Psychological methodology Books
Pearson Education Statistics Without Maths for Psychology
Book SynopsisJohn Reidy is an Emeritus Professor of Psychology at Sheffield Hallam University. He was previously Head of Department for the Department of Psychology, Sociology and Politics at Sheffield Hallam University. His research interests include cognition and emotion, health psychology interventions and psychometric testing. Christine P. Dancey was an Emeritus Professor of Psychology at the University of East London.
£50.34
Pearson Education Introduction to Qualitative Research Methods in
Book SynopsisDennis Howitt 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.
£41.39
American Psychological Association Critical Thinking About Research
Book Synopsis To become informed consumers of research, students need to thoughtfully evaluate the research they read rather than accept it without question. This second edition of a classic text gives students what they need to apply critical reasoning when reading behavioral science research. This second editionupdates the original text with recent developments in research methods, including a new chapter on meta-analyses. Part I gives a thorough overview of the steps in a research project. It focuses on how to assess whether the conclusions drawn in a behavioral science report are warranted by the methods used in the research. Topics include research hypotheses, sampling, experimental design, data analysis, interpretation of results, and ethics. Part II allows readers to practice critical thinking with a series of fictitious journal articles containing built-in flaws in method and interpretation. Clever and engaging, each article is accompanied by a commentary that points Trade Review“This volume provides a valuable background for the skills students must develop to be good consumers and producers of research.” —ChoiceThis volume provides a valuable background for the skills students must develop to be good consumers and producers of research. * Choice *Table of ContentsForward Introduction. Why Psychologists and Professionals in Related Fields Need to be Critical Thinkers Overview of the Chapters Who Will Find This Book Useful?Part I. Principles of Critical Thinking 1. Seeking Trustworthy Knowledge 2. Research Questions and Hypotheses 3. Research Variables and Strategies 4. The Sample 5. Confounding Variables and Their Control 6. Research Designs and Threats to Internal Validity 7. Manipulation and Measurement Validity 8. Data Analysis, Discussion, and Conclusions 9. Inferences, Conclusions, and the Research Report 10. Research Syntheses and Meta-Analysis 11. Research EthicsPart II. Critical Thinking Using Practice Articles Practice Article 1. Use of Counselor “Street Talk” to Stimulate Self-Disclosure of Inner-City Youths Practice Article 2. Treatment of Flying Phobia: Comparative Efficacy of Two Behavioral Methods Practice Article 3. The Effect of Divorce on Sons’ Aggression Practice Article 4. Dyslexia in Fifth-Grade Girls: Personality and Perceptual Factors Practice Article 5. Time Estimation: Effect of Depression and Pleasantness or Unpleasantness of an Experience Practice Article 6. Bossiness in Firstborn Girls Practice Article 7. Effect of Context Upon Accuracy of Recall of Affective Experiences Practice Article 8. The Effects of Medication and Cognitive Behavior Therapy on Insomnia Practice Article 9. Midlife Crises of Men at Age 50 Practice Article 10. Effect of Job Stress and Stress Management on Low Back Pain Practice Article 11. Evaluation of Health Maintenance Organizations Practice Article 12. Effects of Jury Selection Consultation on Trial Outcome Practice Article 13. Contingency Reinforcement in the Treatment of Talking Aloud to Self: A Single-Case Study Practice Article 14. The Effect of Race of Examiner on IQ Scores of American Indians Practice Article 15. Social Effects of Tax Deadline Practice Article 16. Comparative Effectiveness of Teacher Management Styles in a Fifth-Grade Classroom Practice Article 17. Age Differences in Gullibility: A Meta-Analysis Epilogue Glossary References Index About the Authors
£50.35
American Psychological Association Essentials of Critical Participatory Action
Book SynopsisThis book describes a method in which researchers commit to research WITH, not ON, members of marginalized communities in order to challenge and transform conditions of social injustice.Trade ReviewEssentials of Critical Participatory Action Research is an engaging text for scholar-activists who are interested in conducting qualitative research with and for communities that have been historically disenfranchised, erased, or pathologized in traditional research. The authors, with their vast knowledge of conducting critical qualitative research with marginalized communities, guide the reader in considering alternative and affirming methods and analyses, as well as nontraditional venues for disseminating their work. What I appreciate most about the text is its consistent integrations of intersectional analyses—reminding readers to acknowledge their own privilege while being vigilant for the inequitable power dynamics that are far too typical among “experts” conducting the research and “subjects” who need to be studied or saved. -- Kevin L. Nadal, PhD, City University of New York, New YorkExcellent! This outstanding book illustrates how to engage in critical participatory research WITH, not ON, marginalized groups interested in challenging oppression. Rooted in the activist call of, “No research on us, without us,” Michelle Fine and María Elena Torre masterfully demonstrate how to tap into collective wisdom as they collaborate in research with diverse oppressed groups in an empowering, emancipatory, and ethical manner. Essentials of Critical Participatory Action Research is a must-read for researchers, social scientists, educators, and trainees who endorse a commitment to social justice. -- Lillian Comas-Díaz, PhD, Clinical Professor, Department of Psychiatry and Behavioral Sciences, George Washington University, Washington, DC, author of Multicultural Care: A Clinician’s Guide to Cultural CompetenceTable of ContentsSeries Foreword—Clara E. Hill and Sarah Knox 1. Critical Participatory Action Research: Conceptual Foundations Why CPAR? Critical Elements Where Collective Wisdom Grows: Participatory Contact Zones Situating CPAR in the Qualitative Traditions Critical Epistemological Roots: Widening Our Understanding of Expertise Disciplinary Elders: Historical Roots in Community-Based Inquiry Crafting and Performing Public-Facing Scholarship for Action, Transformation, and Provocation 2. Participatory Design Assembling a Diverse Community of Coresearchers Designing Mirrors and Windows Images of Opening Sessions Methodological Release Points: Strategies for Unleashing Collective Wisdom A Cautionary Note on Privilege in the Contact Zone Building an Ethical Research Collective: Ethics and Institutional Review Boards 3. Participatory Knowledge Production Piloting: Accountability to and Feedback From the Community Finalizing the Instrument: A Qualitative Participatory National Survey? Cascading Research Questions: Evolving Inquiries in the Participatory Contact Zone Growing a Sample of Radical Inclusivity and Structural Intersectionality Inquiry Marinating in Communities of Care, Concern, and Action 4. Participatory Analysis Moving Toward Action Slicing the Data Steps of Participatory Analysis: Culling the Database, Macro Review, and Then Coding Coding: The Stories and Analysis Creating a Codebook Bending Analysis Toward Action 5. Vibrant Variations and Grounding Questions Grounding Questions for Critical Participatory Inquiry Participatory Research as a Tool of Struggle and Solidarity in Contentious Times Challenges and Joys 6. Methodological Integrity Fidelity and Diversity To Be of Use: Action, Transformation, and Provocation CPAR Touchstones for Integrity and Accountability Evaluating CPAR: How Do You Know Whether It Is Good Enough? 7. Writing Process and Research Products Epilogue: Critical PAR in Crisis: An Epistemic Offering Toward Solidarity References Index About the Authors About the Series Editors
£21.84
American Psychological Association Essentials of Existential Phenomenological
Book SynopsisIn this book, Scott D. Churchill introduces readers to existential phenomenological research, an approach that seeks an in-depth, embodied understanding of subjective human existence that reflects a person's values, purposes, ideals, intentions, emotions, and relationships.Table of ContentsSeries Foreword—Clara E. Hill and Sarah Knox 1. Conceptual Foundations of Existential Phenomenological Research The “Human Science” Approach as a Way of Seeing What Is the Key Insight of Existential Phenomenology? Summary 2. Getting Started: Selecting an Experience to Study Formulating a Research Question Summary 3. Collecting the Data Attending to Ethical Considerations Selecting Participants Developing an Experiential “Approach” to Data Collection Data-Generating Activities 4. First Phase of Data Analysis: Focusing on Moments Within the Whole Doing Psychology Phenomenologically Mentoring EPR in the Classroom: Training the Research Team Summary 5. Second Phase of Data Analysis: Comprehensive Synthesis Individual Structural Description: A Comprehensive Synthesis General Structural Description: The Intuition of Essential Meaning Summary 6. Writing the Research Report Introduction Section Method Section Results Section Discussion Section Summary 7. Conclusions The Place of Phenomenology Within the Qualitative Tradition Achieving Methodological Integrity Strengths, Limitations, and Future Directions Appendix: Exemplar Studies References Index About the Author About the Series Editors
£21.84
Macmillan Learning Research Methods
Book Synopsis
£63.64
Taylor & Francis Writing Empirical Research Reports
Book SynopsisWriting Empirical Research Reports: A Basic Guide for Students of the Social and Behavioral Sciences, Ninth Edition, offers clear and practical guidance on how to write research proposals, reports, theses, and dissertations.The book describes the types of information that should be included, how this information should be expressed, and where various types of information should be placed within a research report. The organization is designed to walk students through all the elements required when writing an original research report for a class, for a thesis/dissertation, or for publication. Most guidelines are illustrated with examples from actual (and recent) research reports published in peer-reviewed journals across the social and behavioral sciences. The new edition includes fully updated examples and chapter exercises, expanded material on qualitative methods, significant new material on research ethics, and new content on online research including social media.Table of Contents1: Structuring a Research Report 2: Writing Simple Research Hypotheses 3: A Closer Look at Hypotheses 4: Writing Research Objectives and Questions 5: Writing Titles 6: Writing Introductions and Literature Reviews 7: Writing Definitions 8: Writing Assumptions, Limitations, and Delimitations 9: Writing Method Sections 10: Describing Experimental Methods 11: Writing Analysis and Results Sections 12: Writing Discussion Sections 13: Writing Abstracts 14: A Closer Look at Writing Reports of Qualitative or Mixed Methods Research 15: Preparing Reference Lists; Appendix A: A Checklist of Guidelines Appendix B: Thinking Straight and Writing That Way Appendix C: The Null Hypothesis and Significance Testing
£54.14
Taylor & Francis Functional Analytic Psychotherapy
Book SynopsisFollowing in the steps of the first edition, Functional Analytic Psychotherapy: Distinctive Features, 2nd Edition, provides a history, context, and building blocks for a behavior therapist to incorporate Functional Analytic Psychotherapy (FAP) into their work.This new volume updates material based upon research that has occurred since the first edition, as well as philosophical and theoretical shifts in behavior therapy, such as an emphasis on FAP as a process-based therapy. Each FAP principle is presented in terms of its intended purpose and is clearly linked to the underlying theory, providing clinicians with a straightforward guide for when and how to apply each technique. Practical tips have been added to aid in case conceptualization and the integration of a FAP framework into other process-based, behavioral conceptualizations. The added breadth and depth also emphasize FAPâs unique role in meeting the needs of diverse and marginalized people and applying FAP acro
£19.99
Taylor & Francis An Introduction to Multilevel Modeling Techniques
Book SynopsisMultilevel modelling is a data analysis method that is frequently used to investigate hierarchal data structures in educational, behavioural, health, and social sciences disciplines. Multilevel data analysis exploits data structures that cannot be adequately investigated using single-level analytic methods such as multiple regression, path analysis, and structural modelling. This text offers a comprehensive treatment of multilevel models for univariate and multivariate outcomes. It explores their similarities and differences and demonstrates why one model may be more appropriate than another, given the research objectives. New to this edition: An expanded focus on the nature of different types of multilevel data structures (e.g., cross-sectional, longitudinal, cross-classified, etc.) for addressing specific research goals; Varied modelling methods for examining longitudinal data including random-effect and fixed-effect approaches; <Trade Review"Developing a basic modeling strategy that researchers can follow to investigate multilevel data structures can be challenging. Heck and Thomas have once again presented a must-have reference book to get the job done. This edition’s use of four different software packages and additional easy-to-follow illustrative examples enhance what was already a superb resource for both students and researchers." – George A. Marcoulides, University of California, Santa Barbara, USA Table of ContentsPreface 1. Introduction 2. Getting Started with Multilevel Analysis 3. Multilevel Regression Models 4. Extending the Two-Level Regression Model 5. Methods for Examining Individual and Organizational Change 6. Multilevel Models with Categorical Variables 7. Multilevel Structural Equation Variables 8. Multilevel Latent Growth and Mixture Models 9. Data Consideration in Examining Multilevel Models
£52.24
Taylor & Francis Ltd The Essence of Multivariate Thinking
