Research methods / methodology Books
Taylor & Francis A Dictionary of Social Research Methodology
Book SynopsisThis accessible book offers a detailed guide to a wide range of methodological concepts, both those of a philosophical kind and those that are more technical in character: from constructionism to critical realism, grounded theory to regression analysis, odds ratios to triangulation.It covers quantitative, qualitative, and mixed methods research. There are shorter entries for relatively straightforward terms and longer entries for terms that are more complex or carry more than one meaning. The book includes basic terms â such as data, empirical, fact, meaning, theory, and truth â as well as those that highlight major contemporary trends in the field, such as arts-based research, indigenous methodologies, and decolonisation. It is therefore relevant to many methodological issues and controversies taught in social science degree programmes today.Providing clear definitions for a wide range of methodological concepts from across the social sciences, this is an essential re
£34.99
Taylor & Francis The Craft of the Psychodynamic Case Study
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£31.34
Taylor & Francis Navigating Issues of Equity in Schools Through
Book SynopsisThis book provides a wealth of rich cases describing how Research-Practice Partnerships (RPPs) in K-12 schools navigate equity in the design and implementation of their projects, and shares insightful recommendations for both research-side and practice-side RPP leaders engaged in this work. Chapter authors from both researcher and practitioner communities unpack real examples that illustrate how RPPs conceptualized, conducted, and shared research related to prominent equity challenges in K-12 schools. Chapters also detail specific tensions and challenges â political, methodological, relational â and how to overcome these. Presenting an equity-focused RPP framework, this important volume explores how to cultivate trusting and equitable relationships among partners, prioritize humanity and equity in the identification and articulation of a RPP project topic, center equity goals, and align methodological approaches to equity objectives. This important resource helps aspiring, new, and
£33.24
Taylor & Francis Issues of Equity
Book SynopsisIssues of Equity: Key Concepts in Qualitative Methods provides practical and theoretical tools to advance equity in qualitative research, featuring chapters on research methods, concepts, and populations. The short chapters offer guidance for researchers, students, and practitioners to conduct ethically sound and transformative qualitative research focused on diverse perspectives and social justice principles.This book covers a wide range of topics essential to equity in qualitative research. Methods like testimonio research, person-centered interviewing, black liberation research, and liberatory participatory action research provide ways to amplify marginalized voices, promote collaboration, and create knowledge grounded in participantsâ lived experiences. Key concepts such as transformative-emancipatory praxis, critical reflexivity, and counternarratives offer innovative frameworks for analyzing power dynamics in qualitative research. Chapters on research with culturally diverse populations, within the Lesbian, Gay, Bisexual, Transgender, Queer and Questioning, Intersex, Asexual, and Two-Spirit (LGBTQIA2S+) community, and through Dinà (Navajo) Philosophy and Indigenous Ways of Knowing highlight the importance of uplifting cultural identities and ways of knowing... The bookâs main findings emphasize the importance of integrating social justice principles in all phases of research, encouraging critical reflexivity, and understanding context-specific challenges to conducting equitable qualitative research studies.Aimed at qualitative researchers, students, and practitioners, the book provides practical and theoretical tools to center equity in research design, implementation, and analysis.
£37.99
Taylor & Francis Research Methods Through Puzzles
Book SynopsisDive into the world of research with this interactive puzzle book. Whether you're just starting out with research methods or looking to refresh your knowledge on the basics, this book offers a fun and engaging way to get to grips with everything research related. You'll explore key topics like variables, sampling methods, experimental design, reliability, and validityâplus so much more!With clear, easy-to-follow explanations, youâll learn how to control variables, understand different types of data, develop hypotheses, ensure reliability and validity, and choose the right statistical tests. Each concept is paired with puzzles to help you consolidate what youâve learned. And to make it even easier, every page includes a helpful audio guide to walk you through the material.This book takes a conversational approach to make learning research methods feel less intimidating, and more enjoyable! Whether you're a student or just someone interested in research, this puzzle book
£15.99
Taylor & Francis Developing Qualitative Descriptions
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£50.34
Taylor & Francis Becoming a Midwife in a Freestanding Birth Centre
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£37.99
Sage Publications Ltd Essentials of Research Methods in Education
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£28.49
Taylor & Francis A New Pluralistic Paradigm for Research
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£42.74
Taylor & Francis Advances in Interdisciplinary Research
Book SynopsisThis book explores methodologies and strategies for enhancing educational practices through interdisciplinary research and open science. Featuring global contributions, it shows how integrating diverse disciplines can drive innovation, improve teaching, and tackle modern educational challenges.The book begins by highlighting the value of interdisciplinary research, technological advancements, and innovative processes for enriching education. It includes theoretical frameworks for frontier research, practical data visualization strategies, and inclusive approaches to diversity in higher education. Readers will find discussions on knowledge transfer for social impact and guidelines for integrating equity, diversity, and inclusion in open education. It also emphasizes academic networking and personal branding, offering insights into fostering collaboration and professional development. This resource highlights both the theoretical and practical benefits of interdisciplinary rese
£47.49
Taylor & Francis Teachers Pumping in Schools
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£40.84
Taylor & Francis Making Sense of Epidemiological Research
Book SynopsisUsing clear language and real-world examples, this accessible textbook provides a concise guide to the understanding and critical evaluation of journal articles in Epidemiology.The book offers a step-by-step process, beginning with how to find epidemiologic studies on a given topic. It then shows readers how to identify and assess the key features of a studyâs design, the methods of data collection and analysis, the conclusions that can be drawn, and finally the questions that remain. Including a chapter exploring the misuse of AI, this complete companion shows students not only how to evaluate individual studies, but also to synthesize findings across multiple studies on a single topic, as well as guidance on writing a critique of a given article.Written by an experienced instructor with over 15 years of experience teaching, and including activities so that readers can practice the skills they learn, this will be essential reading for any student of Epidemiology, Public Health and Medicine.
