhirup Mallik in \u003ci\u003eTechnometrics\u003c\/i\u003e, August 2021\u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\"The first edition (and this second edition) of *Statistical Rethinking* beautifully outlines the key steps in the statistical analysis cycle, starting from formulating the research question. I find that many statistics textbooks omit the issue of problem formulation and either jump into data acquisition or further into analysis after the fact. McElreath has created a fantastic text for students of applied statistics to not only learn about the Bayesian paradigm, but also to gain a deep appreciation for the statistical thought process. I also found that many students appreciated McElreath’s engaging writing style and humor, and personally found the infusion of humor quite refreshing.\"\u003cbr\u003e\u003ci\u003e~Adam Loy, Carleton College\u003c\/i\u003e\u003c\/p\u003e\u003cp\u003e\"(The chapter) ‘Generalized Linear Madness’ represents another great chapter of an even better edition of an already awesome textbook.\"\u003cbr\u003e\u003ci\u003e~Benjamin K. Goodrich, Columbia University\u003c\/i\u003e\u003c\/p\u003e\u003cp\u003e\"(Chapter 16) is a worthy concluding chapter to a masterful book. Eminently readable and enjoyable. Brimful of small thought-provoking bits which may inspire deeper studies, but first and foremost a window on the trial and error process involved in building a statistical model or rather, indeed, any scientific theory.\"\u003cbr\u003e\u003ci\u003e~Josep Fortiana Gregori, University of Barcelona\u003c\/i\u003e\u003c\/p\u003e\u003cp\u003e\"I do regard the manuscript as technically correct, clearly written, and at an appropriate level of difficulty. The technical approaches and the R codes of the book are perfect for our students. They can learn concepts of Bayesian models, data analysis, and model validation methods through using the R codes. The codes help students to have better understanding of the models and data analysis process.\" \u003cbr\u003e\u003ci\u003e~Nguyet Nguyen, Youngstown State University\u003c\/i\u003e\u003c\/p\u003e\u003cp\u003e\"In conclusion, \u003ci\u003eStatistical Rethinking\u003c\/i\u003e frames usual methods and tools taught in graduate statistical courses into a different way to encourage the reader to understand the details and appreciate the underlying assumptions. The accompanying R package offers example codes for some interesting problems that are not available in standard library or other popular packages. This book can be used as a supplement to a graduate course or it can be used by practitioners wanting to brush up their knowledge with better understanding of statistical techniques.\"\u003cbr\u003e~Abhirup Mallik in \u003ci\u003eTechnometrics\u003c\/i\u003e, August 2021\u003c\/p\u003e\u003cp\u003e\"As a textbook it successfully brings the statistician’s toolbox to a wider audience with an accessible style and good humour. It should be recommended to statistics students, both old and new.\"\u003cbr\u003e~ Nathan Green, \u003ci\u003eJournal of the Royal Statistical Society\u003c\/i\u003e, 2021\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e1. The Golem of Prague. 2. Small Worlds and Large Worlds. Chapter 3. Sampling the Imaginary. 4. Geocentric Models. 5. The Many Variables \u0026amp; The Spurious Waffles. 6. The Haunted DAG \u0026amp; The Causal Terror. 7. Ulysses’ Compass. 8. Conditional Manatees. 8. Conditional Manatees. 9. Markov Chain Monte Carlo. 10. Big Entropy and the Generalized Linear Model. 11. God Spiked the Integers. 12. Monsters and Mixtures. 13. Models With Memory. 14. Adventures in Covariance. 15. Missing Data and Other Opportunities. 16. Generalized Linear Madness. 17. Horoscopes.\u003c\/p\u003e","brand":"Taylor \u0026 Francis Ltd","offers":[{"title":"Default Title","offer_id":48864487768407,"sku":"9780367139919","price":73.14,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780367139919.jpg?v=1722272171"},{"product_id":"psychological-science-9780393884975","title":"Psychological Science","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e","brand":"WW Norton \u0026 Co","offers":[{"title":"Default Title","offer_id":48864552812887,"sku":"9780393884975","price":129.44,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780393884975.jpg?v=1722272444"},{"product_id":"factfulness-9781250123824","title":"Factfulness","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eINSTANT \u003ci\u003eNEW YORK TIMES\u003c\/i\u003e BESTSELLER\u003cbr\u003e\u003cbr\u003e\u003cb\u003eOne of the most important books I've ever read-an indispensable guide to thinking clearly about the world. - Bill Gates\u003cbr\u003e\u003cbr\u003eHans Rosling tells the story of 'the secret silent miracle of human progress' as only he can. But \u003ci\u003eFactfulness\u003c\/i\u003e does much more than that. It also explains why progress is so often secret and silent and teaches readers how to see it clearly. \u003ci\u003e-\u003c\/i\u003eMelinda Gates\u003cbr\u003e\u003cbr\u003e\u003c\/b\u003e\u003cb\u003e\u003ci\u003eFactfulness\u003c\/i\u003e by Hans Rosling, an outstanding international public health expert, is a hopeful book about the potential for human progress when we work off facts rather than our inherent biases. - Former U.S. President Barack Obama\u003c\/b\u003e\u003cb\u003e\u003ci\u003e\u003cbr\u003e\u003cbr\u003eFactfulnes\u003c\/i\u003es: The stress-reducing habit of only carrying opinions for which you have strong supporting facts. \u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eWhen asked simple questions about global trends-\u003ci\u003ewhat percentage of the world's population live in poverty; why the world's population is increasing; how\u003c\/i\u003e\u003c\/p\u003e","brand":"Flatiron Books","offers":[{"title":"Default Title","offer_id":48866463416663,"sku":"9781250123824","price":14.83,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781250123824.jpg?v=1722278774"},{"product_id":"research-methods-9781319382889","title":"Research Methods","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e","brand":"Macmillan Learning","offers":[{"title":"Default Title","offer_id":48866557755735,"sku":"9781319382889","price":63.64,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781319382889.jpg?v=1722279210"},{"product_id":"jamovi-for-psychologists-9781352011852","title":"Jamovi for Psychologists","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis textbook offers a refreshingly clear and digestible introduction to statistical analysis for psychology using the user-friendly jamovi software. The authors provide a concise, practical guide that takes students from the early stages of research design, with a jargon-free explanation of terminology, and walks them through key analyses such as the t-test, ANOVA, correlation, chi-square, and linear regression. The book features written interpretations to help learners identify relevant statistics along the way. With fascinating examples from psychological research, as well as screenshots and activities from jamovi, this text is sure to encourage even the most reluctant statistics student. The comprehensive companion website provides an extra helping hand, with practice datasets and a full suite of tutorial videos to help consolidate understanding. This is essential reading for psychology students using jamovi for their courses in Research Methods and Statistics or Data Analysis.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eJamovi for Psychologists offers a complete overview of topics in introductory statistics in an easy, conversational tone. But what makes it especially valuable is its practical emphasis—how to use very accessible software, fully understand its output, and appropriately report the results. It’s the kind of book students will actually find useful! * Andy Luttrell, Ball State University, USA *\u003cbr\u003eJamovi for Psychologists is an excellent resource for those learning to use jamovi as part of a statistics course or for those seeking to better understand the wide range of statistical tests available in the software. The straightforward step-by-step instructions and conceptual framing of statistical analyses will help faculty make statistics and jamovi more accessible to students. * Andrew Mienaltowski, Western Kentucky University, USA *\u003cbr\u003eJamovi for Psychologists, is a friendly introduction to the accessible statistics package jamovi. It is well-pitched for psychologists beginning to learn about statistics and includes concise but thorough guides throughout. * Piers Fleming, University of East Anglia, UK *\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Research Design 2. Data Preparation, Common Assumptions, and Descriptive Statistics 3. P-Values, Effect Sizes and 95% confidence intervals 4. Statistical Power 5. Reliability and Validity 6. Correlations 7. Chi Square 8. Independent T-Tests 9. Paired T-Tests 10. Comparing multiple means for Between-subjects designs (One-way ANOVA \u0026amp; Kruskal-Wallis) 11. Comparing multiple means for Repeated measures designs (one-way ANOVA and Friedman’s ANOVA) 12. Factorial ANOVA (assessing effects of multiple independent variables) 13. Simple, Multiple, and Hierarchical Linear Regression.","brand":"Bloomsbury Publishing PLC","offers":[{"title":"Default Title","offer_id":48866604384599,"sku":"9781352011852","price":28.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781352011852.jpg?v=1722279421"},{"product_id":"ethical-choices-in-research-9781433821684","title":"Ethical Choices in Research","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis book provides a comprehensive overview of ethical concerns researchers must face after collecting the study data. It teaches readers how to avoid issues related to data management and analysis, the publication process, and the researcher's obligations after publication.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eAcknowledgments\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eIntroduction\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eI. Planning Research to Avoid Later Ethical Problems\u003c\/b\u003e\u003c\/p\u003e\u003col\u003e\n\u003cli\u003eChoosing a Topic and Method\u003c\/li\u003e\n\u003cli\u003eAuthorship: Responsibility and Credit for Research\u003c\/li\u003e\n\u003c\/ol\u003e\u003cp\u003e\u003cb\u003eII. Data Management\u003c\/b\u003e\u003c\/p\u003e\u003col\u003e\n\u003cli\u003eData Collection and Handling of Data Sets\u003c\/li\u003e\n\u003cli\u003eMisconduct With Data\u003c\/li\u003e\n\u003cli\u003eData Analysis\u003c\/li\u003e\n\u003c\/ol\u003e\u003cp\u003e\u003cb\u003eIII. Report Preparation\u003c\/b\u003e\u003c\/p\u003e\u003col\u003e\n\u003cli\u003eContents of a Research Report\u003c\/li\u003e\n\u003cli\u003ePlagiarism\u003c\/li\u003e\n\u003c\/ol\u003e\u003cp\u003e\u003cb\u003eIV. The Publication Process\u003c\/b\u003e\u003c\/p\u003e\u003col\u003e\n\u003cli\u003eBefore Submitting the Manuscript for Publication\u003c\/li\u003e\n\u003cli\u003eThe Manuscript Review Process\u003c\/li\u003e\n\u003cli\u003eAfter the Manuscript is Accepted and the Article is Published\u003c\/li\u003e\n\u003c\/ol\u003e\u003cp\u003e\u003cb\u003eEpilogue\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eAppendix A: Selected APA Principles and Codes of Conduct\u003c\/li\u003e\n\u003cli\u003eAppendix B: Ethical Guidelines for Statistical Practice\u003c\/li\u003e\n\u003cli\u003eAppendix C: American Psychological Association Journal Article Reporting Standards\u003c\/li\u003e\n\u003cli\u003eAppendix D: The Committee on Publication Ethics Case Taxonomy\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cb\u003eReferences\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eIndex\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003c\/p\u003e","brand":"American Psychological Association","offers":[{"title":"Default Title","offer_id":48867052159319,"sku":"9781433821684","price":35.1,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781433821684.jpg?v=1722281439"},{"product_id":"discovering-statistics-using-r-9781446200469","title":"Discovering Statistics Using R","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eKeeping the uniquely humorous and self-deprecating style that has made students across the world fall in love with Andy Field's books, \u003cstrong\u003eDiscovering Statistics Using R\u003c\/strong\u003e takes students on a journey of statistical discovery using R, a free, flexible and dynamically changing software tool for data analysis that is becoming increasingly popular across the social and behavioural sciences throughout the world.