Book SynopsisFocusing on the underlying themes that run through most multivariate methods, in this fully updated 3rd edition of The Essence of Multivariate Thinking Dr. Harlow shares the similarities and differences among multiple multivariate methods to help ease the understanding of the basic concepts. The book continues to highlight the main themes that run through just about every quantitative method, describing the statistical features in clear language. Analyzed examples are presented in 12 of the 15 chapters, showing when and how to use relevant multivariate methods, and how to interpret the findings both from an overarching macro- and more specific micro-level approach that includes focus on statistical tests, effect sizes and confidence intervals. This revised 3rd edition offers thoroughly revised and updated chapters to bring them in line with current information in the field, the addition of R code for all examples, continued SAS and SPSS code for seven chapters, two new chapteTrade Review"Harlow breaks down concepts in simple terms and draws insightful comparisons across different statistical techniques. The text is an excellent resource for all who conduct statistical analyses, from undergraduates to professionals, and everywhere in between."A. Nayena Blankson, Full Professor of Psychology, Spelman College, USA"Once again, Harlow writes with authority and great clarity. There’s discussion of estimation, replication, and reproducibility, and all through there’s R code and guidance. This shrewdly revised new edition is a wonderfully future-oriented guide to the multivariate world."Geoff Cumming, Professor Emeritus, La Trobe University, Melbourne, Australia "The Essence of Multivariate Thinking provides a gentle introduction to an expansive toolkit of methods with a through line focused on aptly applying them to research questions. Dr. Harlow seamlessly ties together several modeling frameworks (e.g., multiple regression, MANOVA, discriminant function analysis, logistic regression, SEM, and latent growth modeling) by emphasizing commonalities in their underlying assumptions, statistical tests, and effect size interpretations. All this was done with a clear and accessible writing style accompanied by a unifying data example using R, SAS, and SPSS."Jolynn Pek, Associate Professor of Quantitative Psychology, Ohio State University, USA "In this third edition of her landmark text on multivariate methods, readers are furnished with ways to think about a variety of multivariate techniques from start to finish: preliminary considerations, testing assumptions, conducting analyses, and writing up and interpreting the results. They will learn how the various multivariate methods are related, and when each should be used. Readers can pattern their own analyses after those used as examples in the book. Her example analyses are easy to follow and emulate.Every chapter ends by summarizing a topic around a set of core themes to help researchers understand and select appropriate multivariate methods. Professor Harlow is known for her didactic style and ability to communicate complex topics in clear, approachable language. In this third edition she adds new material on multi-sample SEM and latent growth curve models. The provision of R code for all analyses is a welcome addition. Readers will emerge knowing about a variety of multivariate methods—how they are related and distinct, when to use them, how to conduct them, and how to communicate the results to readers. Harlow has a knack for explaining complicated methods in clear, approachable language. In this revised third edition of her landmark text, she provides readers with all the tools they need to become expert users and consumers of multivariate techniques."Kristopher J. Preacher, Lois Autrey Betts Chair in Education & Human Development, Vanderbilt University, USA "Lisa Harlow's third edition of The Essence of Multivariate Thinking is the perfect textbook for introductory graduate statistics or a multivariate statistics course. Each chapter provides readers with the foundational knowledge and relevant software code to start implementing the analyses in their own work right away. Harlow's accessible chapters strike the right balance of unique information and related themes." Alyssa Counsell, Assistant Professor in Quantitative Psychology, Toronto Metropolitan University, Ontario, CanadaTable of ContentsI. OVERVIEWChapter 1: Introduction and Multivariate ThemesChapter 2: Background ThemesII. INTERMEDIATE MULTIVARIATE METHODS WITH ONE CONTINUOUS OUTCOMEChapter 3: Multiple RegressionChapter 4: Analysis of CovarianceIII. MULTIVARIATE GROUP METHODS WITH CATEGORICAL VARIABLE(S)Chapter 5. Multivariate Analysis of VarianceChapter 6: Discriminant Function AnalysisChapter 7: Logistic RegressionIV. MULTIVARIATE DIMENSIONAL METHODS WITH CONTINUOUS VARIABLESChapter 8: Principal Components and Factor AnalysisV: STRUCTURAL EQUATION MODELINGChapter 9: Structural Equation ModelingChapter 10: Path AnalysisChapter 11: Confirmatory Factor AnalysisChapter 12: Latent Variable ModelingChapter 13: Multiple Sample AnalysisChapter 14: Latent Growth ModelingVI: SUMMARYChapter 15: Integration of Multivariate Methods
£49.39
Taylor & Francis The Aesthetics of SelfHarm
Book SynopsisThe Aesthetics of Self-Harm presents a new approach to understanding parasuicidal behaviour, based upon an examination of online communities that promote performances of self-harm in the pursuit of an idealised beauty. The book considers how online communities provide a significant level of support for self-harmers and focuses on relevant case studies to establish a new model for the comprehension of the online supportive community. To do so, Alderton explores discussions of self-harm and disordered eating on social networks. She examines aesthetic trends that contextualise harmful behavior and help people to perform feelings of sadness and vulnerability online. Alderton argues that the traditional understanding of self-violence through medical discourse is important, but that it misses vital elements of human group activity and the motivating forces of visual imagery. Covering psychiatry and psychology, rhetoric and sociology, this book provides essential reaTable of ContentsPreface 1. Self-Harm on Social Networks: Understanding Online Eating Disorder and Self-Harm Communities 2. The Aesthetics of Self-Harm: Visual Rhetoric as a Key to Understanding Online Activities 3. Sad Girls: The Internet and the Performance of Mood 4. Suggestions for Clinical Practitioners: New Tools for Managing Visually Oriented Self-Harmers 5. Healing Through Aesthetics: How Images Can Guide Behaviour and Health
£39.99
Taylor & Francis Ltd The Theoretical Framework in Phenomenological
Book SynopsisThe Theoretical Framework in Phenomenological Research: Development and Application is an introduction to phenomenology in which the authors overview its origin, main ideas and core concepts. They show the application and relevancy of phenomenological tenets in practical qualitative research, as well as demonstrate how aligning theory and method enhances research credibility.In this detailed but digestible explanation of phenomenological theories, the authors explore the ideas of the main founders pertaining to the meaning of perceived reality and the meaning of being, and how these founders articulated their methodologies. In doing so, The Theoretical Framework in Phenomenological Research fills the well-documented gap between theory and practice within phenomenology by providing a much-needed bridge between the foundational literature and applied research on the subject, focusing equally on theory and practice. The book includes practical demTable of Contents1. Pragmatic Perspectives on Phenomenology in Social Research Methods 2. Understanding the Phenomenological Theory of Experience (Consciousness, Intentionality and Essence) 3. Understanding Epoché and Bracketing 4. Navigating Through the Tenets of Phenomenology 5. Understanding the Rationale and Role of Developing Theoretical/Conceptual Framework 6. Developing Theoretical/Conceptual Framework 7. Applying Theoretical/Conceptual Framework (At the Data Analysis Phase) 8. A Guide for Designing Phenomenological Research
£39.99
Taylor & Francis Interpreting Basic Statistics
Book SynopsisInterpreting Basic Statistics gives students valuable practice in interpreting statistical reporting as it actually appears in peer-reviewed journals. Features of the ninth edition: Covers a broad array of basic statistical concepts, including topics drawn from the New Statistics Up-to-date journal excerpts reflecting contemporary styles in statistical reporting Strong emphasis on data visualization Ancillary materials include data sets with almost two hours of accompanying tutorial videos, which will help students and instructors apply lessons from the book to real-life scenarios About this book Each of the 63 exercises in the book contain three central components: 1) an introduction to a statistical concept, 2) a brief excerpt from a published research article that uses the statistical concept, and 3) a set of questions (with answers) that guides students into deeper learning about the concept. The questioTrade ReviewThe 9th edition of this workbook is an engaging and invaluable tool for teaching students how to interpret statistics as they encounter them in articles written within the psychological, social, and health sciences. By choosing article excerpts that are sure to interest undergraduate readers, the authors may entice those many students who say they fear numbers into taking their first halting steps toward understanding. By providing clear and concise descriptions of key concepts and posing astute questions, the workbook demystifies the scientific enterprise and explains its importance for comprehending the social world. And by starting with the simplest ideas and gradually, step by step, moving toward a more complex understanding, the authors gently lead students on a learning journey that is sure to be deeply informative – and maybe even fun! -- Dan P. McAdams, the Henry Wade Rogers Professor of Psychology, Northwestern University, USA"This introduction to reading and understanding statistics is very basic and easy to understand, but at the same time it is scientifically oriented, contemporary in outlook and forward looking in methodology. It points students in exactly the right direction, emphasizing meaningful interpretation of scientific results over recitation of cookbook formulas. Students will come away with the tools they need for comprehending graphical analysis, effect size, and statistical power." -- Eric Turkheimer, PhD, Hugh Scott Hamilton Professor, Department of Psychology, University of Virginia, USAThe ninth edition of this workbook is an engaging and invaluable tool for teaching students how to interpret statistics as they encounter them in articles written within the psychological, social, and health sciences. By choosing article excerpts that are sure to interest undergraduate readers, the authors may entice those many students who say they fear numbers into taking their first halting steps toward understanding. By providing clear and concise descriptions of key concepts and posing astute questions, the workbook demystifies the scientific enterprise and explains its importance for comprehending the social world. And by starting with the simplest ideas and gradually, step by step, moving toward a more complex understanding, the authors gently lead students on a learning journey that is sure to be deeply informative – and maybe even fun! -- Dan P. McAdams, the Henry Wade Rogers Professor of Psychology, Northwestern University, USA"This introduction to reading and understanding statistics is very basic and easy to understand, but at the same time it is scientifically oriented, contemporary in outlook and forward looking in methodology. It points students in exactly the right direction, emphasizing meaningful interpretation of scientific results over recitation of cookbook formulas. Students will come away with the tools they need for comprehending graphical analysis, effect size, and statistical power." -- Eric Turkheimer, PhD, Hugh Scott Hamilton Professor, Department of Psychology, University of Virginia, USATable of Contents1. Basic Descriptions of the Data: Measurement and Frequency 2. Describing the Data 3. Displaying Data: Visualizing What is There 4. Finding Relationships: Association and Prediction 5. Group Differences with Normal Distributions 6. Nonparametric Tests for Group Differences 7. Test Construction
£171.00
CRC Press The Reliability of Generating Data
Book SynopsisAll data are the result of human actions whether by experimentations, observations, or declarations. As such, the presumption of knowing what data are about is subject to imperfections that can affect the validity of research efforts. With calls for data-based research comes the need to assure the reliability of generated data. The reliability of converting texts into analyzable data has become a burning issue in several areas. However, this issue has been met by only a few limited, and sometimes misleading measures of the extent to which data can be trusted as surrogates of the phenomena of analytical interests. The statistic proposed by the author â Krippendorffâs Alpha â is widely used in the social sciences, not only where human judgements are involved but also where measurements are compared. The Reliability of Generating Data expands on the authorâs seminal work in content analysis and develops methods for assessing the reliability of the kind Table of ContentsHow I became interested in reliability issues. 1. On the epistemology of reliable data. 2. Simplest kinds: The replicability of categorizing predefined units. 3. Some properties of the Alpha. 4. Alpha compared with primarily nominal agreement measures. 5. Metric differences between single-valued units.6. The quadrilogy for single-valued predefined units and big data. 7. Multi-valued coding of predefined units.8. Partitioning continua and coding relevant segments. 9. Preserving the coherency of identified segments in continua. 10. Distinctions drawn within continua. 11. Text mining and information retrieval. 12. Diagnostic devices and remedial actions. 13. Some special applications. 14. Statistical considerations. 15. Reliability standards. 16. Toward a general calculus of differences and agreements. Appendix. References
£99.75
Taylor & Francis Categories in Social Interaction
Book SynopsisThis book investigates the situated (re)production of categories, from the most mundane and unremarkable to those most strongly associated with power and privilege. By examining the reciprocal relationships between categorial phenomena and the basic structures and practices of social interaction, the book provides a new framework for integrating conversation analysis and membership categorization analysis.Across its ten chapters, the book describes a conversation analytic approach to studying categories and categorization, charts the development and history of membership categorization analysis, and addresses core methodological challenges and practices associated with using this approach. After mapping out the new framework developed in the book, each chapter describes intersections between categorial phenomena and the domains that comprise the infrastructure of social interaction. The book concludes by exploring applications, interventions, and impacts of understanding cate
£37.99
Taylor & Francis Ltd Applications of Regression for Categorical
Book SynopsisThis book covers the main models within the GLM (i.e., logistic, Poisson, negative binomial, ordinal, and multinomial). For each model, estimations, interpretations, model fit, diagnostics, and how to convey results graphically are provided. There is a focus on graphic displays of results as these are a core strength of using R for statistical analysis. Many in the social sciences are transitioning away from using Stata, SPSS and SAS, to using R, and this book uses statistical models which are relevant to the social sciences. Social Science Applications of Regression for Categorical Outcomes Using R will be useful for graduate students in the social sciences who are looking to expand their statistical knowledge, and for Quantitative social scientists due to it's ability to act as a practitioners guide. Key Features: Applied- in the sense that we will provide code that others can easily adapt Flexible- R is basically just a fancy Table of Contents1. Introduction 2. Introduction to R Studio and Packages 3. Overview of OLS Regression and Introduction to the General Linear Model 4. Describing Categorical Variables and Some Useful Tests of Association 5. Regression for Binary Outcomes 6. Regression for Binary Outcomes – Moderation and Squared Terms 7. Regression for Ordinal Outcomes 8. Regression for Nominal Outcomes 9. Regression for Count Outcomes 10. Additional Outcome Types 11. Special Topics: Comparing Between Models and Missing Data
£139.50
Routledge Statistical Concepts
a huge range and FREE tracked UK delivery on ALL orders.