£37.99
Taylor & Francis Research Design Using Systemic Thinking
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£60.79
Taylor & Francis Qualitative Research in Practice
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£37.99
Taylor & Francis Ltd Modernitys Critical Conscience
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£37.99
Taylor & Francis Toward a Poor Curriculum
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£40.84
CRC Press Quantitative Biology
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£47.49
SAGE Publications Inc An R Companion for Applied Statistics II
Book SynopsisAn R Companion for Applied Statistics II: Multivariable and Multivariate Techniques breaks the language of the R software down into manageable chunks in order to help students learn how to use R to analyze multivariate data. The book focuses on the statistics generally covered in an intermediate or multivariate statistics course and provides one or two ways to run each analysis in R. The book has been designed to be an R companion to Rebecca M. Warner's Applied Statistics II: Third Edition, and includes end-of-chapter instructions for replicating the examples from that book in R. However, this text can also be used as a stand-alone R guide for a multivariate statistics course, without reference to the Warner text. Datasets and scripts to run the examples are provided on an accompanying website. Table of ContentsPreface Acknowledgments About the Author CHAPTER 1 • Beyond Two Variables and Null Hypothesis Significance Testing Confidence Intervals Effect Size Meta-Analysis Chapter 1: Summary of Key Functions (AKA: Function Cheat Sheet) CHAPTER 2 • Advanced Data Screening, Outliers, and Missing Values Data Management Coding Missing Values Screening Data Chapter 2: Summary of Key Functions (AKA: Function Cheat Sheet) CHAPTER 3 • Statistical Control Including a Third Variable in Graphs Including a Third Variable Quantitatively Chapter 3: Summary of Key Functions (AKA: Function Cheat Sheet) Appendix 3: R Instructions to Accompany Warner (2020b) CHAPTER 4 • Statistical Control With Regression Analysis Visualizing Associations Between Three Variables Performing Regressions and Semipartial Correlations Chapter 4: Summary of Key Functions (AKA: Function Cheat Sheet) Appendix 4: R Instructions to Accompany Warner (2020b) CHAPTER 5 • Beyond Three Variables: Regression With Multiple Predictors Standard Regression User-Determined Regression Data-Driven Regression Chapter 5: Summary of Key Functions (AKA: Function Cheat Sheet) Appendix 5: R Instructions to Accompany Warner (2020b) CHAPTER 6 • Regression With Dummy Variables One-Way Between-Subjects Analysis of Variance (ANOVA) Regression With Dummy Variables Regression With Quantitative and Dummy Variables Chapter 6: Summary of Key Functions (AKA: Function Cheat Sheet) Appendix 6: R Instructions to Accompany Warner (2020b) CHAPTER 7 • Moderation Interactions With Categorical Predictors Interactions With a Categorical and Quantitative Predictor Interactions With Two Quantitative Predictors Interactions with a Categorical and Quantitative Predictor Interactions with Two Quantitative Predictors Chapter 7: Summary of Key Functions (AKA: Function Cheat Sheet) Appendix 7: R Instructions to Accompany Warner (2020b) CHAPTER 8 • Analysis of Covariance Checking Assumptions Performing ANCOVA Presenting Results Chapter 8: Summary of Key Functions (AKA: Function Cheat Sheet) Appendix 8: R Instructions to Accompany Warner (2020b) CHAPTER 9 • Mediation Checking Assumptions Performing Mediation Analysis Presenting Results Chapter 9: Summary of Key Functions (AKA: Function Cheat Sheet) Appendix 9: R Instructions to Accompany Warner (2020b) CHAPTER 10 • Discriminant Analysis Checking Assumptions Performing Discriminant Analysis Presenting Results Chapter 10: Summary of Key Functions (AKA: Function Cheat Sheet) Appendix 10: R Instructions to Accompany Warner (2020b) CHAPTER 11 • Multivariate Analysis of Variance Checking Assumptions Performing Multivariate Analysis of Variance Performing Factorial Multivariate Analysis of Variance Chapter 11: Summary of Key Functions (AKA: Function Cheat Sheet) Appendix 11: R Instructions to Accompany Warner (2020b) CHAPTER 12 • Exploratory Factor Analysis Performing Principal Components Analysis Performing Principal Axis Factor Analysis Chapter 12: Summary of Key Functions (AKA: Function Cheat Sheet) Appendix 12: R Instructions to Accompany Warner (2020b) CHAPTER 13 • Reliability and Validity for Multiple-Item Scales Test-Retest Reliability Factor Analysis Internal Reliability and Creating Scale Scores Chapter 13: Summary of Key Functions (AKA: Function Cheat Sheet) Appendix 13: R Instructions to Accompany Warner (2020b) CHAPTER 14 • Repeated-Measures Tests: Further Exploration Checking Assumptions One-Way Repeated-Measures Analysis of Variance Mixed Analysis of Variance Chapter 14: Summary of Key Functions (AKA: Function Cheat Sheet) Appendix 14: R Instructions to Accompany Warner (2020b) CHAPTER 15 • Brief Introduction to Latent-Variable Structural Equation Modeling Measurement Models Mediation With Latent-Variable Structural Equation Modeling Chapter 15: Summary of Key Functions (AKA: Function Cheat Sheet) Appendix 15: R Instructions to Accompany Warner (2020b) CHAPTER 16 • Binary Logistic Regression Getting Familiar With the Data Binary Logistic Regression Presenting Results Chapter 16: Summary of Key Functions (AKA: Function Cheat Sheet) Appendix 16: R Instructions to Accompany Warner (2020b) CHAPTER 17 • Additional Statistical Techniques Dealing With Time Dealing With Odd Distributions Dealing With Interdependence Concluding Thoughts References
£54.00
SAGE Publications Inc Qualitative Research Writing
Book SynopsisFinding your academic voice to tell a strong story about your research is a difficult hurdle for many qualitative writers.Qualitative Research Writing: Credible and Trustworthy Writing from Beginning to Endtakes you through the writing process, starting with how you think about your research and building towards presenting credible and trustworthy work. Authors Michelle Salmona, Dan Kaczynski, and Eli Lieber offer practical guidance based on over two decades working with faculty and doctoral students. By integrating digital tools and qualitative research steps into the writing process, readers will seamlessly move from the research process to writing. This brief text will help writers make sound arguments and develop their authorial voices to build connections between themselves and their intended audience.Trade ReviewThis book provides a detailed account of how to think about enacting the process of qualitative research for students. Beginning with the brainstorming process of writing and moving through the critical components of qual research, the book helps students new to these concepts feel more familiar with qualitative research. -- Saili KulkarniThis book provides your students with a roadmap for writing up qualitative research projects. It′s a good length and level of detail for undergraduate or early-stage graduate students. -- Andrew N. SmithChapters 7 and 8 are CRUCIAL for my students. I have to do a lot of explaining around writing up findings, discussion, and conclusion. I offer lots of examples, but these chapters put it all into easily digestible bites, with really good examples. I would definitely use these chapters – they are excellent. -- Meagan Call-CummingsThis book is a primer on how academic research writers can effectively begin, think about, and accomplish qualitative research. -- Deidra Faye JacksonThere are some helpful tips for students. For example, the tips to self-evaluate and acknowledge one′s role in the research process and to start writing even if the ideas are not clear yet are things I cover with every cohort of students I teach and are useful to include in the text. -- Aimee AdamsThis book will really help our graduate students think about writing as a process and not as a product — something they really need to understand. -- John R. Goss, IIIThe accessibility of the language and how the text focuses on leading the student through the writing process to support them in making connections between their research questions, research purpose, and data makes this book distinct from others. -- Dr. Siomonn PullaThis is a great book with detailed steps of considerations and tasks needed to complete each step of the research process. -- Carolyn SipesChallenging topics are addressed in a clear and easy-to-comprehend format. The tools and strategies shared are very useful and show the reader that there is no one right way of doing things in qualitative research. There are multiple options to choose from based on personal preferences and ways of doing things. The chapters provide a good framework to guide students and novice researchers through the process. -- Inci Yilmazli TroutTable of ContentsIntroduction Chapter 1: Thinking before writing Chapter 2: Beginning the story Chapter 3: Organizing your writing Chapter 4: Visualizing your writing Chapter 5: Writing about your research design Chapter 6: Writing about data Chapter 7: Writing up findings Chapter 8: Writing up conclusions and recommendations Chapter 9: Sharing the story of your research with others References
£33.99
SAGE Publications Inc Foundations of Inquiry
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£83.60