\u003c\/p\u003e \u003cp\u003eThe journey begins by explaining basic statistical and research concepts before a guided tour of the R software environment. Next you discover the importance of exploring and graphing data, before moving onto statistical tests that are the foundations of the rest of the book (for example correlation and regression). You will then stride confidently into intermediate level analyses such as ANOVA, before ending your journey with advanced techniques such as MANOVA and multilevel models. Although there is enough theory to help you gain the necessary conceptual unde\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eIn statistics, R is the way of the future. The big boys and girls have known this for some time: There are now millions of R users in academia and industry. R is free (as in no cost) and free (as in speech). Andy, Jeremy, and Zoe′s book now makes R accessible to the little boys and girls like me and my students. Soon all classes in statistics will be taught in R. \u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eI have been teaching R to psychologists for several years and so I have been waiting for this book for some time. The book is excellent, and it is now the course text for all my statistics classes. I′m pretty sure the book provides all you need to go from statistical novice to working researcher.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e\u003cb\u003eTake, for example, the chapter on t-tests. The chapter explains how to compare the means of two groups from scratch. It explains the logic behind the tests, it explains how to do the tests in R with a complete worked example, which papers to read in the unlikely event you do need to go further, and it explains what you need to write in your practical report or paper. But it also goes further, and explains how t-tests and regression are related---and are really the same thing---as part of the general linear model. So this book offers not just the step-by-step guidance needed to complete a particular test, but it also offers the chance to reach the zen state of total statistical understanding.\u003c\/b\u003e\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e\u003cb\u003e\u003cb\u003e\u003ci\u003e\u003cbr\u003e\u003cb\u003eProf. Neil Stewart\u003cbr\u003eWarwick University\u003c\/b\u003e \u003c\/i\u003e\u003c\/b\u003e\u003c\/b\u003e\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e\u003cb\u003e\u003cb\u003e\u003ci\u003eField′s Discovering Statistics is popular with students for making a sometimes deemed inaccessible topic accessible, in a fun way. In Discovering Statistics Using R, the authors have managed to do this using a statistics package that is known to be powerful, but sometimes deemed just as inaccessible to the uninitiated, all the while staying true to Field′s off-kilter approach. \u003c\/i\u003e\u003c\/b\u003e\u003c\/b\u003e\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e\u003cb\u003e\u003cb\u003e\u003ci\u003e\u003cb\u003e\u003ci\u003e\u003cbr\u003e\u003cb\u003eDr Marcel van Egmond\u003cbr\u003e University of Amsterdam\u003c\/b\u003e \u003c\/i\u003e\u003c\/b\u003e\u003c\/i\u003e\u003c\/b\u003e\u003c\/b\u003e\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e\u003cb\u003e\u003cb\u003e\u003ci\u003e\u003cb\u003e\u003ci\u003eProbably the wittiest and most amusing of the lot (no, really), this book takes yet another approach: it is 958 pages of R-based stats wisdom (plus online accoutrements)... A thoroughly engaging, expansive, thoughtful and complete guide to modern statistics. Self-deprecating stories lighten the tone, and the undergrad-orientated ′stupid faces′ (Brian Haemorrhage, Jane Superbrain, Oliver Twisted, etc.) soon stop feeling like a gimmick, and help to break up the text with useful snippets of stats wisdom. It is very mch a student textbook but it is brilliant... Field et al. is the complete package.\u003cb\u003e\u003ci\u003e\u003cbr\u003e\u003cb\u003eDavid M. Shuker\u003cbr\u003e AnimJournal of Animal Behaviour\u003c\/b\u003e \u003c\/i\u003e\u003c\/b\u003e\u003c\/i\u003e\u003c\/b\u003e\u003c\/i\u003e\u003c\/b\u003e\u003c\/b\u003e\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\"\u003cem\u003eThis work should be in the library of every institution where statistics is taught. It contains much more content than what is required for a beginning or advanced undergraduate course, but instructors for such courses would do well to consider this book; it is priced comparably to books which contain only basic material, and students who are fascinated by the subject may find the additional material a real bonus. The book would also be very good for self-study. Overall, an excellent resource\u003c\/em\u003e.\" -- R. Bharath * Choice *\u003cbr\u003eThe main strength of this book is that it presents a lot of information in an accessible, engaging and irreverent way. The style is informal with interesting excursions into the history of statistics and psychology. There is reference to research papers which illustrate the methods explained, and are also very entertaining. The authors manage to pull off the Herculean task of teaching statistics through the medium of R... All in all, an invaluable resource. -- Paul Webb\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eWhy Is My Evil Lecturer Forcing Me to Learn Statistics? What will this chapter tell me? What the hell am I doing here? I don′t belong here Initial observation: finding something that needs explaining Generating theories and testing them Data collection 1: what to measure Data collection 2: how to measure Analysing data What have I discovered about statistics? Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Everything You Ever Wanted to Know About Statistics (Well, Sort of) What will this chapter tell me? Building statistical models Populations and samples Simple statistical models Going beyond the data Using statistical models to test research questions What have I discovered about statistics? Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research The R Environment What will this chapter tell me? Before you start Getting started Using R Getting data into R Entering data with R Commander Using other software to enter and edit data Saving Data Manipulating Data What have I discovered about statistics? R Packages Used in This Chapter R Functions Used in This Chapter Key terms that I′ve discovered Smart Alex′s Tasks Further reading Exploring Data with Graphs What will this chapter tell me? The art of presenting data Packages used in this chapter Introducing ggplot2 Graphing relationships: the scatterplot Histograms: a good way to spot obvious problems Boxplots (box-whisker diagrams) Density plots Graphing means Themes and options What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Exploring Assumptions What will this chapter tell me? What are assumptions? Assumptions of parametric data Packages used in this chapter The assumption of normality Testing whether a distribution is normal Testing for homogeneity of variance Correcting problems in the data What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Correlation What will this chapter tell me? Looking at relationships How do we measure relationships? Data entry for correlation analysis Bivariate correlation Partial correlation Comparing correlations Calculating the effect size How to report correlation coefficents What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Regression What will this chapter tell me? An Introduction to regression Packages used in this chapter General procedure for regression in R Interpreting a simple regression Multiple regression: the basics How accurate is my regression model? How to do multiple regression using R Commander and R Testing the accuracy of your regression model Robust regression: bootstrapping How to report multiple regression Categorical predictors and multiple regression What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Logistic Regression What will this chapter tell me? Background to logistic regression What are the principles behind logistic regression? Assumptions and things that can go wrong Packages used in this chapter Binary logistic regression: an example that will make you feel eel\t How to report logistic regression Testing assumptions: another example Predicting several categories: multinomial logistic regression What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Comparing Two Means What will this chapter tell me? Packages used in this chapter Looking at differences The t-test The independent t-test The dependent t-test Between groups or repeated measures? What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Comparing Several Means: ANOVA (GLM 1) What will this chapter tell me? The theory behind ANOVA Assumptions of ANOVA Planned contrasts Post hoc procedures One-way ANOVA using R Calculating the effect size Reporting results from one-way independent ANOVA What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Analysis of Covariance, ANCOVA (GLM 2) What will this chapter tell me? What is ANCOVA? Assumptions and issues in ANCOVA ANCOVA using R Robust ANCOVA Calculating the effect size Reporting results What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Factorial ANOVA (GLM 3) What will this chapter tell me? Theory of factorial ANOVA (independant design) Factorial ANOVA as regression Two-Way ANOVA: Behind the scenes Factorial ANOVA using R Interpreting interaction graphs Robust factorial ANOVA Calculating effect sizes Reporting the results of two-way ANOVA What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Repeated-Measures Designs (GLM 4) What will this chapter tell me? Introduction to repeated-measures designs Theory of one-way repeated-measures ANOVA One-way repeated measures designs using R Effect sizes for repeated measures designs Reporting one-way repeated measures designs Factorisal repeated measures designs Effect Sizes for factorial repeated measures designs Reporting the results from factorial repeated measures designs What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Mixed Designs (GLM 5) What will this chapter tell me? Mixed designs What do men and women look for in a partner? Entering and exploring your data Mixed ANOVA Mixed designs as a GLM Calculating effect sizes Reporting the results of mixed ANOVA Robust analysis for mixed designs What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Non-Parametric Tests What will this chapter tell me? When to use non-parametric tests Packages used in this chapter Comparing two independent conditions: the Wilcoxon rank-sum test Comparing two related conditions: the Wilcoxon signed-rank test Differences between several independent groups: the Kruskal-Wallis test Differences between several related groups: Friedman′s ANOVA What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Multivariate Analysis of Variance (MANOVA) What will this chapter tell me? When to use MANOVA Introduction: similarities and differences to ANOVA Theory of MANOVA Practical issues when conducting MANOVA MANOVA using R Robust MANOVA Reporting results from MANOVA Following up MANOVA with discriminant analysis Reporting results from discriminant analysis Some final remarks What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Exploratory Factor Analysis What will this chapter tell me? When to use factor analysis Factors Research example Running the analysis with R Commander Running the analysis with R Factor scores How to report factor analysis Reliability analysis Reporting reliability analysis What have I discovered about statistics? R Packages Used in This Chapter R Functions Used in This Chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Categorical Data What will this chapter tell me? Packages used in this chapter Analysing categorical data Theory of Analysing Categorical Data Assumptions of the chi-square test Doing the chi-square test using R Several categorical variables: loglinear analysis Assumptions in loglinear analysis Loglinear analysis using R Following up loglinear analysis Effect sizes in loglinear analysis Reporting the results of loglinear analysis What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Multilevel Linear Models What will this chapter tell me? Hierarchical data Theory of multilevel linear models The multilevel model Some practical issues Multilevel modelling on R Growth models How to report a multilevel model What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Epilogue: Life After Discovering Statistics Troubleshooting R Glossary Appendix Table of the standard normal distribution Critical Values of the t-Distribution Critical Values of the F-Distribution Critical Values of the chi-square Distribution References","brand":"Sage Publications Ltd","offers":[{"title":"Default Title","offer_id":48867088073047,"sku":"9781446200469","price":91.91,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781446200469.jpg?v=1722281622"},{"product_id":"the-first-interview-fourth-edition-9781462529834","title":"The First Interview Fourth Edition","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis trusted practitioner resource and course text is grounded in James Morrison's experience with more than 15,000 mental health patients. Morrison provides a complete framework for interviewing adult patients about their current symptoms, personal and family history, mental status, behavioral risks, and other relevant issues. He offers guidance for selecting the best strategy for any clinical situation, building rapport, overcoming common challenges, and communicating findings. Appendices include a detailed semistructured interview and a self-assessment tool for interviewers, both with permission to photocopy. Purchasers also get access to a Web page where they can download and print the reproducible materials in a convenient 8 1\/2 x 11 size.