£59.39
Cambridge University Press Dynamic Testing The Nature and Measurement of
Book SynopsisThe goal of this book is to present and evaluate the concept of dynamic testing. Unlike 'static' tests such as the SAT or IQ tests, dynamic testing emphasizes learning potential rather than past learning accomplishments. The book opens with a theoretical framework of abilities as forms of developing expertise. It then continues with an introduction to dynamic testing and then a capsule history of dynamic testing. The book also reviews the approaches of Feuerstein and Budoff and other diverse approaches to dynamic testing. The Drs Sternberg and Grigorenko present their own three-prong approach to dynamic testing along with two case studies using dynamic testing in their own research. The authors conclude that dynamic testing has enormous potential which has not yet been tapped.Trade Review"...a valuable book for school psychologists interested in understanding more about dynamic testing of abilities and the progress in the area in the last two decades. It is a thorough, readable, and thoughtful summary of the area." School Psychology Quarterly"...written by two of the world's leading authorities on he assessment of human abilities and intelligence...extremely important." APA Review of Books"Strongly grounded in theory, this book affords an in-depth look at the foundation, current research, and application of dynamic testing. Cognitive psychologists, educators interested in measurement and evaluation issues, and individuals involved in special education will find this a comprehensive and useful volume. Highly recommended." ChoiceTable of ContentsPart I. Theoretical Framework: 1. Abilities as forms of developing expertise; Part II. The Nature of Dynamic Testing: 2. An introduction to dynamic testing; 3. A capsule history of dynamic testing; Part III. Leading Modern Approaches to Dynamic Testing: 4. The approach of Feuerstein; 5. The approach of Budoff; 6. Diverse approaches to dynamic testing; 7. A three-prong approach to dynamic testing; Part IV. Two Case Studies using Dynamic Testing: 8. Using dynamic testing to reveal hidden potential; 9. Combining instruction with assessment: measuring foreign-language learning ability; 10. Measurement aspects of dynamic testing: quantifying change; Epilogue.
£38.99
Taylor & Francis Inc Methodological Issues in Aging Research
Book SynopsisMethodological Issues in Aging Research is the first volume in the Notre Dame Series on Quantitative Methodology. This new series provides practical training on the latest quantitative methods used in social and behavioral research. Each volume features contributions from leading experts in state-of-the-art techniques applicable to a selected substantive topic.The first series volume provides researchers with innovative techniques for the collection and analyses of data focusing on aging and lifespan development. The book addresses such techniques as structural equation modeling, latent class analysis, hierarchical linear growth curve modeling, dynamical systems analysis, multivariate Rasch models, survival analysis, multilevel modeling, and quantitative genetic methods. These new techniques provide: better estimates of the direct effect of environmental or treatment effects and the dynamic pattern of genetic and environmental influences on adult development <Trade Review "The illustrative chapters of current methods for studying age change in Bergeman and Boker's 'Methodological Issues in Aging Research' exemplify the quantum leap that developmental methods have taken in the last 40 years.... one can appreciate the welcome benefits and scientific advances these new methods bring with them."—PsycCRITIQUES "The illustrative chapters of current methods for studying age change in Bergeman and Boker's 'Methodological Issues in Aging Research' exemplify the quantum leap that developmental methods have taken in the last 40 years.... one can appreciate the welcome benefits and scientific advances these new methods bring with them."—PsycCRITIQUES Table of ContentsContents: C.S. Bergeman, S.M. Boker, Preface. J.R. Nesselroade, Quantitative Modeling in Adult Development and Aging: Reflections and Projections. C.S. Bergeman, K.A. Wallace, The Theory-Methods Interface. J.J. McArdle, F. Hamagami, Longitudinal Tests of Dynamic Hypotheses on Intellectual Abilities Measured Over Sixty Years. P.J. Curran, D.J. Bauer, M.T. Willoughby, Testing and Probing Interactions in Hierarchical Linear Growth Models. C. Johnson, S.W. Raudenbush, A Repeated Measures, Multilevel Rasch Model With Application to Self-Reported Criminal Behavior. C. Schuster, Latent-Class Analysis Approaches to Determining the Reliability of Nominal Classifications: A Comparison Between the Response-Error and the Target-Type Approach. S.M. Boker, T.L. Bisconti, Dynamical Systems Modeling in Aging Research. M.J. Wenger, C. Schuster, L.E. Petersen, R.C. Petersen, Applying Proportional Hazards Models to Response Time Data. M.C. Neale, S.M. Boker, C.S. Bergeman, H.H. Maes, The Utility of Genetically Informative Data in the Study of Development.
£45.59
Duke University Press Materiality
Book SynopsisA collection of essays rethinking the current uses of material culture study in anthropology, including engagements with art, science, and technology.Trade Review“A milestone collection. Of all of the recent works on material culture available, this is the one that exposes the complete range of perspectives and theoretical strategies that the most noted scholars are trying out and the interdisciplinary connections and alliances that are shaping the field.”—George Marcus, Rice University“There have been many recent stabs at the idea of materiality. With both authority and intellectual generosity, these anthropologists and their colleagues take us beyond ‘things’ and ‘objects’ to ask about concrete presences, qualities, surfaces, and the formation of phenomena. A magisterial and highly original collection.”—Marilyn Strathern, University of Cambridge“This is first-class scholarship: lively, consequential, engaging, informed, and lucid. Daniel Miller and his colleagues explore—with imagination, ethnographic insight, and remarkable clarity—a range of related issues central to current debates within and beyond cultural anthropology.”—Donald Brenneis, University of California, Santa CruzTable of ContentsMateriality: An Introduction / Daniel Miller 1 Objects in the Mirror Appear Closer Than They Are / Lynn Meskell 51 A Materialist Approach to Materiality / Michael Rowlands 72 Some Properties of Art and Culture: Ontologies of the Image and Economies of Exchange / Fred Myers 88 Sticky Subjects and Sticky Objects: The Substance of African Christian Healing / Matthew Engelke 118 Does Money Matter? Abstraction and Substitution in Alternative Financial Forms / Bill Maurer 140 The Materiality of Finance Theory / Hirokazu Miyazaki 165 Signs Are Not the Garb of Meaning: On the Social Analysis of Material Things / Webb Keane 182 Materiality and Cognition: The Changing Face of Things / Susanne Kuchler 206 Beyond Meditation: Three New Material Registers and Their Consequences / Nigel Thrift 231 Things Happen: Or, From Which Moment Does That Object Come? / Christopher Pinney 256 Contributors 273 Index 277
£25.19
Saint Philip Street Press Theoretical and Practical Advances in
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£44.06
Saint Philip Street Press Theoretical and Practical Advances in
Book Synopsis
£47.66
Taylor & Francis Ltd The Generic Qualitative Approach to a Dissertation in the Social Sciences
Book SynopsisThe Generic Qualitative Approach to a Dissertation in the Social Sciences: A Step by Step Guide is a practical guide for the graduate students and faculty planning and executing a generic qualitative dissertation in the social sciences. Generic qualitative research is a methodology that seeks to understand human experience by taking a qualitative stance and using qualitative procedures. Based on Sandra Kostere and Kim Kostere's experiences of serving on dissertation committees, this book aims to demystify both the nuances and the procedures of qualitative research, with the aim of empowering students to conduct meaningful dissertation research and present findings that are rigorous, credible, and trustworthy. It examines the fundamental principles and assumptions underlying the generic qualitative method, then covers each stage of the research process including creation of research questions, interviews, and then offers three ways of analyzing the data gathered and presentiTable of Contents1. Beginning the Journey 2. The Research Question 3. Research Plan 4. Preparing for the Interview 5. Other Qualitative Data Collection Methods 6. Data Analysis 7. Presentation of the Data 8. Completing the Journey
£20.80
Taylor & Francis Ltd Social Media Analytics in Predicting Consumer
Book SynopsisInformation is very important for businesses. Businesses that use information correctly are successful while those that don't, decline. Social media is an important source of data. This data brings us to social media analytics. Surveys are no longer the only way to hear the voice of consumers. With the data obtained from social media platforms, businesses can devise marketing strategies. It provides a better understanding consumer behavior. As consumers are at the center of all business activities, it is unrealistic to succeed without understanding consumption patterns. Social media analytics is useful, especially for marketers. Marketers can evaluate the data to make strategic marketing plans. Social media analytics and consumer behavior are two important issues that need to be addressed together. The book differs in that it handles social media analytics from a different perspective. It is planned that social media analytics will be discussed in detail in terms of consumer Table of ContentsThe Concept of Social Media. Social Media Marketing. Formulating a Social Media Strategy . Introduction to Social Media Analytics. Social Media Analytics in Consumer Behavior. Social Media Actions Analytics. Measuring Web Site Performance with Web Analytics. Mobile Analytics. Ethics and Social Media Analytics.