SAGE Publications Inc Exploring Rating Scale Functioning for Survey
Book SynopsisItems with ordered response categories are common in survey research, such as when respondents are asked how much they agree with certain statements. But how large are the differences between categories of response, and how well do they distinguish between respondents? This volume is the first to introduce the evaluation of rating scales to an audience of survey researchers. Evaluating Rating Scale Functioning for Survey Research provides researchers with an overview of rating scale analysis along with practical guidance on how to conduct such analyses with their own survey data. Author Stefanie A. Wind presents three categories of methods: Rasch models; non-Rasch Item Response Theory (IRT) models; and non-parametric models, together with practical examples. Tutorials, datasets, and software code (R and Facets) to accompany the book are available on the book's website.Trade ReviewThis book makes a valuable contribution to the field of rating scale analysis, and one that methodologists in the field of psychometrics should strongly consider. -- Mark EllicksonWind takes the complex topic of evaluating rating scales, and explains the core issues researchers must address throughout the process. -- Charles P. Kost IIThis book comprehensively covers the analytical models and techniques for rating scale analysis. The author uses plain and clear language to explain all the models, equations, and illustrations of rating scale analysis in the book. I appreciate that the author makes the data and all software scripts available. -- Yi-Hsin ChenThis book includes much good content will help students and researchers with their survey research, along with some great examples. -- Jingshun ZhangTable of ContentsChapter 1: What is Rating Scale Analysis? Chapter 2: Rasch Models for Rating Scale Analysis Chapter 3: Illustration of Rating Scale Analysis with Polytomous Rasch Models Chapter 4: Non-Rasch IRT Models for Rating Scale Analysis Chapter 5: Nonparametric Measurement Models for Rating Scale Analysis Chapter 6: Summary and Resources for Further Study
£33.99
SAGE Publications Inc The Practice of Research in Criminology and
Book SynopsisThe Practice of Research in Criminology and Criminal Justice, Eighth Edition continues to demonstrate the vital role research plays in criminal justice by integrating in-depth, real-world case studies with a comprehensive discussion of research methods. By pairing research techniques with practical examples from the field, Ronet D. Bachman and Russell K. Schutt equip students to critically evaluate and confidently conduct research. The Eighth Edition of this best-selling text covers new methods, such as visual criminology and photo voice, and expanded chapters with new sections on the importance of making sure samples, measurements, and methods are inclusive and sensitive to the diverse nature of our society. The authors refer to contemporary examples throughout, such as the increase in the use of social media, the continuing impact of the COVID-19 pandemic, mass participation in social movements including Black Lives Matter, increasing hate crimes across the globe, and increasing incidents of mass shootings in the U.S. Table of ContentsChapter 1: Science, Society, and Research Chapter 2: The Process and Problems of Research Chapter 3: Ethical Guidelines for Research Chapter 4: Conceptualization and Measurement Chapter 5: Sampling Chapter 6: Causation and Research Design Chapter 7: Experimental Designs Chapter 8: Survey Research Chapter 9: Qualitative Methods: Observing, Participating, and Listening Chapter 10: Analyzing Content: Research Using Secondary, Historical, and Comparative Data, Content Analysis, and Visual Criminology Chapter 11: Social Network Analysis Crime Mapping, and Big Data Chapter 12: Evaluation and Policy Analysis Chapter 13: Mixing and Comparing Methods Chapter 14: Analyzing Quantitative Data Chapter 15: Analyzing Qualitative Data Chapter 16: Summarizing and Reporting Research
£144.40
SAGE Publications Inc How to Conduct Surveys
Book SynopsisThe seventh edition ofHow to Conduct Surveys: A Step-by-Step Guideby Arlene Fink provides a concise and reliable resource for developing and running surveys.The seventh edition includes new information on the use of AI in surveys, social media, videoconference platforms, cultural validity, and research ethics, along with updated data and citations throughout.
£54.00
SAGE Publications Inc Interdisciplinary Research
Book SynopsisThis book offers a comprehensive, systematic presentation of the interdisciplinary research process and the theory that informs it by drawing on student and professional work from a variety of fields. Examples have been updated in the Fifth Edition so most are more contemporary, new content has been added on mixed methods and team research to respond to the needs of graduate students, and content has been revised throughout to address the current thinking on interdisciplinarity and integration, and strategies for achieving common ground as an interdisciplinary research team.
£124.52
Sage Publications Inc Ebooks Systematic Reviews in Educational Research
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£37.04
SAGE Publications Inc Developing Theory Through Qualitative Inquiry
Book SynopsisThis unique text shows researchers how to develop theories derived through qualitative inquiry. Johnny Saldaña illustrates how a theory is a research-based statement with an accompanying explicating narrative that contains six properties: concepts, propositional logic, parameters/variation, explanation/causation, generalizability/transferability, and the improvement of social life. The book features hundreds of examples of theories and metatheories from a wide range of disciplines and includes end-of-chapter activities for exercising the skills necessary to develop original theories. Just as Saldaña demystifies coding and qualitative data analysis in his bestselling Sage books, Developing Theory Through Qualitative Inquirypresents an accessible introduction to the principles and methods of theorizing for social insight.
£54.00
Sage Publications Inc Ebooks Mixed Methods Research Outside the Box
Book SynopsisAuthor Joseph A. Maxwell shows readers how to do unconventional, yet effective, mixed methods research. This text gives readers a new way to think about and combine qualitative and quantitative research.Drawing from recent works on causation and philosophy of science, this text promotes innovations in mixed methods.
£55.10
SAGE Publications Inc An Introduction to Political and Social Data
Book SynopsisAn Introduction to Political and Social Data Analysis (With R) provides students with an accessible overview of practical data analysis while also providing a gentle introduction to the R programming environment. Author Thomas M. Holbrook patiently explains each step in statistical analysis with R, avoiding complicated tools or packages.
£97.85
Cambridge University Press Research Methods for Engineers
Book SynopsisLearn how to plan for success with this hands-on guide to conducting high-quality engineering research. Plan and implement your next project for maximum impact: step-by-step instructions cover every stage in engineering research, from the identification of an appropriate research topic through to the successful presentation of results. Improve your research outcomes: discover essential tools and methods for producing high-quality, rigorous research, including statistical analysis, survey design, and optimisation techniques. Research with purpose and direction: clear explanations, real-world examples, and over 50 customisable end-of-chapter exercises, all written with the practical and ethical considerations of engineering in mind. A unique engineering perspective: written especially for engineers, and relevant across all engineering disciplines, this is the ideal book for graduate students, undergraduates, and new academics looking to launch their research careers.Table of Contents1. Introduction to engineering research; 2. Literature search and review; 3. Developing a research plan; 4. Statistical analysis; 5. Optimisation techniques; 6. Survey research methods; 7. Research presentation; 8. The path forward; Appendix A. Matlab plot functions; Appendix B. Excel plot functions.
£35.14
Cambridge University Press Interaction Models
Book SynopsisThis book is for people who are interested in formulating contextual theories and testing conditional or 'context-dependent' hypotheses using quantitative methods. Given the ubiquity of conditional relationships in the study of human behavior, scholars from across the social sciences will find something of value in this reading.Table of Contents1. Introduction; Part I. The Fundamentals: 2. Theories and their conditional implications; 3. Interaction model specification; 4. Interpreting quantities of interest: effects, predicted values and measures of uncertainty; 5. Three substantive applications: interpretation and presentation; Part II. More Complex Forms of Conditionality: 6. When we have more than one modifying variable; 7. When an independent variable interacts with itself; Part III. Interactions and Limited Dependent Variables: 8. Interactions and dichotomous dependent variables; 9. Interactions and ordered dependent variables; 10. Interactions and unordered dependent variables; Appendices.