\u003cbr\u003e\u003cbr\u003e New to This Edition\u003cbr\u003e *Revised throughout for DSM-5.\u003cbr\u003e *Updated resources and suggested readings.\u003cbr\u003e\u003cbr\u003e See also Morrison's \u003ci\u003eDSM-5-TR Made Easy,\u003c\/i\u003e which explains DSM diagnoses in clear language, illustrated with vivid case \u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\"An absolute 'must read' for any clinician at any level of experience. This clearly written, highly practical, step-by-step guide to conducting the first interview is filled with wisdom. Morrison is sensitive to and respectful of the patient while recognizing the clinician's need to get as much information as possible. The Appendices are invaluable. I cannot think of another book that comes close to this masterpiece. Thank you, Dr. Morrison, for providing this essential guide.\"--Robert L. Leahy, PhD, Director, American Institute for Cognitive Therapy; Department of Psychiatry, Weill Cornell Medical College\u003cbr\u003e\u003cbr\u003e \"With pressure to improve quality, availability, and the economic value of mental health care, an effective, efficient start to the therapeutic process is more important than ever. \u003ci\u003eThe First Interview, Fourth Edition\u003c\/i\u003e, addresses the reality that whatever the therapist’s orientation, a successful therapeutic alliance depends on the first encounter. This gives the book universal appeal and will benefit novice and seasoned therapists alike. Science and personal experience are woven into a seamless work that reads like common sense but is based on a substantial body of evidence. In an easy-to-read, conversational tone, Morrison conveys empathic interviewing techniques that can win patients' trust and allow them to share the most intimate life details.\"--Gary J. Kennedy, MD, Department of Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine and Montefiore Medical Center\u003cbr\u003e\u003cbr\u003e \"As a clinician educator who teaches interviewing, I have been searching for accessible reading material that incorporates DSM-5 and is appropriate for medical students, psychiatry residents, and multidisciplinary mental health care providers. My search is over! This book integrates DSM-5 and the latest research on interviewing without compromising the art of clinical care. Rather than rigidly applying diagnostic categories or theoretical frameworks, Morrison helps clinicians become attuned to the nuances of the interview in a way that will make patients feel heard and understood. I know that my patients and my trainees' future patients will receive more thorough, compassionate care as a result of the abundant clinical insights in this book.\"--Alana Iglewicz, MD, Department of Psychiatry, University of California, San Diego\u003cbr\u003e\u003cbr\u003e \"Morrison has written one of the most comprehensive texts on the principles, techniques, and practice of initial interviewing. This book is indispensable for students first learning to work with clients, and is a valuable reference for experienced practitioners wishing to enhance their interviewing skills. Morrison presents sound and practical methods for establishing a warm and empathic therapeutic relationship, which in turn will help students and practitioners productively work with sensitive material.\"--Roy Jerome, PhD, Department of Psychiatry, Icahn School of Medicine at Mount Sinai -\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eIntroduction: What Is Interviewing?\u003cbr\u003e 1. Openings and Introductions\u003cbr\u003e 2. Chief Complaint and Free Speech\u003cbr\u003e 3. Developing Rapport\u003cbr\u003e 4. Managing the Early Patient Interview\u003cbr\u003e 5. History of the Present Illness\u003cbr\u003e 6. Getting the Facts about the Present Illness\u003cbr\u003e 7. Interviewing about Feelings\u003cbr\u003e 8. Personal and Social History\u003cbr\u003e 9. Sensitive Subjects\u003cbr\u003e 10. Control of the Later Interview\u003cbr\u003e 11. Mental Status Exam I: Behavioral Aspects\u003cbr\u003e 12. Mental Status Exam II: Cognitive Aspects\u003cbr\u003e 13. Signs and Symptoms in Areas of Clinical Interest\u003cbr\u003e 14. Closure\u003cbr\u003e 15. Interviewing Informants\u003cbr\u003e 16. Meeting Resistance\u003cbr\u003e 17. Special or Challenging Patient Behaviors and Issues\u003cbr\u003e 18. Diagnosis and Recommendations\u003cbr\u003e 19. Sharing Your Findings with the Patient\u003cbr\u003e 20. Communicating Your Findings to Others\u003cbr\u003e 21. Troubleshooting Your Interview\u003cbr\u003e Appendix A. Summary of the Initial Interview\u003cbr\u003e Appendix B. Descriptions of Selected Disorders\u003cbr\u003e Appendix C. Sample Interview, Written Report, and Formulation\u003cbr\u003e Appendix D. A Semistructured Interview\u003cbr\u003e Appendix E. Assessing Your Interview\u003cbr\u003e Appendix F. Bibliography and Recommended Reading\u003c\/p\u003e","brand":"Guilford Publications","offers":[{"title":"Default Title","offer_id":48867160588631,"sku":"9781462529834","price":38.4,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781462529834.jpg?v=1722281966"},{"product_id":"action-research-in-education-second-edition-9781462541614","title":"Action Research in Education Second Edition","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eAcclaimed as a text and professional development tool, this user-friendly resource has now been revised and updated, and offers expanded coverage of collaborative action research (CAR) and participatory action research (PAR). \u003c\/b\u003ePreservice and inservice educators get crucial step-by-step guidance for conducting classroom- and school-based studies to improve their instructional practices. Organized to mirror the full cycle of action research, the book provides balanced coverage of qualitative, quantitative, and mixed methods approaches. Vivid vignettes and examples illustrate research approaches for a range of teaching and learning situations, school subjects, and age groups (PreK-12). Readers learn how research approaches are driven by the research question, as well as how to develop data collection strategies; design and\/or evaluate assessment tools; interpret, analyze, report, and implement study results; and design a new cycle of research that builds on the previous one.\u003cbr\u003e\u0026lt;\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\"A solid overview of the essential components of action research, presented in a scholarly yet reader-friendly way. This text is excellent for our Master of Literacy program. It clearly depicts the six cyclical steps of action research, showing how research can continuously build our understanding of what works and what needs to be changed or adjusted. Unlike other action research texts that align only with qualitative research, the book discusses fundamentals of both qualitative and quantitative methods. The authors' emphasis on using the research questions to determine the research method(s) acknowledges the complexity of practitioner-based research. Practical and empowering, this book describes not only how to identify problems in educational settings, but also how to seek solutions through the cycle of research.\"--Cheryl A. Kreutter, PhD, School of Education, State University of New York at Geneseo\u003cbr\u003e\u003cbr\u003e \"I used this book for several years as the primary text for an online graduate course, Action Research, which serves as a capstone for master's of education students. From the opening pages, the authors set the stage for understanding action research as an important approach to making classroom decisions based on systematically collected data. The pedagogical features such as vignettes and exercises are a strength of the book. There is a clear attempt to access textual, visual, and hands-on channels of learning. Self-quizzes allow for guided review.\"--John H. Yoder, PhD, Core Faculty in Education (retired), Concordia University–Portland\u003cbr\u003e\u003cbr\u003e \"I have reviewed a number of action research texts, and, time and again, I return to Efron and Ravid’s book. It is simply the best available. With excellent content and depth, the text guides educators to conduct cycles of inquiry in their schools. It includes rich examples, tables, and figures to illustrate key concepts, as well as checklists to support action researchers.\"--Kimberly Kappler Hewitt, PhD, Division of Research, Discovery, and Innovation, School of Education, University of North Carolina at Greensboro\u003cbr\u003e\u003cbr\u003e \"This is an excellent introductory text for the novice action researcher. The authors cover both qualitative and quantitative methods and offer advice on using already existing assessment data in action research studies. The text is practical and applicable to a wide variety of educational contexts.\"--Linnea Rademaker, PhD, School of Educational Leadership, Abilene Christian University\u003cbr\u003e\u003cbr\u003e \"The book contains everything that I need in terms of content--it is a great introduction to action research. The writing style is its biggest strength. Many students are nervous about beginning to do research, and this book helps by presenting a step-by-step approach.\"--Eugene Geist, PhD, Department of Teacher Education, Ohio University-If you are teaching a research class to novice researchers, especially those in education, I would highly recommend this book for its practical approach, and the emphasis on writing and the use of assessment data. Teachers are often overwhelmed with available data in their classrooms and schools\/m-\/understanding as well as the data. This book provides much needed practical instructions for both issues. (on the first edition)--Inquiry in Education, 7\/1\/2013\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e1. Introduction\u003cbr\u003e 2. Choosing and Learning about Your Research Topic\u003cbr\u003e 3. Approaches to Action Research\u003cbr\u003e 4. Developing a Plan of Action\u003cbr\u003e 5. Data Collection Tools\u003cbr\u003e 6. Using Assessment Data in Action Research\u003cbr\u003e 7. Data Analysis and Interpretation\u003cbr\u003e 8. Writing, Implementing, and Sharing the Research Findings\u003cbr\u003e References\u003cbr\u003e Author Index\u003cbr\u003e Subject Index\u003c\/p\u003e","brand":"Guilford Publications","offers":[{"title":"Default Title","offer_id":48867161243991,"sku":"9781462541614","price":43.69,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781462541614.jpg?v=1722281970"},{"product_id":"research-design-second-edition-9781462548972","title":"Research Design Second Edition","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eWith a new chapter on the literature review, this accessible step-by-step guide to using the five major approaches to research design is now in a thoroughly revised second edition. \u003c\/b\u003eThe prior edition's user-friendly features are augmented by a new companion website with worksheets keyed to each chapter. For each approach, the text presents a template for a research proposal and explains how to conceptualize and fill in every section. Interdisciplinary research examples draw on current events and social justice issues. Unique coverage includes hot topics--replication studies, data sharing, and preregistration; tailoring proposals to different audiences; and more. Terminology commonly used in each approach is identified and key moments of ethical decision making are flagged. The book includes a general introduction to social research, an in-depth discussion of ethics, and a chapter on how to begin a research study.