£128.25
CRC Press Introduction to Regression Methods for Public
Book Synopsis
£85.49
Taylor & Francis Making Sense of Statistics
Book SynopsisMaking Sense of Statistics, Eighth Edition, is the ideal introduction to the concepts of descriptive and inferential statistics for students undertaking their first research project. It presents each statistical concept in a series of short steps, then uses worked examples and exercises to enable students to apply their own learning.It focuses on presenting the why, as well as the how of statistical concepts, rather than computations and formulas. As such, it is suitable for students from all disciplines regardless of mathematical background. Only statistical techniques that are almost universally included in introductory statistics courses, and widely reported in journals, have been included. This conceptual book is useful for all study levels, from undergraduate to doctoral level across disciplines. Once students understand and feel comfortable with the statistics presented in this book, they should find it easy to master additional statistical concepts.Table of ContentsIntroduction: What is Research?; Part A: The Research Context 1. The Empirical Approach to Knowledge 2. Types of Empirical Research 3. Scales of Measurement 4. Descriptive, Correlational, and Inferential Statistics; Part B: Sampling 5. Introduction to Sampling 6. Variations on Random Sampling 7. Sample Size 8. Standard Error of Mean and Central Limit Theorem; Part C: Descriptive Statistics 9. Frequencies, Percentages, and Proportions 10. Shapes of Distributions 11. The Mean: An Average 12. Mean, Median, and Mode 13. Range and Interquartile Range 14. Standard Deviation 15. Z Score; Part D: Correlational Statistics 16. Correlation 17. Pearson r 18. Scattergram 19. Coefficient of Determination 20. Multiple Correlation; Part E: Inferential Statistics 21. Introduction to Null Hypothesis 22. Decisions About the Null Hypothesis 23. Limits of Significance Testing and Practical Implications; Part F: Means Comparison 24. Introduction to the t Test 25. Independent Samples t Test 26. Dependent Samples t Test 27. One Sample t Test 28. Reporting the Results of t Tests: Display of Outcomes 29. One-Way ANOVA 30. Two-Way ANOVA; Part G: Predictive Significance 31. Chi-Square 32. Effect Size 33. Simple and Multiple Linear Regressions; Appendix A. Computations Appendix B. Notes on Interpreting Pearson r and Linear Regression Appendix C. Table of Random Numbers
£118.75
Taylor & Francis Ltd Making Sense of Statistics
Book SynopsisMaking Sense of Statistics, Eighth Edition, is the ideal introduction to the concepts of descriptive and inferential statistics for students undertaking their first research project. It presents each statistical concept in a series of short steps, then uses worked examples and exercises to enable students to apply their own learning.It focuses on presenting the why, as well as the how of statistical concepts, rather than computations and formulas. As such, it is suitable for students from all disciplines regardless of mathematical background. Only statistical techniques that are almost universally included in introductory statistics courses, and widely reported in journals, have been included. This conceptual book is useful for all study levels, from undergraduate to doctoral level across disciplines. Once students understand and feel comfortable with the statistics presented in this book, they should find it easy to master additional statistical concepts.Table of ContentsIntroduction: What is Research?; Part A: The Research Context 1. The Empirical Approach to Knowledge 2. Types of Empirical Research 3. Scales of Measurement 4. Descriptive, Correlational, and Inferential Statistics; Part B: Sampling 5. Introduction to Sampling 6. Variations on Random Sampling 7. Sample Size 8. Standard Error of Mean and Central Limit Theorem; Part C: Descriptive Statistics 9. Frequencies, Percentages, and Proportions 10. Shapes of Distributions 11. The Mean: An Average 12. Mean, Median, and Mode 13. Range and Interquartile Range 14. Standard Deviation 15. Z Score; Part D: Correlational Statistics 16. Correlation 17. Pearson r 18. Scattergram 19. Coefficient of Determination 20. Multiple Correlation; Part E: Inferential Statistics 21. Introduction to Null Hypothesis 22. Decisions About the Null Hypothesis 23. Limits of Significance Testing and Practical Implications; Part F: Means Comparison 24. Introduction to the t Test 25. Independent Samples t Test 26. Dependent Samples t Test 27. One Sample t Test 28. Reporting the Results of t Tests: Display of Outcomes 29. One-Way ANOVA 30. Two-Way ANOVA; Part G: Predictive Significance 31. Chi-Square 32. Effect Size 33. Simple and Multiple Linear Regressions; Appendix A. Computations Appendix B. Notes on Interpreting Pearson r and Linear Regression Appendix C. Table of Random Numbers
£45.59
Taylor & Francis Advanced Methods in Family Therapy Research
a huge range and FREE tracked UK delivery on ALL orders.
£40.84
Taylor & Francis Regression Basics
Book SynopsisUsing an accessible, nontechnical approach, the third edition of Regression Basics introduces readers to the fundamentals of statistical regression. Accessible to anyone with an introductory statistics background, the book draws on engaging examples using real-world data and software programs SPSS , Stata , and R to illustrate the key concepts of the least squares regression methodology.The book emphasizes the intuition of regression methodology and provides a hands-on approach, as well as helpful end-of-chapter summaries and questions to consolidate learning. This new edition has been substantially revised and enhanced, with features including the following: Fully updated to show procedures in R, SPSS , and Stata Color images and substantially revised visual presentation A suite of online resources including data sets, software instructions, and PowerPoint slides for instructors New and updated examples throughout Expanded material to help students overcome math anxiety Expanded material on multicollinearity, heteroskedasticity, and robust standard errors This well-paced book is ideal for advanced undergraduate and graduate students focusing on quantitative methods, research design, and statistical regression in the social and behavioral sciences, political science, and economics.
£48.99
Taylor & Francis Multivariate Statistics and Machine Learning
a huge range and FREE tracked UK delivery on ALL orders.
£137.75
Taylor & Francis Ltd Machine Learning Toolbox for Social Scientists
Book SynopsisMachine Learning Toolbox for Social Scientists covers predictive methods with complementary statistical tools that make it mostly self-contained. The inferential statistics is the traditional framework for most data analytics courses in social science and business fields, especially in Economics and Finance. The new organization that this book offers goes beyond standard machine learning code applications, providing intuitive backgrounds for new predictive methods that social science and business students can follow. The book also adds many other modern statistical tools complementary to predictive methods that cannot be easily found in econometrics textbooks: nonparametric methods, data exploration with predictive models, penalized regressions, model selection with sparsity, dimension reduction methods, nonparametric time-series predictions, graphical network analysis, algorithmic optimization methods, classification with imbalanced data, and many others. This book is targTable of Contents1. How We Define Machine Learning 2. Preliminaries Part 1. Formal Look at Prediction 3. Bias-Variance Tradeoff 4. Overfitting Part 2. Nonparametric Estimations 5. Parametric Estimations 6. Nonparametric Estimations - Basics 7. Smoothing 8. Nonparametric Classifier - kNN Part 3. Self-learning 9. Hyperparameter Tuning 10. Tuning in Classification 11. Classification Example Part 4. Tree-based Models 12. CART 13. Ensemble Learning 14. Ensemble Applications Part 5. SVM & Neural Networks 15. Support Vector Machines 16. Artificial Neural Networks Part 6. Penalized Regressions 17. Ridge 18. Lasso 19. Adaptive Lasso 20. Sparsity Part 7. Time Series Forecasting 21. ARIMA models 22. Grid Search for Arima 23. Time Series Embedding 24. Random Forest with Times Series 25. Recurrent Neural Networks Part 8. Dimension Reduction Methods 26. Eigenvectors and eigenvalues 27. Singular Value Decomposition 28. Rank r approximations 29. Moore-Penrose Inverse 30. Principle Component Analysis 31. Factor Analysis Part 9. Network Analysis 32. Fundamentals 33. Regularized Covariance Matrix Part 10. R Labs 34. R Lab 1 Basics 35. R Lab 2 Basics II 36. Simulations in R 37. Algorithmic Optimization 38. Imbalanced Data
£69.29
Taylor & Francis Pedagogy and Practice in Autoethnography
Book SynopsisAutoethnography Pedagogy and Practice supports and generates new insights into how autoethnography can be taught, supervised and practised by sharing the experiences and reflections of researchers from a wide range of fields and disciplines.An international cast of leading researchers provide practical examples of how autoethnography can be successfully introduced into health and human sciences curricula, showcasing examples of the power of autoethnography within and beyond academia. By privileging contributorsâ experiences within their own field of study as students, teachers, supervisors and researchers, this book explores how autoethnography can be introduced, nurtured and sustained in challenging academic environments. Each chapter considers three interrelated areas: Disciplinary Contexts, which examines autoethnographyâs impact across different fields; Relationships, which considers how to successfully manage relational and care dynamics from undergraduate through professor levels; and Ethics, which addresses the many ethical considerations that can arise across a wide range of contexts.Autoethnography Pedagogy and Practice is a book that encourages readers to engage in autoethnographic practice to create innovative, dialogical and collaborative texts that push the boundaries of polyvocality and diversity within their own disciplines. It will be of interest to researchers in Psychology, Medicine, Pharmacology, Allied Health, Nursing, Mental health, Sport and Exercise Science, Coaching, Sociology, Psychotherapy, Theatre Studies and Communication Studies.
£59.84
Taylor & Francis Understanding and Teaching Bronfenbrenners Bioecological Theory
Clarifying misinterpretations of Bronfenbrenner's bioecological theory and offering a fresh perspective, this insightful book provides practical guidance for scholars on effectively teaching Bronfenbrennerâs theory at both undergraduate and graduate levels, as well as applying it in research and practice. The book traces the evolution of Bronfenbrennerâs theory of human development, from its original ecological framework of the 1970s to the fully developed bioecological theory and the Process-Person-Context-Time (PPCT) model. Key concepts such as macrosystemic influences are clarified, and innovative adaptations like the inverse proximal process and neo-ecological theory are explored, addressing how virtual and digital contexts shape human development. The book offers adaptable strategies for applying Bronfenbrennerâs theory across a range of disciplines, demonstrating its versatility in undergraduate and graduate courses as well as in research. It includes practical t
£46.54
Taylor & Francis Heuristic Enquiries
Book Synopsis
£35.14
Taylor & Francis Chatbot Therapy
Book Synopsis
£37.99
Taylor & Francis Statistics as Principled Argument
a huge range and FREE tracked UK delivery on ALL orders.