£37.99
Cambridge University Press The Cambridge Handbook of Intelligence and
Book SynopsisThis handbook introduces the reader to the thought-provoking research on the neural foundations of human intelligence. Written for undergraduate or graduate students, practitioners, and researchers in psychology, cognitive neuroscience, and related fields, the chapters summarize research emerging from the rapidly developing neuroscience literature on human intelligence. The volume focusses on theoretical innovation and recent advances in the measurement, modelling, and characterization of the neurobiology of intelligence differences, especially from brain imaging studies. It summarizes fundamental issues in the characterization and measurement of general intelligence, and surveys multidisciplinary research consortia and large-scale data repositories for the study of general intelligence. A systematic review of neuroimaging methods for studying intelligence is provided, including structural and diffusion-weighted MRI techniques, functional MRI methods, and spectroscopic imaging of metabTrade Review'This exciting book makes an elegant case that human intelligence is not the result of a test. It is the consequence of a brain. Drawing on state-of-the-art imaging methods, the reader is afforded a comprehensive view of the substrates enabling our most valued mental abilities.' Scott T. Grafton, Bedrosian-Coyne Presidential Chair in Neuroscience and Director of the Brain Imaging Center, University of California at Santa Barbara'Our scientific understanding of human intelligence has advanced greatly over the past decade in terms of the measurement and modeling of intelligence in the human brain. This book provides an excellent analysis of current findings and theories written by top international authors. It should be recommended to students and professionals working in this field.' Sarah E. MacPherson, Senior Lecturer in Human Cognitive Neuroscience, University of Edinburgh'This handbook focuses on the brain, but also integrates genetics and cognition. Come for a comprehensive brain survey and get the bonus of a panoramic foreshadowing of integrated intelligence research and applications.' Douglas K. Detterman, Louis D. Beaumont University Professor Emeritus of Psychological Sciences, Case Western Reserve University'This handbook captures the conceptualization and measurement of intelligence, which is one of psychology's greatest achievements. It shows how the advent of modern imaging techniques and large-scale data sets have added to our knowledge about brain-environmental-ability relationships and highlights the controversy in this rapidly expanding field.' Diane F. Halpern, Professor of Psychology, Emerita, Claremont McKenna College'This handbook assembles an impressive group of pioneers and outstanding young researchers at the forefront of intelligence neuroscience. The chapters summarize the state of the field today and foreshadows what it might become.' Lars Penke, Professor of Psychology, Georg August University of Göttingen'This book is a tribute to its topic. It is intelligently assembled, spanning all aspects of intelligence research and its applications. The authors are distinguished experts, masterfully summarising the latest knowledge about intelligence obtained with cutting-edge methodology. If one wants to learn about intelligence, this is the book to read.' Yulia Kovas, Professor of Genetics and Psychology, Goldsmiths University of LondonTable of ContentsPart I. Fundamental Issues: 1. Defining and Measuring Intelligence – The Psychometrics and Neuroscience of G Thomas R. Coyle; 2. Network Neuroscience Methods for Studying Intelligence Kirsten Hilger and Olaf Sporns; 3. Imaging the Intelligence of Humans Kenia Martínez and Roberto Colom; 4. Research Consortia and Large-Scale Data Repositories for Studying Intelligence Budhachandra Khundrakpam, J B Poline, and Alan Evans; Part II. Theories, Models, and Hypotheses: 5. Evaluating the Weight of the Evidence – Cognitive Neuroscience Theories of Intelligence Matthew J. Euler and Ty L. McKinney; 6. Human Intelligence and Network Neuroscience Aron K. Barbey; 7. It's About Time – Toward a Longitudinal Cognitive Neuroscience of Intelligence Rogier A. Kievit and Ivan L. Simpson-Kent; 8. A Lifespan Perspective on the Cognitive Neuroscience of Intelligence Joseph P. Hennessee and Denise C. Park; 9. Predictive Intelligence for Learning and Optimization – Multidisciplinary Perspectives from Social, Cognitive and Affective Neuroscience Christine Ahrends, Peter Vuust, and Morten L. Kringelbach; Part III. Neuroimaging Methods and Findings: 10. Structural and Diffusion-Weighted Imaging of Intelligence Erhan Genç and Christoph Fraenz; 11. Structural Neuroimaging of Intelligence Differences Stefan Drakulich and Sherif Karama; 12. Functional Brain Imaging of Intelligence Ulrike Basten and Christian J. Fiebach; 13. An Integrated, Dynamic Functional Connectome Underlies Intelligence Jessica R. Cohen and Mark D'Esposito; 14. Biochemical Correlates of Intelligence Rex E. Jung and Marwa O. Chohan; 15. Good Sense and Good Chemistry: Neurochemical Correlates of Cognitive Performance Assessed in Vivo through Magnetic Resonance Spectroscopy Naftali Raz, Jeffrey A. Stanley; Part IV. Predictive Modeling Approaches: 16. Predicting Individual Differences in Cognitive Ability from Brain Imaging and Genetics Kevin M Anderson and Avram J Holmes; 17. Predicting Cognitive-Ability Differences from Genetic and Brain-Imaging Data Emily A. Willoughby and James J. Lee; Part V. Translating Research on the Neuroscience of Intelligence into Action: 18. Enhancing Cognition Michael I. Posner and Mary K. Rothbart; 19. Patient-Based Approaches to Understanding Intelligence and Problem-Solving Shira Cohen-Zimerman, Carola Salvi, and Jordan Grafman; 20. Implications of Biological Research on Intelligence for Education and Public Policy Kathryn Asbury and Diana Fields; 21. Vertical and Horizontal Levels of Analysis in the Study of Human Intelligence Robert J. Sternberg; 22. How Intelligence Research Can Inform Education and Public Policy Jonathan Wai and Drew H. Bailey.
£69.34
Cambridge University Press Interpreting Discrete Choice Models
Book SynopsisIn discrete choice models the relationships between the independent variables and the choice probabilities are nonlinear, depending on both the value of the particular independent variable being interpreted and the values of the other independent variables. Thus, interpreting the magnitude of the effects (the substantive effects) of the independent variables on choice behavior requires the use of additional interpretative techniques. Three common techniques for interpretation are described here: first differences, marginal effects and elasticities, and odds ratios. Concepts related to these techniques are also discussed, as well as methods to account for estimation uncertainty. Interpretation of binary logits, ordered logits, multinomial and conditional logits, and mixed discrete choice models such as mixed multinomial logits and random effects logits for panel data are covered in detail. The techniques discussed here are general, and can be applied to other models with discrete dependTable of Contents1. Introduction; 2. Accounting for Statistical Uncertainty in Estimates of Substantive Effects; 3. Substantive Effects in Binary Choice Models; 4. Substantive Effects in Ordered Choice Models; 5. Substantive Effects in Multinomial Choice Models; 6. Interpretation of Mixed Discrete Choice Models; 7. Extensions.
£17.00
John Wiley & Sons Inc Fundamentals of Statistical Reasoning in