\u003cbr\u003e\u003cbr\u003e New to This Edition\u003cbr\u003e *New or expanded discussions of \u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\"Leavy once again brings together leading-edge concepts in this articulate, highly readable, and comprehensive second edition. In a vibrant and engaging style, the book unpacks and explains the five foundational research approaches and offers expert tips and practical resources. The second edition sets a new standard for integration of social justice, cultural, and ethical issues in research design, particularly within community-based participatory approaches. This is a 'must-have' book that undoubtedly will be required reading for students and researchers in psychology, social sciences, and education.\"--Cathy A. Malchiodi, PhD, Trauma-Informed Practices and Expressive Arts Therapy Institute, Louisville, Kentucky\u003cbr\u003e\u003cbr\u003e \"Most of our doctoral students want to continue in their professional roles or organizations and do not plan to pursue research-intensive positions, so I need a text that will support them in conducting a solid study in an applied setting. Because our students come from diverse fields (educational leadership, hospital administration, and supply-chain management, for example), a text that offers a wide lens on research design is wonderful. I don't know of any other methods texts that are so straightforward and at the same time so inclusive regarding design approaches.\"--Kristina N. LaVenia, PhD, School of Educational Foundations, Leadership and Policy, Bowling Green State University\u003cbr\u003e\u003cbr\u003e \"The second edition builds on the strengths of the first as it continues to offer a wide range of information. The infographics illustrate key concepts, relationships, and the order of operations in a user-friendly manner. The checklists in each chapter are a great resource that ensure all parts of the process are considered and completed. Our students will benefit from the literature review chapter, which emphasizes the 'why' along with the 'how.' Leavy's emphasis on process is key to understanding and selecting appropriate methodologies as students prepare their proposals and conduct their own scholarship.\"--Pamela K. Brown, EdD, Department of Kinesiology, University of North Carolina at Greensboro\u003cbr\u003e\u003cbr\u003e \"The second edition of \u003ci\u003eResearch Design\u003c\/i\u003e provides elegant, accessible writing and pragmatic content for students in the social and behavioral sciences. Unlike other introductory books on general research design, Leavy’s text maintains a strong focus on developing the written proposal, with its constituent elements such as targeted research questions, ethical considerations with participants, and appropriate uses of methodological terms. The second edition includes expanded coverage of the literature review, now in its own chapter, and discusses contemporary issues in arts-based and community-based projects. Leavy is an internationally renowned author who offers undergraduates and graduate students expert guidance on the templates necessary for initiating their studies.\"--Johnny Saldaña, MFA, Herberger Institute for Design and the Arts (Emeritus), Arizona State University\u003cbr\u003e\u003cbr\u003e \"Leavy has a real knack for making complex ideas and methods very easy to understand, which is especially helpful for teaching novice research students. Readers learn the nuts and bolts of research design, which includes a grounding in values, philosophy, and ethics that influence decision making. Readers can use the chapters to inform the development of a research design and proposal.\"--Tina Maschi, PhD, LCSW, ACSW, Graduate School of Social Service, Fordham University\u003cbr\u003e\u003cbr\u003e \"In her own measured, methodologically ecumenical way, Leavy manages both to undo some of the stock presumptions of social science research and to radically widen the boundaries of legitimate modes of inquiry. She builds important bridges between quantitative and qualitative approaches, theory and ethical praxis, and, not least, science and art. The result is a clear, thoughtful, and extremely valuable exploration of not only the 'nuts and bolts' of research design but also the purposes, philosophical premises, and concrete methodological practices that characterize social scientific inquiry in its many forms.\"--Mark P. Freeman, PhD, Distinguished Professor of Ethics and Society, Department of Psychology, College of the Holy Cross-\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eI. The Nuts and Bolts of Research Design\u003cbr\u003e 1. Introduction to Social Research\u003cbr\u003e 2. Ethics in Social Research\u003cbr\u003e 3. The Literature Review\u003cbr\u003e 4. Getting Started Designing a Project\u003cbr\u003e II. Five Approaches to Research Design\u003cbr\u003e 5. Quantitative Research Design\u003cbr\u003e 6. Qualitative Research Design\u003cbr\u003e 7. Mixed Methods Research Design\u003cbr\u003e 8. Arts-Based Research Design\u003cbr\u003e 9. Community-Based Participatory Research Design\u003cbr\u003e Glossary\u003cbr\u003e References\u003cbr\u003e Author Index\u003cbr\u003e Subject Index\u003c\/p\u003e","brand":"Guilford Publications","offers":[{"title":"Default Title","offer_id":48867161899351,"sku":"9781462548972","price":39.89,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781462548972.jpg?v=1722281973"},{"product_id":"elementary-statistics-for-geographers-9781572304840","title":"Elementary Statistics for Geographers","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eWidely adopted, this uniquely comprehensive text introduces the techniques and concepts of statistics in human and physical geography. Unlike other texts that gloss over the conceptual foundations and focus solely on method, the book explains not only how to apply quantitative tools but also why and how they work. Students gain important skills for utilizing both conventional and spatial statistics in their own research, as well as for critically evaluating the work of others. Most chapters are self-contained in order to provide maximum flexibility in course design. Requiring no math beyond algebra, the book is well suited for undergraduate and beginning graduate-level courses. Helpful features include chapter summaries, suggestions for further reading, and practice problems at the end of each chapter.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eNew to This Edition\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e*Restructured and updated to reflect current developments in the field. \u003c\/p\u003e\u003cp\u003e*Five entirely new chapters cover graphical methods, spatial relationships, analysis of variance, extending regression analysis, and spatial analysis. \u003c\/p\u003e\u003cp\u003e*Features even more worked examples, many with accompanying graphics.\u003c\/p\u003e\u003cp\u003e*The companion website offers datasets and solutions to selected end-of-chapter exercises. \u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eFor more than 15 years, I've used prior editions of this text to teach statistics, because it explains difficult but crucial concepts--such as the central limit theorem--clearly and in depth. I also like the geographical examples and the inclusion of descriptive spatial and temporal statistics, such as moving averages and location quotients. Now, with David Rigby on board and a full-fledged treatment of multiple regression, spatial autocorrelation, and spatial regression, the best book just got even better.--Michael Kuby, School of Geographical Sciences, Arizona State University \u003cbr\u003e \u003cbr\u003e A comprehensive introduction to statistical techniques and their appropriate use and application in geographic research. The book is unique in its treatment of both spatial and temporal data-analysis issues, and its methods are grounded in interesting research settings. Statistical concepts are presented in a clear and effective manner, with attention given to the theories and assumptions underpinning the techniques. Instructors will appreciate the structured exercises appearing at the end of each chapter, many of which make use of downloadable datasets.This appealing book is especially well suited as a text for senior undergraduate and beginning graduate geography courses in statistical analysis.--Mark W. Horner, Department of Geography, Florida State University\u003c\/p\u003e\u003cp\u003eIt is hard to imagine a more comprehensive introductory treatment of geographic statistics. \u003ci\u003eElementary Statistics for Geographers \u003c\/i\u003ehas an excellent mix of quantitative material, problem-solving techniques, and examples. The examples, both numerical and graphical, clearly demonstrate the utility and limitations of the methods presented. Early chapters on the nature of geographic data, exploratory data analysis, and bivariate statistical relationships provide a strong foundation for the rigorous chapters that follow. The range and depth of the third edition are outstanding, with new sections on ANOVA, spatial statistics, and nonparametric statistics. This book will be equally valuable as a text for advanced undergraduates and beginning graduate students and as a general reference.--Scott M. Robeson, Chair, Department of Geography, Indiana University \u003c\/p\u003e\u003cp\u003e-\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eI. Introduction\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e1. Statistics and Geography\u003c\/p\u003e\u003cp\u003e\u003cb\u003eII. Descriptive Statistics\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e2. Displaying and Interpreting Data\u003c\/p\u003e\u003cp\u003e3. Describing Data with Statistics\u003c\/p\u003e\u003cp\u003e4. Statistical Relationships\u003c\/p\u003e\u003cp\u003e\u003cb\u003eIII. Inferential Statistics\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e5. Random Variables and Probability Distributions\u003c\/p\u003e\u003cp\u003e6. Sampling\u003c\/p\u003e\u003cp\u003e7. Point and Interval Estimation\u003c\/p\u003e\u003cp\u003e8. One-Sample Hypothesis Testing\u003c\/p\u003e\u003cp\u003e9. Two-Sample Hypothesis Testing\u003c\/p\u003e\u003cp\u003e10. Nonparametric Methods\u003c\/p\u003e\u003cp\u003e11. Analysis of Variance\u003c\/p\u003e\u003cp\u003e12. Inferential Aspects of Linear Regression\u003c\/p\u003e\u003cp\u003e13. Extending Regression Analysis\u003c\/p\u003e\u003cp\u003e\u003cb\u003eIV. Patterns in Space and Time\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e14. Spatial Patterns and Relationships\u003c\/p\u003e\u003cp\u003e15. Time Series Analysis\u003c\/p\u003e\u003cp\u003eAppendix: Statistical Tables\u003c\/p\u003e","brand":"Guilford Publications","offers":[{"title":"Default Title","offer_id":48867597975895,"sku":"9781572304840","price":99.75,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781572304840.jpg?v=1722284066"},{"product_id":"lsd-doorway-to-the-numinous-the-groundbreaking-psychedelic-research-into-realms-of-the-human-unconscious-9781594772825","title":"LSD: Doorway to the Numinous: The Groundbreaking","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eStanislav Grof’s first 17 years of research into nonordinary states of consciousness induced by LSD and other psychedelics led to a revolutionary understanding of the human psyche. His research was the impetus behind a vastly expanded cartography of the unconscious, including two new realms still unacknowledged by official academic circles--the perinatal domain, which holds memories of the various stages of birth, and the transpersonal domain, which mediates experiential identification with other species and mythic figures, visits to archetypal realms, access to past life memories, and union with the cosmic creative principle. The research presented in this book provides a map of the psyche that is essential for understanding such phenomena as shamanism and near death experiences as well as other nonordinary states of consciousness. This map has led to the development of important new therapies in psychiatry and psychology for treating mental conditions often seen as disease and therefore suppressed by medication. It also provides a new threshold to understanding and entering the numinous realm of spirit.