£137.75
SAGE Publications Inc Applied Statistics I International Student
Book SynopsisApplied Statistics I:Basic Bivariate Techniques has been created from the first half of Rebecca M. Warner's popular Applied Statistics: From Bivariate Through Multivariate Techniques. 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 statisticTable of Contents1. 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
£105.62
SAGE Publications Inc Research and Evaluation in Education and
Book SynopsisIdentify, evaluate, and practice good research using Research and Evaluation in Education and Psychology: Integrating Diversity With Quantitative, Qualitative, and Mixed Methods 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 discussTrade Review"Mertens′s Research and Evaluation 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"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"Good survey text for research methods" -- Sawyer Hunley"A very good and resourceful book for training scientist-practitioners in the mental health profession." -- Allen Appiah-Boateng"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"This book provides many good examples/research studies that can be used in classroom discussions." -- Chia-Lin Tsai"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. PolushTable of ContentsChapter 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
£103.55
Taylor & Francis Ltd Organizational Interventions for Health and
Book SynopsisThis important new collection provides not only a comprehensive overview of how organizational interventions can improve health and well-being in the workplace - addressing its causes rather than the symptoms - but also the practical issues faced in their design, implementation and evaluation. Drawing on a range of case studies and empirical investigations, it is the first book to seriously examine each element of the intervention process, and to recognize the individual, group, leader and organizational factors that researchers should consider. The authors describe the various challenges to such collaborative processes, as well as the specific methods and tools that can be used in response. Each chapter offers practical, evidence-based guidance. Featuring a final section examining new directions and approaches in organizational intervention research, the book features contributions from some of the leading international researchers in the field. It will be essential rTable of ContentsIntroduction: Organizational interventions: Where we are, where we go from here? Karina Nielsen and Andrew NobletPart 1: Planning and implementing organizational interventions1. Using high-involvement Fishbone workshops to transform problem identification into tailor-made organizational interventions by Christine Ipsen, Ole Henning Sørensen, Signe Poulsen and Liv Gish2. Getting everyone on the same page: Cocreated program logic (COP) by Ulrica von Thiele Schwarz, Anne Richter and Henna Hasson3. Participatory interventions in call centres by Carolyn Axtell and David HolmanPart 2: Evaluating organizational interventions4. Valid and taken seriously? A new approach to evaluating Kaizen-inspired (and other) intervention tools by Christian Dyrlund Wåhlin-Jacobsen5. Evaluation of the Preparatory Phase of a Stress Intervention: A Case Study from the Australian Public Sector by Maureen F. Dollard and Amy Zadow6. Tricks of the trade: Practical advice from the PIPPI project for evaluating organizational interventions by Johan Simonsen AbildgaardPart 3: New directions7. Supporting participatory organizational interventions: New opportunities, roles and responsibilities for researchers and OSH professionals by Robert A. Henning, Michelle M. Robertson and Alicia G. Dugan 8. Applying an integrated approach to workplace mental health in SMEs: A case of the "too hard basket" or picking some easy wins? by Angela J. Martin and Anthony D. LaMontagne9. Supporting interventions: Enabling senior management to enhance the effectiveness of a training program for line managers by Henna Hasson, Caroline Lornudd, Ulrica von Thiele Schwarz and Anne Richter10. Leadership and Team Development to improve organizational health by Georg F. Bauer & Gregor J. JennyEpilogue: Critical reflections and the way forward Andrew Noblet and Karina Nielsen
£39.99
Taylor & Francis Ltd Writing with Clarity and Style
Book SynopsisWriting with Clarity and Style, 2nd Edition, will help you to improve your writing dramatically. The book shows you how to use dozens of classical rhetorical devices to bring power, clarity, and effectiveness to your writing. You will also learn about writing styles, authorial personas, and sentence syntax as tools to make your writing interesting and persuasive. If you want to improve the appeal and persuasion of your speeches, this is also the book for you. From strategic techniques for keeping your readers engaged as you change focus, down to the choice of just the right words and phrases for maximum impact, this book will help you develop a flexible, adaptable style for all the audiences you need to address.Each chapter now includes these sections: Style Check, discussing many elements of style, including some enhanced and revised sections Define Your Terms, asking students to uTable of ContentsIntroduction Index of Tables Chapter 1: Balance Parallelism Chiasmus Antithesis Chapter 2: Emphasis I Climax Asyndeton Polysyndeton Sentential Adverb Chapter 3: Emphasis II Irony Understatement Litotes Hyperbole Chapter 4: Transition Metabasis Procatalepsis Hypophora Chapter 5: Clarity Distinctio Exemplum Amplification Metanoia Chapter 6: Syntax I Zeugma Diazeugma Prozeugma Mesozeugma Hypozeugma Syllepsis Chapter 7: Syntax II Hyperbaton Anastrophe Appositive Parenthesis Chapter 8: Figurative Language I Simile Analogy Metaphor Catachresis Chapter 9: Figurative Language II Metonymy Synecdoche Personification Chapter 10: Figurative Language III Allusion Eponym Apostrophe Transferred Epithet Chapter 11: Restatement I Anaphora Epistrophe Simploce Chapter 12: Restatement II Anadiplosis Conduplicatio Epanalepsis Chapter 13: Restatement III Diacope Epizeuxis Antimetabole Scesis Onomaton Chapter 14: Sound Alliteration Onomatopoeia Assonance Consonance Chapter 15: Drama Rhetorical Question Aporia Apophasis Anacoluthon Chapter 16: Word Play Oxymoron Pun Anthimeria Appendix A: Blog Posting Appendix B: Business Email Appendix C: Counsellor’s Report About a Client Appendix D: Graduate School Application Essay Appendix E: Short Story Appendix F: Winston Churchill—A Speaker’s Rhetoric Index
£36.99
Taylor & Francis Ltd Quantifying Counterfactual Military History
Book SynopsisForces shaping human history are complex, but the course of history is undeniably changed on many occasions by conscious acts. These may be premeditated or responsive, calmly calculated or performed under great pressure. They may also be successful or catastrophic, but how are historians to make such judgements and appeal to evidence in support of their conclusions? Further, and crucially, how exactly are we to distinguish probable unrealized alternatives from improbable ones? This book describes some of the modern statistical techniques that can begin to answer this question, as well as some of the difficulties in doing so. Using simple, well-quantified cases drawn from military history, we claim that statistics can now help us to navigate the near-truths, the envelope around the events with which any meaningful historical analysis must deal, and to quantify the basis of such analysis. Quantifying Counterfactual Military History is intended for a general audience who are intTable of Contents1. Could History Have Been Otherwise? 2. Could the Germans Have Won the Battle of Jutland? 3. Could the Germans Have Won the Battle of Britain? 4. Could the United States Have Prevailed in Vietnam? 5. The Road to Able Archer: Counterfactual Reasoning and the Dangerous History of Nuclear Deterrence 1945–1983 6. Conclusions
£23.99
Taylor & Francis Ltd Practical Multivariate Analysis
Book SynopsisThis is the sixth edition of a popular textbook on multivariate analysis. Well-regarded for its practical and accessible approach, with excellent examples and good guidance on computing, the book is particularly popular for teaching outside statistics, i.e. in epidemiology, social science, business, etc. The sixth edition has been updated with a new chapter on data visualization, a distinction made between exploratory and confirmatory analyses and a new section on generalized estimating equations and many new updates throughout. This new edition will enable the book to continue as one of the leading textbooks in the area, particularly for non-statisticians. Key Features: Provides a comprehensive, practical and accessible introduction to multivariate analysis. Keeps mathematical details to a minimum, so particularly geared toward a non-statistical audience. Includes lots of detailed worked examples, guidance on computiTrade Review"This book is an excellent resource for students and researchers of all levels. I have used earlier editions repeatedly in data-analysis courses for advanced undergraduates and graduate students in applied fields. The level of mathematical presentation is well matched to such settings. Not only are there excellent examples from biostatistics and public health, but there are also some very good business financial examples. The new chapter on Data Visualization in the new, sixth edition will be especially useful. Overall, the book is exceptionally well written and readable."- Stanley Sclove, University of Illinois at Chicago "Editions of Practical Multivariate Analysis have been the mainstay of my graduate-level service course in applied data-analysis since 1985. It remains an extraordinary book -- packed with excellent examples, clear explanation and fine advice -- and has my highest possible recommendation. Among many reasons it remains so extraordinary, are three signaled directly in its title: it is practical rather than theoretical, analytic rather than technical, and it embodies a broader-than-usual conception of utilitarian multivariate methods. Practical Multivariate Analysis connects readily to its audience’s reality. It uses concrete research questions and real data to motivate its content, illustrated by exemplary analyses using R, SAS, SPSS and STATA. It models how complex findings can be made comprehensible to a broader community. It reaches beyond the typical spectrum of multivariate methods. It begins sensibly, discussing how multivariate data can be explored and displayed before complex analysis. Then come chapters on useful extensions to multiple regression analysis. While not usually considered “multivariate,” these latter methods connect an incoming audience to earlier acquired skills and extend them. Then follow the core chapters on “standard” multivariate methods, including canonical correlation, discriminant, principal-components, factor and cluster analyses. All are clearly presented, and then extended by excellent chapters on logistic regression, survival and log-linear analyses, and multilevel modeling, techniques that have proven useful and ubiquitous throughout social-science research.In my view, Practical Multivariate Analysis is an excellent roadmap for conducting such analyses, and a fine model for ensuring that their complex findings can be communicated successfully to others."- John B. Willett, Charles William Eliot Research Professor, Harvard University Graduate School of Education "The Practical Multivariate Analysis is a fun statistical modeling book to read. I enjoyed the rich insights the book has provided, which can only be accumulated through years of experience with the complexity in real data. It covers a large collection of statistical methods and models with a clear focus on application. Always discussing a model or method along with data examples, the book helps readers focus on important perspectives in applying the model, from choice of appropriate methods to interpretation of the results, while it still manages to maintain thetechnique details at a minimal level. Readers with different backgrounds can all benefit from this book. It is valuable for researchers who are interested in analyzing their data with classical statistical models and interpreting the results. It is a good reading for new graduates in statistics who have not had a lot of experience with real data as the book provides many importance guidance in handling real data as well as watch-out advices. It can be used by applied data scientists and serve as a resourceful reference book for experienced consultants."- Xia Wang, University of Cincinnati "The monograph belongs to the series Texts in Statistical Science and presents the sixth upgraded edition of the popular manual. It was first issued in 1984, and from that time won recognition as one of the best textbooks on the applied statistical modeling and analysis...Most of chapters of the first part of the textbook contain such subsections as “Introduction” or “Definition,” “Discussion” or “Examples,” “Summary” and “Problems”...This structure makes the book very reader-friendly written, helping to students and researchers in various fields to understand what for a statistical tool can serve, how to apply it, and to interpret computer outputs. There is not much of mathematical and statistical derivation, neither modern statistical techniques, but plenty of examples oriented to the easy “know-how” practical implementations of the classical multivariate methods."