Book SynopsisFundamentals of Statistical Reasoning in Education 4th Edition, like the first three editions, is written largely with students of education in mind. Accordingly, Theodore Coladarci and Casey D. Cobb have drawn primarily on examples and issues found in school settings, such as those having to do with instruction, learning, motivation, and assessment. The emphasis on educational applications notwithstanding, the authors are confident that readers will find Fundamentals of Statistical Reasoning in Education 4th Edition of general relevance to other disciplines in the behavioral sciences as well. The 4th Edition of Fundamentals is still designed as a one semester book. The authors intentionally sidestep topics that few introductory courses cover (e.g., factorial analysis of variance, repeated measures analysis of variance, multiple regression). At the same time, effect size and confidence intervals are incorporated throughout, which today are regarded Trade Review"This book, like the first three editions, is written largely with students of education in mind. Accordingly, the authors have drawn primarily on examples and issues found in school settings, such as those having to do with instruction, learning, motivation, and assessment. The emphasis on educational applications notwithstanding, the authors are confident that readers will find this book of general relevance to other disciplines in the behavioral sciences as well." (Zentralblatt MATH 2016)Table of ContentsChapter 1 Introduction 1 1.1 Why Statistics? 1 1.2 Descriptive Statistics 2 1.3 Inferential Statistics 3 1.4 The Role of Statistics in Educational Research 4 1.5 Variables and Their Measurement 5 1.6 Some Tips on Studying Statistics 8 PART 1 DESCRIPTIVE STATISTICS 13 Chapter 2 Frequency Distributions 14 2.1 Why Organize Data? 14 2.2 Frequency Distributions for Quantitative Variables 14 2.3 Grouped Scores 15 2.4 Some Guidelines for Forming Class Intervals 17 2.5 Constructing a Grouped-Data Frequency Distribution 18 2.6 The Relative Frequency Distribution 19 2.7 Exact Limits 21 2.8 The Cumulative Percentage Frequency Distribution 22 2.9 Percentile Ranks 23 2.10 Frequency Distributions for Qualitative Variables 25 2.11 Summary 26 Chapter 3 Graphic Representation 34 3.1 Why Graph Data? 34 3.2 Graphing Qualitative Data: The Bar Chart 34 3.3 Graphing Quantitative Data: The Histogram 35 3.4 Relative Frequency and Proportional Area 39 3.5 Characteristics of Frequency Distributions 41 3.6 The Box Plot 44 3.7 Summary 45 Chapter 4 Central Tendency 52 4.1 The Concept of Central Tendency 52 4.2 The Mode 52 4.3 The Median 53 4.4 The Arithmetic Mean 54 4.5 Central Tendency and Distribution Symmetry 57 4.6 Which Measure of Central Tendency to Use? 59 4.7 Summary 59 Chapter 5 Variability 66 5.1 Central Tendency Is Not Enough: The Importance of Variability 66 5.2 The Range 67 5.3 Variability and Deviations From the Mean 68 5.4 The Variance 69 5.5 The Standard Deviation 70 5.6 The Predominance of the Variance and Standard Deviation 71 5.7 The Standard Deviation and the Normal Distribution 72 5.8 Comparing Means of Two Distributions: The Relevance of Variability 73 5.9 In the Denominator: n Versus n −1 75 5.10 Summary 76 Chapter 6 Normal Distributions and Standard Scores 81 6.1 A Little History: Sir Francis Galton and the Normal Curve 81 6.2 Properties of the Normal Curve 82 6.3 More on the Standard Deviation and the Normal Distribution 82 6.4 z Scores 84 6.5 The Normal Curve Table 87 6.6 Finding Area When the Score Is Known 88 6.7 Reversing the Process: Finding Scores When the Area Is Known 91 6.8 Comparing Scores From Different Distributions 93 6.9 Interpreting Effect Size 94 6.10 Percentile Ranks and the Normal Distribution 96 6.11 Other Standard Scores 97 6.12 Standard Scores Do Not “Normalize” a Distribution 98 6.13 The Normal Curve and Probability 98 6.14 Summary 99 Chapter 7 Correlation 106 7.1 The Concept of Association 106 7.2 Bivariate Distributions and Scatterplots 106 7.3 The Covariance 111 7.4 The Pearson r 117 7.5 Computation of r: The Calculating Formula 118 7.6 Correlation and Causation 120 7.7 Factors Influencing Pearson r 122 7.8 Judging the Strength of Association: r2 125 7.9 Other Correlation Coefficients 127 7.10 Summary 127 Chapter 8 Regression and Prediction 134 8.1 Correlation Versus Prediction 134 8.2 Determining the Line of Best Fit 135 8.3 The Regression Equation in Terms of Raw Scores 138 8.4 Interpreting the Raw-Score Slope 141 8.5 The Regression Equation in Terms of z Scores 141 8.6 Some Insights Regarding Correlation and Prediction 142 8.7 Regression and Sums of Squares 145 8.8 Residuals and Unexplained Variation 147 8.9 Measuring the Margin of Prediction Error: The Standard Error of Estimate 148 8.10 Correlation and Causality (Revisited) 152 8.11 Summary 153 PART 2 INFERENTIAL STATISTICS 163 Chapter 9 Probability and Probability Distributions 164 9.1 Statistical Inference: Accounting for Chance in Sample Results 164 9.2 Probability: The Study of Chance 165 9.3 Definition of Probability 166 9.4 Probability Distributions 168 9.5 The OR/addition Rule 169 9.6 The AND/Multiplication Rule 171 9.7 The Normal Curve as a Probability Distribution 172 9.8 “So What?”—Probability Distributions as the Basis for Statistical Inference 174 9.9 Summary 175 Chapter 10 Sampling Distributions 179 10.1 From Coins to Means 179 10.2 Samples and Populations 180 10.3 Statistics and Parameters 181 10.4 Random Sampling Model 181 10.5 Random Sampling in Practice 183 10.6 Sampling Distributions of Means 184 10.7 Characteristics of a Sampling Distribution of Means 185 10.8 Using a Sampling Distribution of Means to Determine Probabilities 188 10.9 The Importance of Sample Size (n) 191 10.10 Generality of the Concept of a Sampling Distribution 193 10.11 Summary 193 Chapter 11 Testing Statistical Hypotheses About μ When σ Is Known: The One-Sample z Test 199 11.1 Testing a Hypothesis About μ: Does “Homeschooling” Make a Difference? 199 11.2 Dr. Meyer’s Problem in a Nutshell 200 11.3 The Statistical Hypotheses: H0 and H1 201 11.4 The Test Statistic z 202 11.5 The Probability of the Test Statistic: The p Value 203 11.6 The Decision Criterion: Level of Significance (α) 204 11.7 The Level of Significance and Decision Error 207 11.8 The Nature and Role of H0 and H1 209 11.9 Rejection Versus Retention of H0 209 11.10 Statistical Significance Versus Importance 210 11.11 Directional and Nondirectional Alternative Hypotheses 212 11.12 The Substantive Versus the Statistical 214 11.13 Summary 215 Chapter 12 Estimation 222 12.1 Hypothesis Testing Versus Estimation 222 12.2 Point Estimation Versus Interval Estimation 223 12.3 Constructing an Interval Estimate of μ 224 12.4 Interval Width and Level of Confidence 226 12.5 Interval Width and Sample Size 227 12.6 Interval Estimation and Hypothesis Testing 228 12.7 Advantages of Interval Estimation 230 12.8 Summary 230 Chapter 13 Testing Statistical Hypotheses About μ When σ Is Not Known: The One-Sample t Test 235 13.1 Reality: σ Often Is Unknown 235 13.2 Estimating the Standard Error of the Mean 236 13.3 The Test Statistic t 237 13.4 Degrees of Freedom 238 13.5 The Sampling Distribution of Student’s t 239 13.6 An Application of Student’s t 242 13.7 Assumption of Population Normality 244 13.8 Levels of Significance Versus p Values 244 13.9 Constructing a Confidence Interval for μ When σ Is Not Known 246 13.10 Summary 247 Chapter 14 Comparing the Means of Two Populations: Independent Samples 253 14.1 From One Mu (μ) to Two 253 14.2 Statistical Hypotheses 254 14.3 The Sampling Distribution of Differences Between Means 255 14.4 Estimating σx̄1-x̄2 257 14.5 The t Test for Two Independent Samples 259 14.6 Testing Hypotheses About Two Independent Means: An Example 260 14.7 Interval Estimation of μ1 − μ2 262 14.8 Appraising the Magnitude of a Difference: Measures of Effect Size for − 264 14.9 How Were Groups Formed? The Role of Randomization 268 14.10 Statistical Inferences and Nonstatistical Generalizations 269 14.11 Summary 270 Chapter 15 Comparing the Means of Dependent Samples 278 15.1 The Meaning of “Dependent” 278 15.2 Standard Error of the Difference Between Dependent Means 279 15.3 Degrees of Freedom 281 15.4 The t Test for Two Dependent Samples 281 15.5 Testing Hypotheses About Two Dependent Means: An Example 283 15.6 Interval Estimation of μD 286 15.7 Summary 287 Chapter 16 Comparing the Means of Three or More Independent Samples: One-Way Analysis of Variance 294 16.1 Comparing More Than Two Groups: Why Not Multiplet Tests? 294 16.2 The Statistical Hypotheses in One-Way ANOVA 295 16.3 The Logic of One-Way ANOVA: An Overview 296 16.4 Alison’s Reply to Gregory 299 16.5 Partitioning the Sums of Squares 300 16.6 Within-Groups and Between- Groups Variance Estimates 303 16.7 The F Test 304 16.8 Tukey’s “HSD” Test 306 16.9 Interval Estimation of μi − μj 308 16.10 One-Way ANOVA: Summarizing the Steps 309 16.11 Estimating the Strength of the Treatment Effect: Effect Size (ω2) 311 16.12 ANOVA Assumptions (and Other Considerations) 312 16.13 Summary 313 Chapter 17 Inferences about the Pearson Correlation Coefficient 322 17.1 From μ to ρ 322 17.2 The Sampling Distribution of r When ρ = 0 322 17.3 Testing the Statistical Hypothesis That ρ = 0 324 17.4 An Example 324 17.5 In Brief: Student’s t Distribution and the Regression Slope (b) 326 17.6 Table E 326 17.7 The Role of n in the Statistical Significance of r 328 17.8 Statistical Significance Versus Importance (Again) 329 17.9 Testing Hypotheses Other Than ρ = 0 329 17.10 Interval Estimation of ρ 330 17.11 Summary 332 Chapter 18 Making Inferences From Frequency Data 338 18.1 Frequency Data Versus Score Data 338 18.2 A Problem Involving Frequencies: The One-Variable Case 339 18.3 χ2: A Measure of Discrepancy Between Expected and Observed Frequencies 340 18.4 The Sampling Distribution of χ2 341 18.5 Completion of the Voter Survey Problem: The χ2 Goodness-of-Fit Test 343 18.6 The χ2 Test of a Single Proportion 344 18.7 Interval Estimate of a Single Proportion 345 18.8 When There