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e“The most significant development in the recent history of depth psychology, and the most important advance in the field since Freud and Jung themselves, has been the work of Stanislav Grof.” * Richard Tarnas, Ph.D., author of The Passion of the Western Mind *\u003cbr\u003e“A breakthrough work.” * Jean Houston, Ph.D., coauthor of The Varieties of Psychedelic Experience *\u003cbr\u003e“Stanislav Grof is the undisputed world authority on LSD and the human psyche, and this book provides the best cartography of consciousness for understanding the profound impact of entheogens on the mind.” * Alex Grey, artist and author of Sacred Mirrors and Transfigurations *\u003cbr\u003e“Dr. Stanislav Grof's \u003ci\u003eLSD: Doorway to the Numinous\u003c\/i\u003e is an extraordinary alchemical text that overturns many commonly held beliefs about the nature of individual identity and consciousness. Based on his 2,500 clinical sessions using LSD as a therapeutic tool before the substance was interdicted, Grof's book explores the vast dimensions of inner experience that have been ignored and marginalized by the mainstream. He also provides a theoretical framework for understanding these amazing experiences that synthesizes Freudian and Jungian insights into the dark matter of the unconscious and the primal drives that secretly impel us to act. A must-read for all serious students of consciousness.” * Daniel Pinchbeck, author of 2012: The Return of Quetzalcoatl and Breaking Open the Head *\u003cbr\u003e“I know of no work that so well incorporates the findings of Freud, Jung, and Rank, adding fresh insights that the methods of these psychotherapists could never have achieved. It certainly goes beyond Freud. It brings new clarification to Jung. It throws new light on the topic of death and resurrection symbolism, as well as on religious imagery. I do not doubt that others working in this field will find Dr. Grof's discoveries a basis for a whole new strategy of research.” * Joseph Campbell, author of The Hero with a Thousand Faces, The Masks of God, and Myths to Live By *\u003cbr\u003e“Stanislav Grof ’s research is the most important contribution to personality theory in several decades.” * Abraham Maslow, Ph.D., psychologist, cofounder of Humanistic and Transpersonal Psychology, and autho *\u003cbr\u003e“An exceptionally clear and readable introduction to the evolving psychology of the spirit--transpersonal psychology--that is one of the most exciting developments of our times. Grof is far and away one of the leading scientists exploring this field.” * Charles Tart, Ph.D., psychologist and author of States of Consciousness, PSI: Scientific Studies of *\u003cbr\u003e“Dr. Grof's studies of the mystical experience in LSD therapy represent an extremely valuable scientific approach to consciousness research from which many people can benefit.” * Chogyam Trungpa Rinpoche, Tibetan lama and author of Born in Tibet, Spiritual Materialism, and Medit *\u003cbr\u003e“Grof has had far and away more experience in psychedelic research than anyone else and has come up with the most comprehensive and helpful framework for interpreting the data in this bewildering area.” * Huston Smith, Ph.D., author of The World’s Religions and Beyond the Post-Modern Mind *\u003cbr\u003e“Grof marshals an impressive array of data and speculation in support of the timely demand that Western science acknowledge consciousness and its many nonordinary states.” * Richard Alpert (Ram Dass), Ph.D., psychologist, spiritual teacher, and author of Be Here Now, Grist *\u003cbr\u003e“A fascinating journey through previously uncharted realms of the psyche guided by one of the world’s foremost consciousness researchers. A remarkable account of the extraordinary depths of the human psyche.” * Frances Vaughan, Ph.D., psychologist and author of Awakening Intuition and The Inward Arc *\u003cbr\u003e\" . . . Grof's engrossing state-of-the-science overview argues convincingly that continued LSD reserach will help patients, parents, policymakers, and even spiritual seekers.\" * Publishers Weekly, Feb 2009 *\u003cbr\u003e\"Dr. Grof's efforts should be lauded and highly commended in the scientific and medical community. His clinical research is courageous and luminous to anyone who is conscious of the body's metaphysiology and higher energy dynamics. This field of research is as important to the human animal as molecular scientific inquiry into the etiology of neoplasias.\" * Dr. Ron Shane, reviewer, April 2009 *\u003cbr\u003e\"Dr. Grof has helped to give us new ways of seeing the world . . . He has opened a link between the psyche and the spirit.\" * Nexus New Times Magazine, Sept\/Oct 2009 *\u003cbr\u003e\"For any serious student of psychedelics or psychology, this is an important read that should not be ignored. In terms of building a foundation for the future of the psychedelic movement and finding a place for psychedelics in society, \u003ci\u003eLSD:Doorway to the Numinous\u003c\/i\u003e is without question \u003ci\u003ethe \u003c\/i\u003etext. Authoritative, insightful, and self-aware.\" * Psychedelic Press, UK, Feb 2010 *\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cb\u003e \u003cbr\u003eAcknowledgments \u003c\/b\u003e \u003cbr\u003e\u003cb\u003e \u003cbr\u003ePreface \u003c\/b\u003e \u003cbr\u003e \u003cbr\u003e\u003cb\u003e \u003cbr\u003e1 General Introduction \u003c\/b\u003e \u003cbr\u003eThe LSD Controversy \u003cbr\u003eLSD and Its Effects in Human Beings \u003cbr\u003eEmpirical Basis for a New Theoretical Framework \u003cbr\u003eHeuristic Value of LSD Research \u003cbr\u003e \u003cbr\u003e\u003cb\u003e2 Abstract and Aesthetic Experiences in LSD Sessions \u003c\/b\u003e \u003cbr\u003e \u003cbr\u003e\u003cb\u003e3 Psychodynamic Experiences in LSD Sessions \u003c\/b\u003e \u003cbr\u003eCOEX Systems (Systems of Condensed Experience) \u003cbr\u003eOrigin and Dynamics of COEX Systems \u003cbr\u003eManifestation of COEX Systems in LSD Sessions \u003cbr\u003eDynamic Interaction between the COEX Systems and Environmental Stimuli \u003cbr\u003e \u003cbr\u003e\u003cb\u003e4 Perinatal Experiences in LSD Sessions \u003c\/b\u003e \u003cbr\u003ePerinatal Matrix I. Primal Union with the Mother \u003cbr\u003e(Intrauterine Experience before the Onset of Delivery) \u003cbr\u003e \u003cbr\u003ePerinatal Matrix II. Antagonism with the Mother \u003cbr\u003e(Contractions in a Closed Uterine System) \u003cbr\u003e \u003cbr\u003ePerinatal Matrix III. Synergism with the Mother \u003cbr\u003e(Propulsion through the Birth Canal) \u003cbr\u003e \u003cbr\u003ePerinatal Matrix IV. Separation from the Mother \u003cbr\u003e(Termination of the Symbiotic Union and Formation of a New Type of Relationship) \u003cbr\u003e \u003cbr\u003eSignificance of Basic Perinatal Matrices in LSD Psychotherapy \u003cbr\u003e \u003cbr\u003e\u003cb\u003e5 Transpersonal Experiences in LSD Sessions \u003c\/b\u003e \u003cbr\u003eExperiential Extension within the Framework of “Objective Reality” \u003cbr\u003e\u003cb\u003e \u003cbr\u003eTemporal Expansion of Consciousness \u003c\/b\u003e \u003cbr\u003e• Embryonal and Fetal Experiences \u003cbr\u003e• Ancestral Experiences \u003cbr\u003e• Collective and Racial Experiences \u003cbr\u003e• Phylogenetic (Evolutionary) Experiences \u003cbr\u003e• Past-Incarnation Experiences \u003cbr\u003e• Precognition, Clairvoyance, Clairaudience, and “Time Travels” \u003cbr\u003e\u003cb\u003e \u003cbr\u003eSpatial Expansion of Consciousness \u003c\/b\u003e \u003cbr\u003e• Ego Transcendence in Interpersonal Relationships and the Experience of Dual Unity \u003cbr\u003e• Identification with Other Persons \u003cbr\u003e• Group Identification and Group Consciousness \u003cbr\u003e• Animal Identification \u003cbr\u003e• Plant Identification \u003cbr\u003e• Oneness with Life and with All Creation \u003cbr\u003e• Consciousness of Inorganic Matter \u003cbr\u003e• Planetary Consciousness \u003cbr\u003e• Extraplanetary Consciousness \u003cbr\u003e• Out-of-Body Experiences, Traveling Clairvoyance and Clairaudience, “Space Travels,” and Telepathy \u003cbr\u003e\u003cb\u003e \u003cbr\u003eSpatial Constriction of Consciousness \u003c\/b\u003e \u003cbr\u003e• Organ, Tissue, and Cellular Consciousness \u003cbr\u003e \u003cbr\u003eExperiential Extension beyond the Framework of “Objective Reality” \u003cbr\u003e• Spiritistic and Mediumistic Experiences \u003cbr\u003e• Experiences of Encounters with Suprahuman Spiritual Entities \u003cbr\u003e• Experiences of Other Universes and Encounters with Their Inhabitants \u003cbr\u003e• Archetypal Experiences and Complex Mythological Sequences \u003cbr\u003e• Experiences of Encounters with Various Deities \u003cbr\u003e• Intuitive Understanding of Universal Symbols \u003cbr\u003e• Activation of the Chakras and Arousal of the Serpent Power (Kundalini) \u003cbr\u003e• Consciousness of the Universal Mind \u003cbr\u003e• The Supracosmic and Metacosmic Void \u003cbr\u003e \u003cbr\u003eSignificance of Transpersonal Experiences in LSD Psychotherapy \u003cbr\u003eTranspersonal Experiences and Contemporary Psychiatry \u003cbr\u003e \u003cbr\u003e\u003cb\u003e6 Multidimensional and Multilevel Nature of the LSD Experience \u003c\/b\u003e \u003cbr\u003eEnvironmental Stimuli and Elements of the Setting \u003cbr\u003ePersonality of the Therapist and the Therapeutic Situation \u003cbr\u003ePresent Life Situation \u003cbr\u003ePast Life History \u003cbr\u003eEarly Childhood and Infancy \u003cbr\u003eBiological Birth and the Perinatal Period \u003cbr\u003eEmbryonal and Fetal Existence \u003cbr\u003eTransindividual (Transpersonal and Transhuman) Sources \u003cbr\u003e\u003cbr\u003e\u003cb\u003eEpilogue\u003c\/b\u003e \u003cbr\u003eThe Psychedelic Research Renaissance--A Review of Recent Psychedelic Psychotherapy Research \u003cbr\u003e\u003ci\u003eby L. Jerome, Ph.D., Valerie Mojeiko, and Rick Doblin, Ph.D.\u003c\/i\u003e\u003cb\u003e \u003cbr\u003e\u003cbr\u003eNotes \u003c\/b\u003e \u003cbr\u003e\u003cb\u003e \u003cbr\u003eIndex \u003c\/b\u003e \u003cbr\u003e\u003cb\u003e \u003cbr\u003eAbout the Author\u003c\/b\u003e","brand":"Inner Traditions Bear and Company","offers":[{"title":"Default Title","offer_id":48867682550103,"sku":"9781594772825","price":15.19,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781594772825.jpg?v=1722284461"},{"product_id":"a-gentle-introduction-to-stata-revised-sixth-edition-9781597183673","title":"A Gentle Introduction to Stata, Revised Sixth","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eAlan C. Acock's \u003ci\u003eA Gentle Introduction to Stata, Revised Sixth Edition\u003c\/i\u003e is aimed at new Stata users who want to become proficient in Stata. After reading this introductory text, new users will be able to not only use Stata well but also learn new aspects of Stata.\u003c\/p\u003e\u003cp\u003eAcock assumes that the user is not familiar with any statistical software. This assumption of a blank slate is central to the structure and contents of the book. Acock starts with the basics; for example, the part of the book that deals with data management begins with a careful and detailed example of turning survey data on paper into a Stata-ready dataset. When explaining how to go about basic exploratory statistical procedures, Acock includes notes that will help the reader develop good work habits. This mixture of explaining good Stata habits and explaining good statistical habits continues throughout the book.\u003c\/p\u003e\u003cp\u003eAcock is quite careful to teach the reader all aspects of using Stata. He covers data management, good work habits (including the use of basic do-files), basic exploratory statistics (including graphical displays), and analyses using the standard array of basic statistical tools (correlation, linear and logistic regression, and parametric and nonparametric tests of location and dispersion). He also successfully introduces some more advanced topics such as multiple imputation and multilevel modeling in a very approachable manner. Acock teaches Stata commands by using the menus and dialog boxes while still stressing the value of Stata commands and do-files. In this way, he ensures that all types of users can build good work habits. Each chapter has exercises that the motivated reader can use to reinforce the material.\u003c\/p\u003e\u003cp\u003eThe tone of the book is friendly and conversational without ever being glib or condescending. Important asides and notes about terminology are set off in boxes, which makes the text easy to read without any convoluted twists or forward referencing. Rather than splitting topics by their Stata implementation, Acock arranges the topics as they would appear in a basic statistics textbook; graphics and postestimation are woven into the material naturally. Real datasets, such as the General Social Surveys from 2002, 2006, and 2016, are used throughout the book.\u003c\/p\u003e\u003cp\u003eThe focus of the book is especially helpful for those in the behavioral and social sciences because the presentation of basic statistical modeling is supplemented with discussions of effect sizes and standardized coefficients. Various selection criteria, such as semipartial correlations, are discussed for model selection. Acock also covers a variety of commands available for evaluating reliability and validity of measurements.