- Stan Lipovetsky, Technometrics, Vol 62"The authors wrote the sixth edition of this book for biomedical scientists, behavioural scientists, and academic researchers, who wish to perform and understand the results of multivariate statistical analyses. The book also describes when to ask for help from a statistical expert on multivariate analysis...The sixth edition has been updated with, in particular, a new chapter on data visualization, a distinction made between exploratory and confirmatory analyses, and a new section on generalized estimating equations. This new edition will enable the book to continue as one of the leading textbooks in the area, particularly for non-statisticians, since it provides a comprehensive, practical, and accessible introduction to multivariate analysis whilst keeping mathematical details to a minimum...The book is an excellent roadmap for multivariate analysis and a fine model for ensuring that complex findings can be successfully communicated in a paper."- Luca Bertolaccini, ISCB News, July 2020 "This book is an excellent resource for students and researchers of all levels. I have used earlier editions repeatedly in data-analysis courses for advanced undergraduates and graduate students in applied fields. The level of mathematical presentation is well matched to such settings. Not only are there excellent examples from biostatistics and public health, but there are also some very good business financial examples. The new chapter on Data Visualization in the new, sixth edition will be especially useful. Overall, the book is exceptionally well written and readable."- Stanley Sclove, University of Illinois at Chicago "Editions of Practical Multivariate Analysis have been the mainstay of my graduate-level service course in applied data-analysis since 1985. It remains an extraordinary book -- packed with excellent examples, clear explanation and fine advice -- and has my highest possible recommendation. Among many reasons it remains so extraordinary, are three signaled directly in its title: it is practical rather than theoretical, analytic rather than technical, and it embodies a broader-than-usual conception of utilitarian multivariate methods. Practical Multivariate Analysis connects readily to its audience’s reality. It uses concrete research questions and real data to motivate its content, illustrated by exemplary analyses using R, SAS, SPSS and STATA. It models how complex findings can be made comprehensible to a broader community. It reaches beyond the typical spectrum of multivariate methods. It begins sensibly, discussing how multivariate data can be explored and displayed before complex analysis. Then come chapters on useful extensions to multiple regression analysis. While not usually considered “multivariate,” these latter methods connect an incoming audience to earlier acquired skills and extend them. Then follow the core chapters on “standard” multivariate methods, including canonical correlation, discriminant, principal-components, factor and cluster analyses. All are clearly presented, and then extended by excellent chapters on logistic regression, survival and log-linear analyses, and multilevel modeling, techniques that have proven useful and ubiquitous throughout social-science research.In my view, Practical Multivariate Analysis is an excellent roadmap for conducting such analyses, and a fine model for ensuring that their complex findings can be communicated successfully to others."- John B. Willett, Charles William Eliot Research Professor, Harvard University Graduate School of Education "The Practical Multivariate Analysis is a fun statistical modeling book to read. I enjoyed the richinsights the book has provided, which can only be accumulated through years of experience withthe complexity in real data. It covers a large collection of statistical methods and models with aclear focus on application. Always discussing a model or method along with data examples, thebook helps readers focus on important perspectives in applying the model, from choice ofappropriate methods to interpretation of the results, while it still manages to maintain thetechnique details at a minimal level.Readers with different backgrounds can all benefit from this book. It is valuable for researcherswho are interested in analyzing their data with classical statistical models and interpreting theresults. It is a good reading for new graduates in statistics who have not had a lot of experiencewith real data as the book provides many importance guidance in handling real data as well aswatch-out advices. It can be used by applied data scientists and serve as a resourceful referencebook for experienced consultants."- Xia Wang, University of Cincinnati "The monograph belongs to the series Texts in Statistical Science and presents the sixth upgraded edition of the popular manual. It was first issued in 1984, and from that time won recognition as one of the best textbooks on the applied statistical modeling and analysis...Most of chapters of the first part of the textbook contain such subsections as “Introduction” or “Definition,” “Discussion” or “Examples,” “Summary” and “Problems”...This structure makes the book very reader-friendly written, helping to students and researchers in various fields to understand what for a statistical tool can serve, how to apply it, and to interpret computer outputs. There is not much of mathematical and statistical derivation, neither modern statistical techniques, but plenty of examples oriented to the easy “know-how” practical implementations of the classical multivariate methods."- Stan Lipovetsky, Technometrics, Vol 62 Table of ContentsPart I: Preparation for Analysis. What is Multivariate Analysis? Characterizing Data for Analysis. Preparing for Data Analysis. Data Visualization. Data Screening and Transformations. Data Visualization. Selecting Appropriate Analyses. Part II: Regression Analysis. Simple Regression and Correlation. Multiple Regression and Correlation. Variable Selection in Regression. Special Regression Topics. Discriminant analysis. Logistic Regression. Regression Analysis with Survival Data. Principal Components Analysis. Factor Analysis. Cluster Analysis. Log-Linear Analysis. Correlated Outcomes Regression.
£82.64
Guilford Publications Confirmatory Factor Analysis for Applied Research
Book SynopsisWith its emphasis on practical and conceptual aspects, rather than mathematics or formulas, this accessible book has established itself as the go-to resource on confirmatory factor analysis (CFA). Detailed, worked-through examples drawn from psychology, management, and sociology studies illustrate the procedures, pitfalls, and extensions of CFA methodology. The text shows how to formulate, program, and interpret CFA models using popular latent variable software packages (LISREL, Mplus, EQS, SAS/CALIS); understand the similarities and differences between CFA and exploratory factor analysis (EFA); and report results from a CFA study. It is filled with useful advice and tables that outline the procedures. The companion website (www.guilford.com/brown3-materials) offers data and program syntax files for most of the research examples, as well as links to CFA-related resources. New to This Edition *Updated throughout to incorporate important developments in latent variaTrade Review"Brown's writing is excellent; this book does a clearer and better job of explaining CFA concepts than any other I have read. It has had a very positive impact on the quality of applied CFA studies in the social and behavioral sciences. I will continue to use the second edition in my graduate measurement theory course; it enables my students to greatly improve the quality of their dissertation research. This is the best book I've seen for providing graduate students with the skills they need to develop and evaluate measures of psychological constructs."--G. Leonard Burns, PhD, Department of Psychology, Washington State University"I am a big fan of this book. When something goes wrong in SEM, it is almost always due to a faulty measurement model, so students need to have a thorough understanding of latent trait measurement models before learning how to evaluate structural models. That is why this book is so important. My students regularly comment on how accessible the text is. I very much like the examples of study results, which students can use as templates for their own reports. The numerically worked examples throughout are extremely helpful at demystifying the process."--Lesa Hoffman, PhD, Institute for Lifespan Studies, University of Kansas"This book occupies a unique and important position in the field. It describes the use of CFA to address a wide range of important social science research questions that are too often ignored or underdeveloped in books on structural equation modeling. The text helps readers understand the nuances of CFA in a way that is deep yet incredibly accessible. I highly recommend this book to students and experienced social scientists interested in applying this powerful approach in their research."--Noel A. Card, PhD, Department of Educational Psychology, University of Connecticut"The most comprehensive reference text on CFA for experienced researchers. Other texts typically devote a chapter or two to the subject, but Brown’s coverage is wide and deep. Frankly, what gives this book value to me is that it is a reference text that can be used for instruction. Aided by clear examples, simplified tables, and helpful visual depictions, readers easily gain an understanding of how to run popular modeling software and correctly interpret the output. Perhaps one of the finest jewels in this book is the explanation of non-positive definite matrices, the bane of LISREL users. I also find the thread throughout the book on explaining equivalent models very important."--Randall MacIntosh, PhD, Professor of Sociology, California State University, Sacramento"I highly recommend this book to colleagues and students who teach and apply structural equation modeling. The book provides an invaluable resource for applied researchers concerning concepts, procedures, and problems in CFA, as well as how to interpret and report analysis results. An especially valuable feature is the many detailed examples that are worked out in detail and presented along with syntax and output from leading software packages. The Appendices at the end of several chapters expand on many technical points the reader might fail to grasp otherwise."--James G. Anderson, PhD, Department of Sociology, Purdue University "The book does an excellent job of walking through the steps in an analysis. It is wonderfully user friendly in the way it presents each step, discusses major decisions to be made, and presents code and output. Not only do I think this is the best book out there for learning CFA, but I also think it is a fantastic way to learn introductory structural equation modeling methods."--Scott J. Peters, PhD, Department of Educational Foundations, University of Wisconsin-Whitewater "A strength of this book is the style of the author's presentation. Many important concepts are explained in plain language, rather than by mathematical formula. The book reads as though you were listening to a lecture. It provides the learner with an extensive understanding of the theory and applications of CFA. I also strongly recommend this book to practitioners who are in need of a comprehensive reference for better applications of CFA."--Akihito Kamata, PhD, Department of Education Policy and Leadership and Department of Psychology, Southern Methodist University -Very helpful tables are used to summarize each step of a method or procedure….Chapter 3 is the heart of the textbook. It is a beautiful introduction to CFA….Summaries at the beginning and end of each chapter, an extensive number of substantive examples, figures and tables, appendices, software input and output files, as well as a sophisticated structure…make each chapter very easy to follow….Provides readers with clear recommendations and guidelines of how to deal with problems as well as a comprehensive overview of the most important aspects of CFA that an applied researcher should know. Given these outstanding qualities, I strongly believe that [this text] will continue to have a strong impact on applied researchers…and graduate students. The first edition has become a benchmark textbook in the field of introductory psychometrics, and the carefully revised second edition will widen its readership and make an impact very soon.--Journal of Educational and Behavioral Statistics, 01/01/2016Table of Contentsl. Introduction Uses of Confirmatory Factor Analysis Psychometric Evaluation of Test Instruments Construct Validation Method Effects Measurement Invariance Evaluation Why a Book on CFA? Coverage of the Book Other Considerations Summary 2. The Common Factor Model and Exploratory Factor Analysis Overview of the Common Factor Model Procedures of EFA Factor Extraction Factor Selection Factor Rotation Factor Scores Summary 3. Introduction to CFA Similarities and Differences of EFA and CFA Common Factor Model Standardized and Unstandardized Solutions Indicator Cross-Loadings/Model Parsimony Unique Variances Model Comparison Purposes and Advantages of CFA Parameters of a CFA Model Fu
£55.09
Guilford Publications Handbook of Mindfulness First Edition