Are Two Variables: The χ2 Test of Independence 347 18.9 Finding Expected Frequencies in the Two-Variable Case 348 18.10 Calculating the Two-Variable χ2 350 18.11 The χ2 Test of Independence: Summarizing the Steps 351 18.12 The 2 × 2 Contingency Table 352 18.13 Testing a Difference Between Two Proportions 353 18.14 The Independence of Observations 353 18.15 χ2 and Quantitative Variables 354 18.16 Other Considerations 355 18.17 Summary 355 Chapter 19 Statistical “Power” (and How to Increase It) 363 19.1 The Power of a Statistical Test 363 19.2 Power and Type II Error 364 19.3 Effect Size (Revisited) 365 19.4 Factors Affecting Power: The Effect Size 366 19.5 Factors Affecting Power: Sample Size 367 19.6 Additional Factors Affecting Power 368 19.7 Significance Versus Importance 369 19.8 Selecting an Appropriate Sample Size 370 19.9 Summary 373 Epilogue A Note on (Almost) Assumption-Free Tests 379 References 380 Appendix A Review of Basic Mathematics 382 A.1 Introduction 382 A.2 Symbols and Their Meaning 382 A.3 Arithmetic Operations Involving Positive and Negative Numbers 383 A.4 Squares and Square Roots 383 A.5 Fractions 384 A.6 Operations Involving Parentheses 385 A.7 Approximate Numbers, Computational Accuracy, and Rounding 386 Appendix B Answers to Selected End-of-Chapter Problems 387 Appendix C Statistical Tables 408 Glossary 421 Index 427 Useful Formulas 433
£72.86
Taylor & Francis Ltd Visual Phenomenology
Book SynopsisThis volumethe second in Max Van Manen's Phenomenology of Practice seriesbrings together personal narrative, human research methodology, and an extensive knowledge of aesthetic discourse to redefine the sublime in terms of direct and immediate experience. Erika Goble first traces the concept's origin and development in Western philosophy, revealing how efforts to theorize aesthetic quality in axiomatic or objective frameworks fail to account for the variety of experiential paradoxes that can be evoked by a single image. She then examines several first-person descriptions of encounters with the sublime in order to reflect on a series of questions that have escaped aesthetic philosophy so far: What makes an experience uniquely sublime? What does this experience reveal about the human phenomenon of sublimity when it is evoked by an image? What does the experience of the sublime reveal about ourselves as being in the world with images? Goble's book is a corrective to the rampant philosoTrade Review"This engaging and original book reveals whole new dimensions of the experiences of the sublime. It will captivate art critics, philosophers, and laymen alike." - Alphonso Lingis, Professor Emeritus of Philosophy at Pennsylvania State UniversityTable of ContentsContents:1) An Introduction to the Sublimity of Images 2) The Flight of Icarus: The Sublime as Awe & Terror 3) The Tate’s Blue Butterflies: The Sublime as the Experience of the Exquisite & the Monstrous 4) The Raw Appeal of a Figure with Meat: The Sublime as the Experience of Horror & Delight5) The Challenge of Doubting Thomas: The Sublime as the Experience of Clarity & Mystery6) On a Starry Night like this, I would like to Die: The Sublime as Existence & Inexistence7) Sublimity and the Image 8) Pedagogy and the Sublime Image 9) References
£43.99
Taylor & Francis Ltd Rethinking Research in the Art Museum
Book SynopsisRethinking Research in the Art Museum presents an original and radical perspective on how research can function as an agent of change in art museums today. The book analyses a range of art organisations and draws on numerous interviews with museum professionals to outline the limitations of existing models of museum research.Arguing for a more democratic formulation in tune with the current needs and ambitions of the art institution, Emily Pringle puts forward a framework for practitioner-led, co-produced research that redefines how knowledge is created in the museum. Recognising that museums today negotiate multiple agendas, the book outlines the value of constructing the art museum professional as a practitioner researcher and their work as a mode of practice-based research, be they educators, archivists, curators or conservators. Locating these arguments within the framework of new museology, critical pedagogy, professional and organisational studies and episTrade Review"In this provocative and timely study, Emily Pringle presents a powerful critique of deeply entrenched ways of thinking about research and knowledge creation within cultural institutions. Her original and insightful analysis reveals the enormous, largely untapped potential for practitioners working across the art museum to harness the power of collaborative research to foster radical and progressive change within their organisations." - Richard Sandell, Professor of Museum Studies, University of Leicester, UK"In this provocative and timely study, Emily Pringle presents a powerful critique of deeply entrenched ways of thinking about research and knowledge creation within cultural institutions. Her original and insightful analysis reveals the enormous, largely untapped potential for practitioners working across the art museum to harness the power of collaborative research to foster radical and progressive change within their organisations." - Richard Sandell, Professor of Museum Studies, University of Leicester, UK"As a museum practitioner and researcher myself, I found this book very worthwhile. In my own experience, I have observed the divide between formalized research and day-to-day professional practice. This book stimulated me to ask questions of myself and my institution, and gave me a clear structure within which to consider the new research possibilities that arose in response to these." - Esther McNaughton, The Suter Art Gallery Te Aratoi o Whakatū Table of ContentsList of figures; List of tables; List of interviewees; Preface; Acknowledgements; 1 An introduction: who creates the knowledge and defines the reality?; 2 Why is research in art museums confusing and how can we make it less so?; 3 The practitioner researcher in the art museum; 4 Building practice as research in the art museum: Tate Learning as a case study; 5 Co-researching with community members, academics and visitors; 6 Fostering a culture where the practitioner researcher can thrive: Knowle West Media Centre as a case study; 7 Constructing an expanded framework for research in the art museum: moving from the exotic animal to the household pet; Afterword; Bibliography; Index
£37.99
Taylor & Francis Ltd Poetic Inquiry
Book SynopsisPoetic Inquiry: Craft, Method and Practice examines the use of poetry as a form of qualitative research, representation, and method used by researchers, practitioners, and students from across the social sciences and humanities. It serves as a practical manual for using poetry in qualitative research through the presentation of varied examples of Poetic Inquiry. It provides how-to exercises for developing and using poetry as a qualitative research method.The book begins by mapping out what doing and critiquing Poetic Inquiry entails via a discussion of the power of poetry, poets', and researchers' goals for the use of poetry, and the kinds of projects that are best suited for Poetic Inquiry. It also provides descriptions of the process and craft of creating Poetic Inquiry, and suggestions for how to evaluate and engage with Poetic Inquiry. The book further contends with questions of method, process, and craft from poets' and researchers' perspectives. It shows the imTrade ReviewI can think of no better guide than Sandra Faulkner to walk alongside you to explore the possibilities and power of poetry in qualitative research practice. This updated version of her book Poetry as Method provides exemplars of her own Poetic Inquiry and points to many more in this small but growing and vibrant field of arts-based research. I will recommend this book to my colleagues and graduate students, and will return to it myself when in need of inspiration. Dr. Monica Prendergast, Professor, University of Victoria, co-editor of Poetic Inquiry and Poetic Inquiry IISandra L. Faulkner has done it again, written a book that is a true gift to the research community. Poetic Inquiry: Craft, Method, and Practice is a beautifully rendered, all-encompassing guide to using Poetic Inquiry in qualitative or arts-based research. Faulkner makes a persuasive case for the place of Poetic Inquiry in research across the social sciences and humanities and offers detailed methodological instruction, robust examples, and practical assistance including how-to exercises. I absolutely love this book! I will be pulling it off my bookshelf often. It is a must-read for researchers, professors, students, writers, and anyone interested in artful approaches to research. It would also make an outstanding classroom