\u003c\/p\u003e\u003cp\u003eThe revised sixth edition is fully up to date for Stata 17, including updated discussion and images of Stata's interface and modern command syntax. In addition, examples include new features such as the table command and collect suite for creating and exporting customized tables as well as the option for creating graphs with transparency.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eGetting started Entering data Preparing data for analysis Working with commands, do-files, and results Descriptive statistics and graphs for one variable Statistics and graphs for two categorical variables Tests for one or two means Bivariate correlation and regression Analysis of variance Multiple regression Logistic regression Measurement, reliability, and validity Structural equation and generalized structural equation modeling Working with missing values—multiple imputation An introduction to multilevel analysis Item response theory (IRT) What’s next? Glossary of acronyms Glossary of mathematical and statistical symbols References\u003c\/p\u003e","brand":"Stata Press","offers":[{"title":"Default Title","offer_id":48867694248279,"sku":"9781597183673","price":999.99,"currency_code":"GBP","in_stock":false}]},{"product_id":"developmental-evaluation-applying-complexity-concepts-to-enhance-innovation-and-use-9781606238721","title":"Developmental Evaluation: Applying Complexity","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eDevelopmental evaluation (DE) offers a powerful approach to monitoring and supporting social innovations by working in partnership with program decision makers. In this book, eminent authority Michael Quinn Patton shows how to conduct evaluations within a DE framework. Patton draws on insights about complex dynamic systems, uncertainty, nonlinearity, and emergence. He illustrates how DE can be used for a range of purposes: ongoing program development, adapting effective principles of practice to local contexts, generating innovations and taking them to scale, and facilitating rapid response in crisis situations. Students and practicing evaluators will appreciate the book's extensive case examples and stories, cartoons, clear writing style, \"closer look\" sidebars, and summary tables. Provided is essential guidance for making evaluations useful, practical, and credible in support of social change.\u003cbr\u003e\u003cbr\u003e See also Developmental Evaluation Exemplars, edited by Michael Quinn Patton, Kate McKegg, and Nan Wehipeihana, which presents 12 in-depth case studies.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eProust wrote that 'the real voyage of discovery consists not in seeking new landscapes but in having new eyes.' In this book, Patton brings new eyes to evaluation landscapes. He illustrates the distinct contribution that developmental evaluation can make in addressing the dynamic complexity that often challenges evaluation efforts. Evaluators will see themselves among the stories Patton shares. The concepts and ideas are accessible and the case examples provide a diverse array of teachable vignettes, making the book ideal for classroom use. This is a most enjoyable read that offers lots of new learning, even for an evaluation veteran!--Ann M. Doucette, PhD, Director, The Evaluators’ Institute, The George Washington University\u003cbr\u003e\u003cbr\u003eThere is a real hunger for this book among social innovators, funders, policymakers, and educators. The book is sure to become dog-eared as it is read, used, and reread to help evaluators conduct their work in a manner consistent with the complexity of the challenges they are addressing.--Brenda Zimmerman, PhD, Director, Health Industry Management Program, Schulich School of Business, York University, Canada\u003cbr\u003e\u003cbr\u003eIn true Michael Quinn Patton style, this book successfully extends both the theory and practice of evaluation in significant and timely ways. Solutions to the world’s most pressing social problems are neither predictable nor known; developmental evaluation is just what the field needs to evaluate the complex realities of today’s organizations and communities. This book is a 'must read' for anyone committed to understanding how, where, when, and for whom social innovations are achieving their goals.--Hallie Preskill, PhD, Executive Director, Strategic Learning and Evaluation Center, FSG Social Impact Advisors, Seattle, Washington Patton pulls back the curtain to reveal that there is no great Oz of evaluation. This book reminds us that when we are working in complex systems we are better off acknowledging how little we know from the outset--and then acting on continual feedback--rather than pretending we already have all the knowledge needed to succeed. Patton challenges evaluators to relentlessly adapt, react, change, and innovate to work toward the best outcomes.--John B. Bare, PhD, Vice President, The Arthur M. Blank Family Foundation, Atlanta, Georgia -Patton's goal for this book is to teach evaluators about development evaluation (DE), a groundbreaking, complexity-based evaluation approach that aims to help social innovators working on extremely difficult problems in complex, dynamic environments....Patton uses engaging stories, conceptual frameworks, side-by-side comparison tables, extended evaluation case studies, menus of evaluation questions and methods, and cartoons to define, explain, and illustrate this new approach to evaluation. Dense with information and layers of insight....For evaluators who encounter situations that do not lend themselves to either formative or summative evaluation or who are working with social innovators in both program development and evaluation roles, \u003ci\u003eDevelopmental Evaluation\u003c\/i\u003e is invaluable.--American Journal of Evaluation, 5\/1\/2013ƒƒDraws together sophisticated concepts and models from an extraordinary array of disciplines, such as ecology, business, sociology, and international development. It includes the work of thought leaders and practitioners from around the globe and is explicit about the need for more collaboration and input to continuously inform and develop this evaluation framework. Seasoned readers of Patton's earlier works will instantly recognize the classic Patton style, complete with rich narrative stories, wry wit, and clever cartoonstrappings purposefully used to not only engage the reader, but also bring about clearer understanding and meaning....This book is a must-read for any evaluator, as it will change the way you see the world around you and how you view and conduct your practice.--Canadian Journal of Program Evaluation, 5\/28\/2013ƒƒPatton is the originator of developmental evaluation, and his decades of experience in the broader context of utilization-focused evaluation...radiate throughout the text, providing a rich source for evaluators at all levels of expertisethe reader is in good hands....A rich text, brimming with Patton's years of experience and the wisdom of his esteemed colleagues....Patton writes with emotion and effectively meshes storytelling with fundamentals to deepen the reader's understanding of developmental evaluation. For newcomers to the field, experienced evaluators, and social innovators alike, this book can serve to instill excitement about program evaluation and a broadened sense of its usefulness for creating social change.--Journal of Community and Applied Social Psychology, 5\/1\/2013\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e1. Developmental Evaluation Defined and Positioned\u003cbr\u003e *The Distinction Emerges\u003cbr\u003e *Facing Complexity and Facing Reality: Or, Facing the Realities of Complexity\u003cbr\u003e *Developmental Evaluation and Complexity Theory\u003cbr\u003e *Developmental Evaluation and Single-Loop versus Double-Loop Learning\u003cbr\u003e *The Importance of Interpretive Frameworks\u003cbr\u003e *Developmental Evaluation as Utilization-Focused\u003cbr\u003e *Charting the Developmental Journey: Overview of the Book\u003cbr\u003e *Five Developmental Evaluation Purposes and Uses\u003cbr\u003e 2. Developmental Evaluation as a Distinct Purpose and Niche\u003cbr\u003e *Beyond Planning: Jumping into the Fire\u003cbr\u003e *Evaluation Questions under These Different Engagement Scenarios\u003cbr\u003e *Vision Encounters Reality: The Territory of Developmental Evaluation\u003cbr\u003e *Systems Issues: Boundary Management as a Developmental Evaluation Focus\u003cbr\u003e *Developing Innovations versus Improving and Testing Models: Developmental Evaluation Distinguished from Formative and Summative Evaluation\u003cbr\u003e *Ongoing Development Informed by Developmental Evaluation\u003cbr\u003e *Strategic Thinking and Developmental Evaluation\u003cbr\u003e *The Niche of Developmental Evaluation: Chapter Overview and Summary\u003cbr\u003e 3. Thinking Outside Evaluation’s Boxes\u003cbr\u003e *Creative Evaluation\u003cbr\u003e *Of Plums and Prunes\u003cbr\u003e *History and Biography as Context: The Personal Factor\u003cbr\u003e *More History and Biography as Context\u003cbr\u003e *Fundamental Principles\u003cbr\u003e *Developmental Evaluation in Context\u003cbr\u003e *External Evaluators and Developmental Evaluation\u003cbr\u003e *Ten Key Points about Developmental Evaluation Illustrated by the Caribbean Example\u003cbr\u003e 4. Situation Recognition and Responsiveness: Distinguishing Simple, Complicated, and Complex\u003cbr\u003e *Detecting Patterns\u003cbr\u003e *Detecting Complexity as a Distinct Pattern and Territory for Inquiry\u003cbr\u003e *The Challenges of Situation Recognition\u003cbr\u003e *A Situation Recognition Heuristic: Distinguishing Simple, Complicated, and Complex\u003cbr\u003e *Situational Evaluation: Implications for Practice\u003cbr\u003e *Variations on a Theme: The Cynefin Framework\u003cbr\u003e 5. Systems Thinking and Complexity Concepts for Developmental Evaluation\u003cbr\u003e *From Train Brakeman to Locomotive Engineer to Evaluation Champion\u003cbr\u003e *Project SleepBetter\u003cbr\u003e *Systems Thinking\u003cbr\u003e *Complexities of Complexity\u003cbr\u003e *Useful Complexity Constructs for Developmental Evaluation\u003cbr\u003e *Complexity-Sensitizing Concepts\u003cbr\u003e 6. How the World Is Changed: A Dialectic with Thesis and Antithesis and Developmental Evaluation as the Synthesis\u003cbr\u003e *Competing Perspectives on How the World Is Changed\u003cbr\u003e *The Top-Down Approach\u003cbr\u003e *Adaptation versus Replication: Principles for Developmental Evaluation\u003cbr\u003e *Best Practices versus Effective Principles\u003cbr\u003e *From the Grass Roots to the Adaptive Middle\u003cbr\u003e *Alternative Approaches to Change\u003cbr\u003e *Developmental Evaluation: The Action in the Muddled Middle\u003cbr\u003e *Looking Back and Looking Forward\u003cbr\u003e *Appendix 6.1. Positioning and Contrasting Developmental Evaluation with Other Evaluation Approaches\u003cbr\u003e 7. The Adaptive Cycle and Developmental Evaluation\u003cbr\u003e *Some Context for Understanding the Adaptive Cycle: Poetry, Ecology, Sociology, Business, and Evaluation\u003cbr\u003e *The Complexity Doorframe Redux\u003cbr\u003e *Five Developmental Evaluation Purposes and Uses\u003cbr\u003e *Resilience and Developmental Evaluation\u003cbr\u003e *A Strategic Approach to Resilience: Engineering Resilience versus Ecosystem Resilience\u003cbr\u003e *The Adaptive Cycle\u003cbr\u003e *The Adaptive Cycle and Psychosocial Regimes\u003cbr\u003e *Evaluation and the Adaptive Cycle\u003cbr\u003e *Through the Looking Glass of the Adaptive Cycle: Examples of Organizational and Program Cycles\u003cbr\u003e *Transitions and Traps\u003cbr\u003e *Taking an Innovation to Scale: Challenges and Traps in Cross-Scale Change\u003cbr\u003e *Panarchy: Cross-Scale Interactions\u003cbr\u003e *Panarchy-Informed Evaluation: The Fact of a Doorframe\u003cbr\u003e 8. Developmental Evaluation Inquiry Frameworks\u003cbr\u003e *Frameworks for Developmental Evaluation Inquiry\u003cbr\u003e *Developmental Evaluation Inquiry Frameworks: Ten and Counting . . .