Book SynopsisAn authoritative handbook, this volume offers both a comprehensive review of the current science of mindfulness and a guide to its ongoing evolution. Leading scholars explore mindfulness in the context of contemporary psychological theories of attention, perceptual processing, motivation, and behavior, as well as within a rich cross-disciplinary dialogue with the contemplative traditions. After surveying basic research from neurobiological, cognitive, emotional/affective, and interpersonal perspectives, the book delves into applications of mindfulness practice in healthy and clinical populations, reviewing a growing evidence base. Examined are interventions for behavioral and emotion dysregulation disorders, depression, anxiety, and addictions, and for physical health conditions.Trade Review"Although psychologists were 2,500 years late to recognize the benefits of mindfulness, behavioral scientists and practitioners have made immense strides in understanding this important process. Drawing from work across the domains of psychology, this volume examines the psychological processes that underlie mindfulness, comprehensively reviews basic research, and describes mindfulness-based interventions for specific populations. The book makes an exceptional contribution as it summarizes the current state of knowledge, offers ideas for future research, and paves the way toward even more effective interventions."--Mark R. Leary, PhD, Department of Psychology and Neuroscience, Duke University "With the exponential growth of mindfulness science over the past 30 years, this book offers a timely and inclusive snapshot of how we now define mindfulness and how it might work, the ways it integrates with current psychological theory, and how it is being applied to help improve well-being and reduce suffering. For clinicians and researchers newly interested in mindfulness, this book will provide a thorough review. For those with more experience in this area, too, the volume will most certainly provide refreshing insights and perspectives."--Mark A. Lau, PhD, Vancouver CBT Center and Department of Psychiatry, University of British Columbia, Canada "Finally, the most comprehensive work on mindfulness! This handbook sums up the current state of the research and clinical applications and offers insightful discussions of multiple aspects of mindfulness. The chapters are written in a clear and interesting fashion by highly respected experts. This is useful reading for advanced students in psychology and cognitive sciences as well as health care professionals, and will be 'unputdownable' for anyone interested in learning more about mindfulness. I wholeheartedly recommend this excellent book."--Britta Hölzel, PhD, Harvard Medical School/Massachusetts General Hospital and Department of Neuroradiology, Technical University of Munich, Germany "The mindfulness literature is growing so fast that keeping up can seem impossible. This volume helps tremendously. Ancient Buddhist teachings and their relationship to contemporary Western scientific approaches are thoughtfully discussed. Theoretical viewpoints, measurement issues, and basic research findings on the brain, cognition, and emotion are covered in depth, as are mindfulness-based interventions for healthy individuals and those with mental and physical health problems. This is an outstanding volume from a distinguished group of contributors."--Ruth A. Baer, PhD, Department of Psychology, University of Kentucky "A welcome and needed addition to the burgeoning literature of mindfulness. Readers get a solid grasp of the historical roots and current applications of mindfulness and are introduced to psychological models--both well established and more recent--that provide a context for understanding the effects of contemplative practices on body, brain, and mind. Various levels of analysis are provided, including neurobiological, cognitive, affective and psychological perspectives. The emphasis on empirical research and reasoned argument will make this volume an invaluable text for graduate-level courses."--Tony Toneatto, PhD, Department of Psychiatry, University of Toronto, Canada -This is one of the most thorough books on mindfulness to date that I am aware of, with relevant and essential input of well-respected experts. It is a valued contribution, which summarizes not only the current state of knowledge, but provides some useful ideas for the next steps in mindfulness research.--Private Practice, 7/1/2016ƒƒ[The] Handbook of Mindfulness: Theory, Research, and Practice is an easy read that is tailored to those who are novices in exploring this timely topic. It would be most helpful to researchers who wish to have a compact volume that summarizes all aspects of the state of the art of meditation for mental health professionals….Because of the breadth examined, it would be an excellent choice for a textbook….Supervising clinicians who wish to quickly access common terms, themes, and clinical applications related to meditation as well as overviews of common mindfulness-based therapies would be satisfied. Content would be readable for trainees from the practicum to postdoctoral level of these well written and relatively brief 'meta-analyses' of sorts.--PsycCRITIQUES, 9/28/2015ƒƒThis book appears to be a major feat in the industry…seldom does one see something this complete, detailed, well balanced by the editors, informative, solid, and reliable in not pandering to the spiritual, but rather in answering the questions it set out to address: the nature of the theory, research, and practice of mindful interventions. It belongs on your shelf.--Metapsychology Online Reviews, 8/18/2015ƒƒImpressive….Highly recommended. Graduate students, researchers, professionals.--Choice Reviews, 8/1/2015Table of Contents1. Introduction: The Evolution of Mindfulness Science, Kirk Warren Brown, J. David Creswell, & Richard M. RyanI. Historical and Conceptual Overview of Mindfulness 2. Buddhist Conceptualizations of Mindfulness, Rupert Gethin 3. Developing Attention and Decreasing Affective Bias: Toward a Cross-Cultural Cognitive Science of Mindfulness, Jake H. Davis & Evan Thompson 4. Reconceptualizing Mindfulness: The Psychological Principles of Attending in Mindfulness Practice and Their Role in Well-Being, James CarmodyII. Mindfulness in the Context of Contemporary Psychological Theory 5. Mindfulness in the Context of the Attention System, Yi Yuan Tang & Michael I. Posner 6. Mindfulness in the Context of Processing Mode Theory, Edward R.Watkins 7. Being Aware and Functioning Fully: Mindfulness and Interest-Taking within Self-Determination Theory, Edward L. Deci, Richard M. Ryan, Patricia P. Schultz, & Christopher P. Niemiec 8. Mindfulness in Contextual Cognitive-Behavioral Models, Thomas G. Szabo, Douglas M. Long, Matthieu Villatte & Steven C. HayesIII. Basic Science of Mindfulness 9. From Conceptualization to Operationalization of Mindfulness, Jordan T. Quaglia, Kirk Warren Brown, Emily K. Lindsay, J. David Creswell, & Robert J. Goodman 10. The Neurobiology of Mindfulness Meditation, Fadel Zeidan 11. Cognitive Benefits of Mindfulness Meditation, Marieke K. van Vugt 12. Emotional Benefits of Mindfulness, Joanna J. Arch & Lauren N. Landy 13. The Science of Presence: A Central Mediator of the Interpersonal Benefits of Mindfulness, Suzanne C. Parker, Benjamin W. Nelson, Elissa S. Epel, Daniel J. Siegel 14. Did the Buddha Have a Self?: No-Self, Self, and Mindfulness in Buddhist Thought and Western Psychologies, Richard M. Ryan & C. Scott RigbyIV. Mindfulness Interventions for Healthy Populations 15. Mindfulness-Based Stress Reduction for Healthy Stressed Adults, Shauna L. Shapiro & Hooria Jazaieri 16. Mindfulness Training for Children and Adolescents: A State-of-the-Science Review, David S. Black 17. Mindfulness Training to Enhance Positive Functioning, Kirk Warren BrownV. Mindfulness Interventions for Clinical Populations 18. Mindfulness Interventions for Emotional Dysregulation Disorders: From Self-Control to Self-Regulation, Thomas R. Lynch, Sophie A. Lazarus, & Jennifer S. Cheavens 19. Mindfulness-Based Cognitive Therapy for Chronic Depression, Julie Anne Irving, Norman A. S.Farb, & Zindel V. Segal 20. Mindfulness in the Treatment of Anxiety, Sarah A. Hayes-Skelton & Lauren P. Wadsworth 21. A Mindfulness-Based Approach to Addiction, Sarah Bowen, Cassandra Vieten, Katie Witkiewitz, & Haley Douglas 22. Mindfulness-Based Interventions for Physical Conditions: A Selective Review, Linda E. Carlson 23. Biological Pathways Linking Mindfulness with Health, J. David Creswell
£43.69
Guilford Publications Attachment
Book SynopsisThe ongoing growth of attachment research has given rise to new perspectives on classic theoretical questions as well as fruitful new debates. This unique book identifies nine central questions facing the field and invites leading authorities to address them in 46 succinct chapters. Multiple perspectives are presented on what constitutes an attachment relationship, the best ways to measure attachment security, how internal working models operate, the importance of early attachment relationships for later behavior, challenges in cross-cultural research, how attachment-based interventions work, and more. The concluding chapter by the editors delineates points of convergence and divergence among the contributions and distills important implications for future theory and research.Trade Review"This book will prove richly rewarding to those already deeply steeped in attachment theory, research, clinical intervention, and even public policy, as well as those new to the subject. It could serve as a primary text for a graduate psychology class. The book comprises brief chapters by developmental, social, biological, and clinical psychologists who both embrace and critique attachment theory and research. It provides deep insight into such fundamental issues as conceptualization and measurement of attachment security across the life course, determinants and consequences of variation in security/insecurity and attachment state of mind, and underlying neurobiology. Classical and cutting-edge research is masterfully reported and evaluated in an effort to move the field in an interdisciplinary lifespan direction. This volume is an intellectual feast--enjoy the meal!"--Jay Belsky, PhD, Robert M. and Natalie Reid Dorn Professor, Program in Human Development, University of California, Davis "This is a volume of extraordinary importance for our knowledge about attachment relationships in human development, and for the application of that knowledge in systems across the lifespan and across societies. It could not be more timely as an incisive update on attachment research, which over the past decade has expanded and has been increasingly extended into neuroscience and education. Many fields will no doubt benefit from the rich insights provided by these chapters. I have no doubt that this landmark volume will be a standard reference for years to come."--Robert C. Pianta, PhD, Novartis US Foundation Professor of Education and Dean, School of Education and Human Development, University of Virginia "This is one of the more important books on attachment theory of the last few decades. Thompson, Simpson, and Berlin have brought together a who’s who of attachment scholars to confront nine fundamental issues. Several innovations make this a standout volume--among them, the mix of senior and emerging scholars, which leads to fresh perspectives on crucial questions, and the focused, concise chapter format. This book will serve to stimulate ideas in those familiar with the field and will be an excellent text for graduate courses on research and theory in developmental psychology."--Megan R. Gunnar, PhD, Regents Professor, Institute of Child Development, University of Minnesota "Attachment theory has grown continuously, with increasing relevance for theoretical, clinical, research, and public policy domains. Thompson, Simpson, and Berlin, together with their excellent contributors, have produced a volume of immeasurable significance. Chapters assess where the field of attachment currently stands and consider perspectives for the future. I highly recommend this comprehensive work to educators, researchers, and clinicians interested in early development."--Joy D. Osofsky, PhD, Paul J. Ramsay Endowed Chair of Psychiatry and Barbara Lemann Professor of Child Welfare, Louisiana State University Health Sciences Center "As one who has been reading and teaching and conducting research on attachment for 30-plus years, I cannot overstate this book's timeliness or value. This is exactly the book that the attachment field needs right now! And how wonderful that this theory, which has been extraordinarily generative for more than 50 years, still offers so many important questions to be explored. It was such a good idea to ask both seasoned and emerging scholars to collaborate in tackling the most fundamental questions. The editors certainly got the questions right--and the responses are penetrating and thought provoking. Every chapter is tightly focused and concise, making the book an ideal text for courses on attachment and related topics at both the graduate and advanced undergraduate levels. I am continually asked by friends and colleagues outside this area what they should read about attachment. This is the book I will be recommending!"