text in qualitative, arts-based, or creative writing courses. I highly recommend this outstanding text.Patricia Leavy, PhD, author of Method Meets Art and SparkFaulkner’s in-depth, nuanced and extremely important treatment of Poetic Inquiry is a balm to those who have poetic sensibilities and who have expanded their vision of what research could and might be. Faulkner’s own commitment to the form provides encouragement, and will inspire others to take the leap! Michelle Reale, author of Inquiry and ResearchSandra Faulkner's follow-up to her seminal work, Poetry as Method, is a comprehensive overview of both the theory, method, and praxis of doing poetry as research, written in the clear, succinct voice of a feminist, poet-researcher passionate about poetry as art, teaching others how to create it and using poetry as a social justice tool to change the world one poem at a time.Mary E. Weems, PhD, author of Blackeyed: Plays and MonologuesRich and hearty. Come to this book hungry to improve your thinking about Poetic Inquiry. Come to this book hungry to improve the listening and writing practices that matter. Faulkner has proven – in a scholarly sense – why poetry matters as a research form and tool. She does this in both a complex, well-cited way and an accessible way. And then come the examples, the how-to, the what-to-try, the robust fodder for your future art-and-service making, and you can just gather it all up. Revel in the pleasure and utility of it. Truly a gift.Kimberly Dark, sociologist, writer, raconteur, and author of Love and Errors and The Daddies"‘Poetic Inquiry’ is rich, full,an essential explorationof arts-science entanglement,a reflexive, creative field map.This essential exploration,Faulkner’s provocation to imaginea reflexive, creative field map,crafts critical challenge to staid epistemologies."tandfonline.com"In reading the book, I was struck by a sense of Faulkner’s collaborative spirit: a generosity of sharing the experiences as poetic inquirer she has gained along the way. She encourages the reader to enhance their suppleness through writing exercises. She is invitational, welcoming potential poet-researchers to “join the conversation, and to further your Poetic Inquiry.”"Sarah Penwarden, Laidlaw College, Auckland, New ZealandTable of ContentsList of IllustrationsPrefaceAcknowledgementsThe BookChapter 1. The Power of PoetryChapter 2. Poetry as MethodChapter 3. Concern with Craft: The Question of Poetic CriteriaChapter 4. Exercising the Poetry MuscleReferences
£39.99
Taylor & Francis Ltd Research Methods in Public Administration and
Book SynopsisNow in a thoroughly revised and refreshed fourth edition, Research Methods in Public Administration and Nonprofit Management is beloved by student and professors alike for its exceptional clarity, accessibility, and plentiful illustrations. This new edition integrates quantitative, qualitative, and mixed methods approaches, as well as specific up-to-date instruction in the use of statistical software programs such as Excel and SPSS. Changes to this edition include: A new section, featuring two new chapters, to explore mixed methods approaches to research, including fundamentals, research design, data collection, and analyzing and interpreting findings A new, dedicated chapter on Big Data research Updated exhibits and examples throughout the book A new companion website to accompany the book containing PowerPoint slides for each chapter New tables, figures, and exercises, as well asTable of ContentsPart 1. Research Fundamentals 1. Introduction to Research Methods 2. Research Ethics. Doing the Right Thing 3. Public Administration Research 4. Research in Nonprofit Organizations 5. The Eight-Step Research Process 6. Selecting a Research Topic 7. Choosing a Research Design 8. How to Write a Research Proposal Part 2. Quantitative Research Methods 9. Fundamentals of Quantitative Research 10. Research Hypothesis Concepts 11. Hypothesis Testing Tools 12. Introduction to Sampling 13. Survey Research: Questions and Questionnaires 14. Controlling Error in Survey Research 15. Summarizing Data with Descriptive Statistics 16. Correlation and Regression Analysis 17. Introduction to Experimental Design 18. Introduction to Nonparametric Statistics 19. Introduction to Multivariate Statistics 20. Researching Very Large Datasets Part 3. Qualitative Research Methods 21. Introduction to Qualitative Research 22. Research Using Case Study Designs 23. Research Using Grounded Theory Designs 24. Research Using Ethnographic Designs 25. Empowerment and Emancipatory Research Designs 26. Critical Research. Action Research Designs 27. Research Using Feminist Designs 28. Research Using Hermeneutic Designs 29. Research Using Library and Archival Sources 30. Content, Narrative, Meta-Analysis and Semiotic Research Designs 31. Analyzing Qualitative Data Part 4. Mixed Research Methods 32. Introduction to Mixed Methods Research 33. Research with Mixed Methods Designs Part 5. Preparing and Presenting Research Findings 34. Developing Tables, Charts, and Graphs 35. Introduction to Statistics Packages 36. Writing the Research Report
£80.74
Taylor & Francis Ltd Introduction to Critical Reflection and Action
Book SynopsisIntroduction to Critical Reflection and Action for Teacher Researchers provides crucial direction for educators looking to improve their teaching and maximise learning. While many students can grasp the basic elements of researching their practice and can write about practitioner research, some need guidance and assistance to reflect meaningfully on their teaching practice so as to articulate their educational values. This book provides this guidance.By exploring how to engage in an authentic, practical and personalised framework, the book encourages critical reflection and action on educational practice. Moving through the process of reflecting on practice, engaging in critical thinking and planning and taking action, it helps the reader to subsequently generate educational theory from their own personal learning. Examples from the authors' experiences illustrate the issues raised in each section, with Pause and Reflect' activities, guidelines foTrade Review"Serving as a comprehensive overview of action research, this book pursues two threads. First, it introduces critical reflection and action research, providing a wealth of relevant concepts, while emphasizing that teachers must examine and clarify their educational values. Second, it outlines practical aspects of engaging in a first action research project... One area in which this book excels is in inviting teachers to challenge their incumbent points of view regarding teaching and learning."— James Rigney, Educational Action ResearchTable of ContentsSection One: Where To Begin?1 Pausing and Reflecting 2 What Is Action Research? Section Two: Putting Your Research In Context 3 Thinking Critically 4 Experiencing Oneself As A Living Contradiction Section Three: How Do I Evaluate Changes I Make? 5 Generating Data 6 Ethics, Rigour And Validity Section Four: The Significance of your Research7 The Teacher as an Agent of Change8 Sharing and Sustaining your Action Research Conclusion
£34.19
Bloomsbury Publishing (UK) Researching Children and Childhoods
Book Synopsis
£23.74
Bloomsbury Publishing PLC Inclusive Research
Book SynopsisFirst published Open Access under a Creative Commons license as What is Inclusive Research?, this title is now also available as part of the Bloomsbury Research Methods series.This book describes and defines inclusive research, outlining how to recognize it, understand it, do it, and know when it is done well. In doing so it addresses the areas of overlap and distinctiveness in relation to participatory, emancipatory, user-led and partnership research as well as exploring the various practices encompassed within each of these inclusive approaches. The author, Melanie Nind, focuses on how and why more inclusive approaches to research have evolved. She positions inclusive research within the key debates and shifts in policy, defines key ideas and terms, discusses the contested nature of inclusive research and illustrates a range of approaches using exemplars. The aim is to discuss the range of challenges involved and to examine the degree to which these challengTrade ReviewExcellent guide to this developing area of research. Essential for students undertaking this kind of study. * David Preece, University of Northampton, UK *Table of ContentsSeries Editor Foreword 1. Inclusive Research Defined 2. Inclusive Research as an Evolving Set of Practices 3. Stories from the Field 4. Criticisms and Defenses 5. Summary and Where Next Further Reading References Index
£18.99
Bloomsbury Publishing PLC Qualitative Interviewing