\u003cbr\u003e 9. Developmental Evaluation Bricolage: Reflective Practice, Sensitizing Concepts, Action Research, Abduction, Systems Change, and Retrospective Developmental Evaluation\u003cbr\u003e *Reflective Practice for Developmental Evaluation Inquiry and Engagement\u003cbr\u003e *Sensitizing Concepts as a Focus for Reflective Practice and Developmental Evaluation\u003cbr\u003e *Kia ora\u003cbr\u003e *Action Research and Developmental Evaluation\u003cbr\u003e *Intersections of Developmental Evaluation and Action Research: A Distinguished Evaluation Pioneer Reflects\u003cbr\u003e *Reasoning and Developmental Evaluation\u003cbr\u003e *In Praise of Methodological Diversity and Appropriateness: A Methods and Tools Rant\u003cbr\u003e *Systems Change and Developmental Evaluation\u003cbr\u003e *Retrospective Developmental Evaluation\u003cbr\u003e *Damiano’s Retrospective Developmental Evaluation\u003cbr\u003e *Developmental Evaluation Bricolage\u003cbr\u003e 10. Utilization-Focused Developmental Evaluation: Engagement Practices, Diverse Designs, and Adaptive Methods\u003cbr\u003e *Different Kinds of Developmental Evaluation\u003cbr\u003e *Diversity of Design and Methods Options\u003cbr\u003e *Utilization-Focused Developmental Evaluation\u003cbr\u003e *Ten Utilization-Focused Developmental Evaluation Design Examples\u003cbr\u003e *Developmental Evaluation Engagement, Design, and Methods Summary\u003cbr\u003e *The First Developmental Evaluation: A Creation Story\u003cbr\u003e \u003c\/p\u003e","brand":"Guilford Publications","offers":[{"title":"Default Title","offer_id":48867724427607,"sku":"9781606238721","price":47.49,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781606238721.jpg?v=1722284661"},{"product_id":"successful-qualitative-research-a-practical-guide-for-beginners-9781847875822","title":"Successful Qualitative Research: A Practical","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cstrong\u003e*Shortlisted for the BPS Book Award 2014 in the Textbook Category*\u003cbr\u003e \u003cbr\u003e *Winner of the 2014 Distinguished Publication Award (DPA) from the Association for Women in Psychology (AWP)*\u003c\/strong\u003e\u003cbr\u003e \u003cbr\u003e \u003cp\u003e\u003cstrong\u003eSuccessful Qualitative Research: A Practical Guide for Beginners\u003c\/strong\u003e is an accessible, practical textbook. It sidesteps detailed theoretical discussion in favor of providing a comprehensive overview of strategic tips and skills for starting and completing successful qualitative research.\u003cbr\u003e \u003cbr\u003e Uniquely, the authors provide a \"patterns framework\" to qualitative data analysis in this book, also known as \"thematic analysis.\" The authors walk students through a basic thematic approach, and compare and contrast this with other approaches. This discussion of commonalities, explaining why and when each method should be used, and in the context of looking at patterns, will provide students with complete confidence for their qualitative research journey.\u003c\/p\u003e \u003cul\u003e\u003c\/ul\u003e \u003cp\u003eThis textbook will be an essential textbook for undergraduates and postgraduates taking a course in qualitative research or using qualitative approaches in a research project.\u003cbr\u003e \u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e′Like water wings for the qualitative research beginner, Successful Qualitative Research: A Practical Guide for Beginners gracefully supports methodological novices until they learn to swim elegantly, on their own, in qualitative waters… As a teacher, researcher or a student, you will want to thank the gifted methodologists Braun and Clarke for making it all seem so easy′\u003cbr\u003e\u003cb\u003e Michelle Fine\u003cbr\u003eThe City University of New York, NY, USA\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e′This is an admirably useful textbook that provides an uncommonly accessible, practical, and absorbing introduction for beginners to qualitative research′ \u003cbr\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eEva Magnusson\u003cbr\u003e Umeå University, UMEÅ, Sweden\u003c\/b\u003e \u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e′A clear, engaging and intelligent qualitative research guide which will greatly appeal to students new to this area. The authors should be commended for their lively style and attention to often hidden processes and practices involved in successful qualitative research′ \u003cbr\u003e\u003cb\u003eBrendan Gough\u003cbr\u003e Leeds Metropolitan University\u003c\/b\u003e \u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e′This book provides an excellent introduction to qualitative research, combining in-depth explanation of the distinctive nature and goals of qualitative research methods with practical tips and helpful examples for beginners′\u003cbr\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eLucy Yardley\u003cbr\u003e University of Southampton\u003c\/b\u003e \u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e′Virginia Braun and Victoria Clarke present a clear and comprehensive road map for executing a successful qualitative study. They do so in a very engaging way that really brings the process to life for the reader. This book will be an essential read for anyone contemplating a qualitative research project′\u003cbr\u003e\u003cb\u003e Guy Faulkner\u003cbr\u003e University of Toronto\u003c\/b\u003e \u003c\/p\u003e\u003cbr\u003e′This practical guide refreshingly demystifies the qualitative research process, relentlessly pushing an agenda for uncomplicated but high standards across the board and generously enabling anyone, no matter how inexperienced, to get on with it and do it well. It is the kind of guide that not only says \u003cem\u003ehow\u003c\/em\u003e to do it but that actually \u003cem\u003eshows\u003c\/em\u003e how to do it, with a myriad of real, reproduced examples, extremely useful tables, boxes, chapter summaries, questions for discussion, exercises and lists of resources including references to a companion website with even more guidance and examples.′ -- Edith Steffen\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eAcknowledgements PART ONE: Successfully Getting Started in Qualitative Research Chapter One: Some Very Important Starting Information\t Chapter Two: 10 Fundamentals of Qualitative Research\t Chapter Three: Planning and Designing Qualitative Research PART TWO: Sucessfully Collecting Qualitative Data Chapter Four: Interactive Data Collection 1: Interviews Chapter Five: Interactive Data Collection 2: Focus Groups\t Chapter Six: Textual Data Collection: Surveys, Stories, Diaries and Secondary Sources\t PART THREE: Successfully analysing Qualitative Data\t Chapter Seven: Preparing Audio Data for Analysis: Transcription\t Chapter Eight: Moving Towards Analysis Chapter Nine: First Analytic Steps: Familiarization and Data Coding Chapter Ten: Identifying Patterns across Data\t Chapter Eleven: Analyzing and Interpreting Patterns Across Data\t PART FOUR: Successfully Completing Qualitative Research\t Chapter Twelve: Quality Criteria and Techniques for Qualitative Research\t Chapter Thirteen: Writing and Communicating Qualitative Research","brand":"Sage Publications Ltd","offers":[{"title":"Default Title","offer_id":48868727292247,"sku":"9781847875822","price":37.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781847875822.jpg?v=1722289424"},{"product_id":"advanced-quantitative-data-analysis-9780335200597","title":"ADVANCED QUANTITATIVE DATA ANALYSIS","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e*What do advanced statistical techniques do?\u003cbr\u003e*When is it appropriate to use them?\u003cbr\u003e*How are they carried out and reported?\u003cbr\u003e\u003cbr\u003eThere are a variety of statistical techniques used to analyse quantitative data that masters students, advanced undergraduates and researchers in the social sciences are expected to be able to understand and undertake. This book explains these techniques, when it is appropriate to use them, how to carry them out and how to write up the results. Most books which describe these techniques do so at too advanced or technical a level to be readily understood by many students who need to use them. In contrast the following features characterise this book:\u003cbr\u003e\u003cbr\u003e- concise and accessible introduction to calculating and interpreting advanced statistical techniques\u003cbr\u003e- use of a small data set of simple numbers specifically designed to illustrate the nature and manual calculation of the most important statistics in each technique\u003cbr\u003e- succinct illustration of wr\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eSeries editor’s foreword \u003cbr\u003ePreface \u003cbr\u003e1 Introduction\u003cbr\u003e\u003cbr\u003e\u003cb\u003ePART 1\u003cbr\u003eGrouping quantitative variables together\u003c\/b\u003e\u003cbr\u003e2 Exploratory factor analysis\u003cbr\u003e3 Confirmatory factor analysis\u003cbr\u003e4 Cluster analysis\u003cbr\u003e\u003cbr\u003e\u003cb\u003ePART 2\u003cbr\u003eExplaining the variance of a quantitative variable\u003c\/b\u003e\u003cbr\u003e5 Stepwise multiple regression\u003cbr\u003e6 Hierarchical multiple regression\u003cbr\u003e\u003cbr\u003e\u003cb\u003ePART 3\u003cbr\u003eSequencing the relationships between three or more quantitativevariables\u003c\/b\u003e\u003cbr\u003e7 Path analysis assuming no measurement error\u003cbr\u003e8 Path analysis accounting for measurement error \u003cbr\u003e\u003cbr\u003e\u003cb\u003ePART 4\u003cbr\u003eExplaining the probability of a dichotomous variable \u003c\/b\u003e\u003cbr\u003e9 Binary logistic regression \u003cbr\u003e\u003cbr\u003e\u003cb\u003ePART 5\u003cbr\u003eTesting differences between group means\u003c\/b\u003e \u003cbr\u003e10 An introduction to analysis of variance and covariance \u003cbr\u003e11 Unrelated one-way analysis of covariance \u003cbr\u003e12 Unrelated two-way analysis of variance \u003cbr\u003e\u003cbr\u003e\u003cb\u003ePART 6\u003cbr\u003eDiscriminating between groups \u003c\/b\u003e\u003cbr\u003e13 Discriminant analysis\u003cbr\u003e\u003cbr\u003e\u003cb\u003ePART 7\u003cbr\u003eAnalysing frequency tables with three or more qualitative variables \u003cbr\u003e\u003c\/b\u003e14 Log-linear analysis \u003cbr\u003eGlossary \u003cbr\u003eReferences \u003cbr\u003eIndex","brand":"Open University Press","offers":[{"title":"Default Title","offer_id":48883982205271,"sku":"9780335200597","price":31.34,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780335200597.jpg?v=1722529891"},{"product_id":"biographical-research-9780335202867","title":"BIOGRAPHICAL RESEARCH","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cb\u003e\"Roberts is certainly successful in conveying a sense of the rich diversity of biographical research. This is a book based upon a formidably wide-ranging bibliography together with his own, by no means insignificant, contributions to the fieldâ[the]âreader will be left in no doubt as to the central importance of biographical research and of its legitimate position within the social sciences\" \u003c\/b\u003e - David Morgan, Emeritus Professor of Sociology, Manchester University (former President, British Sociological Association), Auto\/Biography, a BSA Study Group journal, 2002.\u003cp\u003e\u003cb\u003e\"Brian Robertsâ book is a highly accessible introduction to biographical methodâThe author deftly and confidently addresses the available work in a variety of disciplines ranging from education through oral history, feminism to memoryâ I warmly recommend this book to any historian interested in biography and what its study can tell them about what they doâ.\u003c\/b\u003e - Alun Munslow, Professor of History, Staffordshire Un\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e'Anyone who set out to encompass the whole of biographical research in around 200 pages faces a formidable task...Roberts is certainly successful in conveying a sense of the rich diversity of biographical research. This is a book based upon a formidably wide-ranging bibliography together with his own, by no means insignificant, contributions to the field...[the]...reader will be left in no doubt as to the central importance of biographical research and of its legitimate position within the social sciences'. - David Morgan 20020101\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eSeries editor's foreword\u003cbr\u003eIntroduction\u003cbr\u003ebiographical research\u003cbr\u003eUses of biographical research\u003cbr\u003eThe life history\u003cbr\u003eAutobiography and biography\u003cbr\u003eAuto\/biography and sociology\u003cbr\u003eOral history\u003cbr\u003eThe narrative analysis of lives\u003cbr\u003eMemory and autobiography\u003cbr\u003eEthnography and biographical research\u003cbr\u003eConclusion\u003cbr\u003eReferences\u003cbr\u003eIndex.