--Cindy Hazan, PhD, Department of Psychology, Cornell University-Table of Contents1. Attachment Theory in the Twenty-First Century: Introduction to the Volume, Ross A. Thompson, Jeffry A. Simpson, & Lisa J. Berlin - TOPIC 1: Defining Attachment and Attachment Security 2. Attachment as a Relationship Construct, L. Alan Sroufe 3. What Kinds of Relationships Count as Attachment Relationships?, R. Pasco Fearon & Carlo Schuengel 4. Attachment to Child Care Providers, Lieselotte Ahnert 5. Defining Attachment Relationships and Attachment Security from a Personality–Social Perspective on Adult Attachment, Phillip R. Shaver & Mario Mikulincer 6. The Nature and Developmental Origins of Attachment Security in Adulthood, Deborah Jacobvitz & Nancy Hazen 7. Casting a Wider Net: Parents, Pair Bonds, and Other Attachment Partners in Adulthood, Ashleigh I. Aviles & Debra Zeifman - TOPIC 2: Measuring the Security of Attachment 8. Categorical Assessments of Attachment: On the Ontological Relevance of Group Membership, Howard Steele & Miriam Steele 9. Categorical or Dimensional Measures of Attachment?: Insights from Factor Analytic and Taxometric Research, K. Lee Raby, R. Chris Fraley, & Glenn I. Roisman 10. Representational Measures of Attachment: A Secure Base Script Perspective, Theodore Waters 11. Measuring the Security of Attachment in Adults: Narrative Assessments and Self-Report Questionnaires, Judith A. Crowell 12. Priming Approaches, Omri Gillath & Ting Ai - TOPIC 3: The Nature and Function of Internal Working Models 13. In the Service of Protection from Threat: Attachment and Internal Working Models, Jude Cassidy 14. From Internal Working Models to Script-Like Attachment Representations, Harriet S. Waters, Theodore E. A. Waters, & Everett Waters 15. Parental Insightfulness and Parent–Child Emotion Dialogues: Shaping Children's Internal Working Models, David Oppenheim & Nina Koren-Karie 16. Internal Working Models as Developing Representations, Ross A. Thompson 17. A Functional Account of Multiple Internal Working Models: Flexibility in Ranking, Structure and Content across Contexts and Time, Yuthika U. Girme & Nickola C. Overall - TOPIC 4: Stability and Change in the Security of Attachment 18. The Consistency of Attachment Security across Time and Relationships, R. Chris Fraley & Keely A. Dugan 19. Stability and Change in Attachment Security, Cathryn Booth-LaForce & Glenn I. Roisman 20. Beyond Stability: Toward Understanding the Development of Attachment beyond Childhood, Joseph Allen 21. Stability and Change in Adult Romantic Relationship Attachment Styles, Ramona L. Paetzold, W. Steven Rholes, & Tiffany George 22. Change in Adult Attachment Insecurity from an Interdependence Theory Perspective, Ximena B. Arriaga & Madoka Kumashiro - TOPIC 5: The Continuing Influence of Early Attachment 23. The Legacy of Early Attachments: Past, Present, Future, Glenn I. Roisman & Ashley M. Groh 24. Attachment Security and Disorganization: Etched on the Brain?, Marinus H. van IJzendoorn, Anne Tharner, & Marian J. Bakermans-Kranenburg 25. Early Attachment and Later Physical Health, Katie B. Ehrlich & Jude Cassidy 26. The Continuing Influence of Early Attachment Orientations Viewed from a Personality–Social Perspective on Adult Attachment, Mario Mikulincer & Philip R. Shaver 27. Early Attachment from the Perspective of Life History Theory, Ohad Szepsenwol & Jeffry A. Simpson - TOPIC 6: Culture and Attachment 28. Attachment Theory: Fact or Fancy?, Heidi Keller 29. Pluralities and Commonalities in Children's Relationships: Care of Efe Forager Infants as a Case Study, Gilda Morelli & Linxi Lu 30. Attachment Theory's Universality Claims: Asking Different Questions, Judi Mesman 31. Attachment in the Context of Human Adaptation, James Chisholm - TOPIC 7: Separation and Loss 32. Losing a Parent in Early Childhood: The Impact of Disrupted Attachment, Ann Chu & Alicia F. Lieberman 33. Attachment, Loss, and Grief Viewed from a Personality–Social Perspective on Adult Attachment, Philip R. Shaver & Mario Mikulincer 34. The Psychological and Biological Correlates of Separation and Loss, David A. Sbarra & Antina Manvelian 35. Breaking the Marital Ties That Bind: Divorce from a Spousal Attachment Figure, Brooke C. Feeney & Joan K. Moin 36. Normal and Pathological Mourning: Attachment Processes in the Development of Prolonged Grief, Fiona Maccallum - TOPIC 8: Attachment-Based interventions 37. Attachment-Based Interventions to Promote Secure Attachment in Children, Marian Bakermans-Kranenburg & Mirjam Oosterman 38. Mechanisms of Attachment-Based Intervention Effects on Child Outcomes, Mary Dozier & Kristin Bernard 39. Attachment-Based Intervention Processes in Disordered Parent–Child Relationships, Sheree L. Toth, Michelle E. Alto, & Jennifer Warmingham 40. Therapeutic Mechanisms in Attachment-Informed Psychotherapy with Adults, Alessandro Talia & Jeremy Holmes 41. Attachment Principles as a Guide to Therapeutic Change: The Example of Emotionally Focused Therapy, Susan M. Johnson - TOPIC 9: Attachment, Systems, and Services 42. Attachment and Child Care, Margaret Tresch Owen & Cynthia A. Frosch 43. Attachment and Early Childhood Education Systems in the United States, Bridget K. Hamre & Amanda P. Williford 44. An Attachment Theory Approach to Parental Separation, Divorce, and Child Custody, Michael E. Lamb 45. Attachment and Child Protective Systems, Jody Todd Manly, Anna Smith, Sheree L. Toth, & Dante Cicchetti 46. Attachment and Foster Care, Charles H. Zeanah & Mary Dozier 47. Attachment and Early Home Visiting: Toward a More Perfect Union, Lisa J. Berlin, Allison West, & Brenda Jones Harden 48. Concluding Commentary: Assembling the Puzzle--Interlocking Pieces, Missing Pieces, and the Emerging Picture, Ross A. Thompson, Lisa J. Berlin, & Jeffry A. Simpson Author Index Subject Index
£47.49
Guilford Publications ReInvention
Book SynopsisFrom Patricia Leavy, a leader in arts-based research, this is the first comprehensive guide to what social fiction is and how to write it. In an engaging, personal tone, Leavy explores the unique contribution that creative writing--such as novels, series, and short stories--can make to addressing qualitative research questions. In-depth discussions of narrative models (such as the three-act structure) and elements (such as plot, metaphor, dialogue) are accompanied by excerpts from Leavy's published fiction, reflections on the writing process, and technical suggestions. The book offers evaluation criteria for social fiction as well as practical publishing advice. Instructive features include tip bubbles with additional writing hints, end-of-chapter Skill-Building and Rethink Your Research exercises, and an appendix with suggested readings.Trade Review"Everything you need to know to write social fiction is in this book. One of the best-written methods books I have ever read, it is accessible, clear, and detailed. The examples demonstrate the fiction concepts, and the pedagogical elements provide valuable advice and questions to think about in order to get a writing project started."--Sandra L. Faulkner, PhD, School of Media and Communication, Bowling Green State University "Leavy does a wonderful job of introducing social fiction. The flow and style are confident and easy. There are humorous sections that keep the reader engaged in a way that is often missing in dry academic research methods texts.”—Kenya E. Wolff, PhD, Department of Teacher Education, University of Mississippi "This book is excellent at explaining both the theory behind fiction as method and the practical 'how-tos' of doing it well. The exemplars from Leavy's own novels are instructive. Leavy's reflections on how she writes—how fiction is structured, what's going on behind the scenes—are so helpful. This book will be especially valuable for students coming from disciplines where fiction is not normally used, but where it could serve to make research accessible to a broader audience. I will use it in my own class."—Jessica Smartt Gullion, PhD, Department of Sociology, Texas Woman’s University "This text would be great as either a supplemental text or central text for any course exploring truth and fiction. It is especially powerful for thinking about truth in inquiry. This book resonates well with our work through the Feminist Research Collective."--Barbara Dennis, PhD, Department of Counseling and Educational Psychology, Indiana University-Table of Contents1. Writing as Inquiry 2. Historical and Contemporary Context for Social Fiction 3. The Method: How to Write Social Fiction 4. Traditional Three-Act Structures 5. Sequels: More on Traditional Three-Act Structures 6. Series and Open Form Structures 7. Alternative Structures 8. Short Stories 9. Practical Advice for Publishing and Evaluating Social Fiction Appendix. Recommended Reading References Index
£29.99
Guilford Publications The Unconscious
Book SynopsisWeaving together state-of-the-art research, theory, and clinical insights, this book provides a new understanding of the unconscious and its centrality in human functioning. The authors review heuristics, implicit memory, implicit learning, attribution theory, implicit motivation, automaticity, affective versus cognitive salience, embodied cognition, and clinical theories of unconscious functioning. They integrate this work with cognitive neuroscience views of the mind to create an empirically supported model of the unconscious. Arguing that widely used psychotherapies--including both psychodynamic and cognitive approaches--have not kept pace with current science, the book identifies promising directions for clinical practice.Winner--American Board and Academy of Psychoanalysis Book Prize (Theory)Trade Review“A 'must read' for anyone who wants to know how our minds and brains really work when we’re not looking. No one other than Weinberger could have pulled together this important work--no one else has spent the last 35 years working with unconscious processes both in the laboratory and the clinic, without overvaluing or devaluing either setting. Weinberger and Stoycheva synthesize the best scientific and clinical thinking about the range of unconscious processes that control our thoughts, feelings, motivation, and behavior. The authors glide effortlessly from philosophical thought on the nature of consciousness, to complex experiments in cognitive neuroscience, to provocative ideas from contemporary psychoanalysis."--Drew Westen, PhD, Department of Psychology and Department of Psychiatry and Behavioral Sciences, Emory University "What an accomplishment! Just as the scientific community approaches consensus about the ubiquity and power of unconscious processes, Weinberger and Stoycheva provide a brilliant, generous, guided tour of that landscape. The authors explore and integrate knowledge about implicit mental processes that has emerged from different intellectual traditions. This readable book belongs not only in undergraduate and graduate courses in psychology and psychiatry, but also in the curricula of all postgraduate clinical training programs."--Nancy McWilliams, PhD, ABPP, Graduate School of Applied and Professional Psychology, Rutgers, The State University of New Jersey "This impressive, authoritative book beautifully integrates the profound insights of Freudian psychology with cutting-edge research. If you have wondered about the powers and pitfalls of the human mind that lie outside of conscious, deliberate thinking, or if you are merely curious about the deep processes that produce the remarkable capacity of human thinking, this book is the place to start. It offers a thorough overview of scholarly work on the unconscious, but it goes beyond that to offer a new synthesis. This is a terrific resource for researchers, practitioners, students, and anyone else interested in the mysterious depths of the human mind."--Roy F. Baumeister, PhD, Department of Psychology, University of Queensland, Australia "Weinberger is one of the world's leading experts on the unconscious mind. He has teamed with Stoycheva to produce a contemporary review that manages to be both sweeping in its scope and illuminating in its depth. Especially valuable is their integration of psychodynamic theory and other clinical models of unconscious thought and motivation with modern cognitive psychology research on implicit memory and implicit learning. This makes the book an ideal text for cognitive science courses on conscious and unconscious human information processing, providing a more complete and historical treatment than do most contemporary texts. Advanced clinical psychology courses, as well, would profit from the coverage of therapeutic approaches and the authors' appreciation that much can be learned about the human mind and human nature from the therapy setting, in addition to rigorous laboratory research. Because the authors worked hard to describe and cover the most recent research and theoretical developments, the coverage is fresh and up to date, ensuring this book will be a trusted and useful text and resource for decades to come."--John A. Bargh, PhD, James Rowland Angell Professor of Psychology, Yale University "Weinberger and Stoycheva offer a remarkably thorough and scholarly review of the evidence on unconscious processes. Courses in academic research on affect and cognition are now a required element for PhD programs in clinical psychology, but many such courses are only peripherally relevant to clinical work. This book masterfully integrates the academic and the clinical in a way that suits the needs of both beginning graduate students and sophisticated clinicians and researchers. It is a major achievement--I learned a great deal from reading it."--Paul L. Wachtel, PhD, Distinguished Professor, Doctoral Program in Clinical Psychology, City College and the Graduate Center of the City University of New York-Table of Contents1. Introduction I. Early History of the Unconscious 2. Philosophical Precursors 3. Dynamic Psychiatry and Early Academic Psychology 4. Psychoanalysis II. Empirical Approaches to the Unconscious 5. The Beginnings of Experimental Work on Unconscious Processes 6. Unconscious Processes Move from Outcast to Mainstream 7. Empirical Tests of Unconscious Phenomena: The Effects of Subliminal Exposure 8. Attention Models Bring the Unconscious to the Mainstream 9. Unconscious Processes: From Mainstream to Central Tenet III. The Unconscious Rediscovered 10. The Normative Unconscious 11. Implicit Memory 12. Implicit Learning 13. Implicit Motivation 14. Automaticity 15. Attribution Theory 16. Affective Primacy 17. From Metaphor to Embodied Cognition IV. Computational Neuroscience and the Unconscious 18. Computational Models of the Mind 19. Massive Modularity 20. Parallel Distributed Processing 21. From Exaptation to Neural Reuse 22. A Model of the Unconscious: Theory and Implications for Psychotherapy Glossary References Index
£32.99
Guilford Publications Behavior Analysis
Book SynopsisThis is the first comprehensive volume to bridge the gap between the science of behavior and applied behavior analysis (ABA). The book demonstrates how laboratory research informs real-world interventions to facilitate behavior change, and vice versa.
£59.84