\u003cbr\u003e\u003c\/p\u003e","brand":"Open University Press","offers":[{"title":"Default Title","offer_id":48883982598487,"sku":"9780335202867","price":28.49,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780335202867.jpg?v=1722529895"},{"product_id":"research-methods-in-psychology-9781292461595","title":"Research Methods in Psychology","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003eDennis Howitt\u003c\/strong\u003e was a Reader in Psychology at Loughborough University, chartered forensic psychologist and Fellow of the British Psychological Society, with a specific interest in the study of mass communications and the application of psychology to social issues.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eDuncan Cramer\u003c\/strong\u003e is an Emeritus Professor at Loughborough University with a specific interest in topics such as mental health, personality, personal relationships, organizational commitment, psychotherapy and counselling.\u003c\/p\u003e","brand":"Pearson Education Limited","offers":[{"title":"Default Title","offer_id":48885387067735,"sku":"9781292461595","price":45.59,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781292461595.jpg?v=1722536180"},{"product_id":"the-adult-attachment-projective-picture-system-9781462504251","title":"The Adult Attachment Projective Picture System","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis book presents cutting-edge research on adult attachment together with a complete overview of the Adult Attachment Projective Picture System (AAP), the authors' validated developmental assessment. In addition to identifying attachment classification groups, the AAP yields important information about dimensions--including defensive processes--not evaluated by other available measures. Detailed case illustrations show what the AAP looks like in action and what it reveals about individuals' early experiences, sense of self, and capacity to engage in close, protective relationships. The AAP can be used in clinical or research settings; the concluding chapter discusses promising applications to studying the neurobiology of attachment.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\"Research on patterns of adults' thoughts, memories, and feelings about intimate family relationships--especially child-parent relationships--has developed steadily and dramatically. One of the biggest challenges is developing assessment tools that successfully balance scientific precision, reliability, and validity with practical clinical utility. This volume represents the most promising attempt to meet this need that I have seen to date. I am certain this book will motivate researchers and clinicians alike to use the AAP in their work, and will become a well-worn reference.\"--Robert Marvin, PhD, University of Virginia, and Director, The Mary Ainsworth Child-Parent Attachment Clinic\u003cbr\u003e\u003cbr\u003e\"The AAP is an exciting and useful tool for research and clinical practice. George and West describe the development and major features of the AAP while also providing incisive, original contributions to contemporary attachment theory. This book is appropriate for researchers and clinicians--both experts and novices--and for graduate students. I eagerly anticipate using it in training clinicians in Therapeutic Assessment.\"--Stephen E. Finn, PhD, Founder, Center for Therapeutic Assessment; Department of Psychology, University of Texas at Austin\u003cbr\u003e\u003cbr\u003e\"This splendid, important book is grounded in a strong theory and infused with creativity. It presents an assessment method that is user friendly and economical, validated in clinical and community samples, and confirmed by neurobiological research. The book uses many case examples to illustrate adults' representations of attachment patterns. For graduate students, it is a guide to thinking beyond existing methods when asking new questions. For professionals in clinical and research settings, it opens a window to unconscious relationship biases.\"--Karin Grossmann, PhD, Department of Psychology, University of Regensburg, Germany -\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eI. Background\u003c\/b\u003e 1. Narrative versus Non-Narrative Assessment of Adult Attachment 2. Defining Attachment Stories as Representational Precipitates \u003cb\u003eII. Development, Validation, and Coding of the AAP\u003c\/b\u003e 3. The Development and Validation of the AAP 4. The Attachment Self: The AAP Attachment Content Coding Dimensions 5. Defensive Processes in the AAP \u003cb\u003eIII. Using the AAP \u003c\/b\u003e 6. Secure Attachment 7. Dismissing Attachment 8. Preoccupied Attachment 9. Dysregulated Segregated Systems: Unresolved Attachment, Failed Mourning, and Preoccupation with Suffering 10. Using the AAP in Neurobiology Research,\u003ci\u003e Anna Buchheim \u003c\/i\u003eand \u003ci\u003eCarol George\u003c\/i\u003e\u003c\/p\u003e","brand":"Guilford Publications","offers":[{"title":"Default Title","offer_id":48885726052695,"sku":"9781462504251","price":43.69,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781462504251.jpg?v=1722537476"},{"product_id":"positive-psychology-for-healthy-organizations-the-challenge-of-primary-prevention-in-a-cross-cultural-perspective-9781536159493","title":"Positive Psychology for Healthy Organizations:","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e","brand":"Nova Science Publishers Inc","offers":[{"title":"Default Title","offer_id":48886136832343,"sku":"9781536159493","price":138.39,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781536159493.jpg?v=1722538947"},{"product_id":"advances-in-psychology-research-volume-55-9781604561760","title":"Advances in Psychology Research: Volume 55","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e","brand":"Nova Science Publishers Inc","offers":[{"title":"Default Title","offer_id":48886629761367,"sku":"9781604561760","price":149.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781604561760.jpg?v=1722540950"},{"product_id":"psychoanalytic-diagnosis-second-edition-understanding-personality-structure-in-the-clinical-process-9781609184940","title":"Psychoanalytic Diagnosis, Second Edition:","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis acclaimed clinical guide and widely adopted text has filled a key need in the field since its original publication. Nancy McWilliams makes psychoanalytic personality theory and its implications for practice accessible to practitioners of all levels of experience. She explains major character types and demonstrates specific ways that understanding the patient's individual personality structure can influence the therapist's focus and style of intervention. Guidelines are provided for developing a systematic yet flexible diagnostic formulation and using it to inform treatment. Highly readable, the book features a wealth of illustrative clinical examples.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eNew to This Edition\u003c\/b\u003e *Reflects the ongoing development of the author's approach over nearly two decades. *Incorporates important advances in attachment theory, neuroscience, and the study of trauma. *Coverage of the contemporary relational movement in psychoanalysis. \u003cbr\u003eWinner--Canadian Psychological Association's Goethe Award for Psychoanalytic and Psychodynamic Scholarship\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis is a book for all clinicians who aspire to understand their clients deeply and help them live more richly and authentically. McWilliams synthesizes a century of cumulative clinical wisdom and offers it in a form that is accessible and useful to clinicians of any theoretical persuasion. The first edition of \u003ci\u003ePsychoanalytic Diagnosis\u003c\/i\u003e was an instant classic; the second edition is exceptionally lucid and masterful. This is McWilliams, master clinician and teacher, at her very best.--Jonathan Shedler, PhD, Department of Psychiatry, University of Colorado School of Medicine\u003cbr\u003e\u003cbr\u003eIn revising \u003ci\u003ePsychoanalytic Diagnosis\u003c\/i\u003e, McWilliams has surpassed herself. The original--deservedly regarded as a classic--was an integrative tour de force; the second edition is even better. Informed by current advances in neuroscience and infant research, and reshaped in light of the 'relational turn' in contemporary psychoanalysis, this book distills a vast literature on development, psychopathology, and therapy into an extraordinarily useful map of the clinical terrain. It is at once an indispensable resource for beginning therapists, a valuable teaching tool, and a comprehensive reference for seasoned clinicians.--David J. Wallin, PhD, private practice, Mill Valley and Albany, California\u003cbr\u003e\u003cbr\u003eIn this accessible and impassioned book, McWilliams provides organizing principles to help us understand psychopathology without oversimplifying or evading the difficult questions raised by diagnosis. Reading McWilliams's book will make you feel like you know her. Her extraordinary humanity, wisdom, deep sense of ethics, and steady concern for her patients are evident throughout. The second edition includes an updated presentation of attachment theory, addresses the contributions of relational theory and neuroscience research, and integrates a contemporary understanding of somatization and defense. A 'must read' for every clinician in training.--Joyce A. Slochower, PhD, Postdoctoral Program in Psychotherapy and Psychoanalysis, New York University\u003c\/p\u003e\u003cp\u003e-This essential text is highly useful to all practitioners of any theoretical orientation….[McWilliams's] writing style is much like she describes her therapy sessions….Her personal sharing gives the text a soul and you feel you are with a warm and wise teacher….This text [is] as enjoyable as it is enlightening….It goes into great detail about personality organization, defensive functioning, and character styles and describes how they impact treatment.--DIVISION\/Review, 04\/01\/2013ƒƒWith humor, warmth, and enthusiasm, Dr. McWilliams instills confidence while making the book a delectable read. There is no doubt that the goal of 'enhancing practice' has been achieved. This book is highly recommended to any clinician-in-training as a foundation for psychoanalytic thinking and also to any practicing therapist as a well-structured and comprehensive resource....This book will be a rich addition to learning about psychoanalytic diagnosis (and psychoanalytic concepts) for any younger mental health professional who is seriously interested in depth psychology. It will also be a valuable tool for more experienced clinicians and educators who would like assistance in translating fairly complex concepts into language that can be appreciated by learners of a variety of different levels of sophistication and disciplinary backgrounds.--Journal of Clinical Psychiatry, 10\/01\/2012ƒƒIf a 'charming textbook' seems like an oxymoron, then welcome to Nancy McWilliams's Psychoanalytic Diagnosis. Her book is just such a wonder....McWilliams has succeeded in producing a book for initial learning that will remain on her readers' desks as a frequently thumbed manual. (on the first edition)--Psychoanalytic Books, 07\/16\/2011ƒƒThanks to McWilliams's excellent book, those of us who teach or supervise can at last offer our students and supervisees a comprehensive, exceptionally well-organized text on diagnosis, grounded in evolving psychoanalytic theory and focused on linking diagnosis to the appropriate therapeutic response....Experienced therapists will enjoy a thorough 'refresher' course while also absorbing new ideas, and less experienced clinicians will gain a solid structural foundation and essential guidelines for their clinical work. (on the first edition)--Contemporary Psychology, 07\/16\/2011\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eIntroduction \u003cbr\u003e \u003cb\u003eI. Conceptual Issues\u003c\/b\u003e \u003cbr\u003e 1. Why Diagnose? \u003cbr\u003e 2. Psychoanalytic Character Diagnosis \u003cbr\u003e 3. 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Suggested Diagnostic Interview Format\u003c\/p\u003e","brand":"Guilford Publications","offers":[{"title":"Default Title","offer_id":48886777119063,"sku":"9781609184940","price":67.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781609184940.jpg?v=1722541518"},{"product_id":"psychopathology-theory-perspectives-future-approaches-9781626184701","title":"Psychopathology: Theory, Perspectives \u0026 Future","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis book is comprised from a number of international contributions which come from diverse paradigms and country backgrounds (Greece, Italy, Portugal, Spain, Netherlands, Bulgaria, US and Australia). Authors are outstanding scholars in their field affiliated with leading academic institutions. 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