Book SynopsisFirst published Open Access under a Creative Commons license as What is Qualitative Interviewing?, this title is now also available as part of the Bloomsbury Research Methods series.This book is a step-by-step guide for new and experienced social science researchers looking to use interviews in their projects. Rosalind Edwards and Janet Holland explain a range of interview types and practices, providing real research examples as informative illustrations of qualitative interviewing in practice, and the use of a range of creative interview tools. This new and expanded edition includes:- recent developments in the radical critique of interviews debate focusing on form and content of interviews;- the strategic shift to online interviewing in response to the Covid-19 pandemic;- discussion of the decolonization of methodology and research, and the growing attention to indigenous methodologies for generating data;- an assessment of the changing landscapeTrade ReviewAn excellent introduction to qualitative interviewing. The authors are to be congratulated for contributing a reader-friendly, concise, and informative text on qualitative interviewing to the methodological literature in qualitative inquiry. With numerous examples drawn from recent research, and discussions of important current debates, students will be well-situated to design quality interview studies that are theoretically well-grounded. -- Kathryn Roulston, Professor in the Qualitative Research Program in the Mary Frances Early College of Education, University of Georgia, Athens, USAA valuable practical guide to qualitative interviewing and a deeply methodological account of qualitative research. This book is comprehensive, creative and rich in examples of qualitative interview practice. It offers a clear and accessible approach to the philosophical and epistemological choices we make and engages with on-going debates that shape qualitative research in the 21st century. -- Nick Emmel, Professor of Social Research Methodology, University of Leeds, UKProfessors Rosalind Edwards and Janet Holland provide an easily digestible introductory text for newcomers to the qualitative aspects of social research. Research can be daunting for beginners who are keen to engage in the interview process as a key method. What is Qualitative Interviewing? will no doubt provide the confidence for students to consider best practice when interviewing their participants ... A most definite must read for those plunging into their very first qualitative interviews. * Sadia Habib, The Sociological Imagination (of the first edition) *We learn, with the utmost clarity and conciseness, a great deal about the key terms, the development of the method, forms of qualitative interviewing, research tools, practical aspects of conducting an interview ... and strengths, issues and the future of qualitative interviewing ... A really successful and readable book that will help you to understand and reflect upon qualitative interviewing. * Soziologische Revue (Bloomsbury translation) (of the first edition) *Good, easy, accessible book for undergraduate teaching that fits with what I teach and signposts students well. Succinct, but not too basic either. Good introduction to qualitative interviewing. * Kaye Richards, Liverpool John Moores University, UK (of the first edition) *Table of ContentsSeries Foreword 1. Qualitative Interviews – the Key Terms 2. The Development of Qualitative Interviews 3. Forms that Qualitative Interviews can Take 4. Where Qualitative Interviews Take Place 5. Research Tools Used in Conducting Qualitative Interviews 6. The Practicalities Involved in Conducting Qualitative Interviews 7. Power and Emotional Dynamics in Qualitative Interviews 8. The Changing Landscape for Qualitative Interviewing Annotated Bibliography References Index
£17.09
Bloomsbury Publishing PLC Narrative Research
Book SynopsisFirst published Open Access under a Creative Commons license as What is Narrative Research?, this title is now also available as part of the Bloomsbury Research Methods series.Narrative research has become a catchword in the social sciences today, promising new fields of inquiry and creative solutions to persistent problems. This book brings together ideas about narrative from a variety of contexts across the social sciences and synthesizes understandings of the field. Rather than focusing on theory, it examines how narrative research is conducted and applied. It operates as a practical introductory guide, basic enough for first-time researchers, but also as a window onto the more complex questions and difficulties that all researchers in this area face. The authors guide readers through current debates about how to obtain and analyse narrative data, about the nature of narrative, the place of the researcher, the limits of researcher interpretations, and the significance
£17.09
Bloomsbury Academic Visual Methodologies and Methods for Caribbean Research
a huge range and FREE tracked UK delivery on ALL orders.
£85.50
SAGE Publications Inc First and Second Steps in Statistics
Book Synopsis'This engagingly written and nicely opinionated book is a blend of friendly introduction and concisely applicable detail. No-one can recall every statistical formula, but if they have this book they will know where to look' - Professor Jon May, University of Plymouth 'This is one of the best books I have come across for teaching introductory statistics. The illustrative examples are engaging and often humorous and the explanations of 'difficult' concepts are written in a wonderfully clear and intuitive way' - Nick Allum, University of Essex Selected as an Outstanding Academic Title by Choice Magazine, January 2010 First (and Second) Steps in Statistics, Second Edition provides a clear and concise introduction to the main statistical procedures used in the social and behavioural sciences and is perfect for the statistics student starting their journey. The rationale and procedure for analTrade Review′This engagingly written and nicely opinionated book is a blend of friendly introduction and concisely applicable detail. No-one can recall every statistical formula, but if they have this book they will know where to look′ - Professor Jon May, University of Plymouth ′This is one of the best books I have come across for teaching introductory statistics. The illustrative examples are engaging and often humorous and the explanations of ′difficult′ concepts are written in a wonderfully clear and intuitive way′ - Nick Allum, University of EssexTable of ContentsUnivariate Statistics 1: Histograms and Boxplots Univariate Statistics 2: The Mean and Standard Deviation Univariate Statistics 3: Proportions and Bar Charts Sampling and Allocation Inference and Confidence Intervals Hypothesis Testing: t tests and Alternatives Comparing More than Two Groups or More than Two Variables Regression and Correlation Factorial ANOVAs and Multiple Regression Categorical Data Analysis
£40.49
American Psychological Association Dissertations and Theses From Start to Finish
Book SynopsisDissertations and Theses From Start to Finish, now updated and revised to reflect changes to the APA''s Publication Manual, Seventh Edition! For over twenty-five years, Cone and Foster''s useful bookhas guided student writers through the practical, logistical, and emotional struggles that come with writing dissertations and theses.It offers guidance to students through all the essential steps, including: Defining topics; Selecting faculty advisors; Scheduling time to work on the project, and; Conducting, analyzing, writing, presenting, and publishing research. This third edition of this bestselling work follows new guidelines from APA''s Publication Manual, Seventh Edition, and includes questions to help steer research, checklists, diagrams, and sample research papers. It also reflects the most recent advances in online research and includes fully updated online resources.Table of Contents ForewordMitchell J. Prinstein Chapter 1: What Are Theses and Dissertations, and Why Write a Book about Them? Chapter 2: Starting Out: Assessing Your Preparation for the Task Ahead Chapter 3: Time and Trouble Management Chapter 4: Finding Topics and Faculty Collaborators Chapter 5: Formulating and Communicating Your Plans: An Overview of the Proposal Chapter 6: Reviewing the Literature Chapter 7: Research Methodology and Ethics Chapter 8: Measuring Study Variables Chapter 9: Selecting the Appropriate Data Analysis Approaches Chapter 10: Collecting, Managing, and Analyzing the Data Chapter 11: Presenting the Results Chapter 12: Discussing the Results Chapter 13: Managing Committee Meetings: Proposal and Oral Defense Chapter 14: Presenting Your Project to the World References Index About the Authors
£28.80
American Psychological Association Essentials of Discursive Psychology
Book SynopsisThis guide explains how to conduct a discursive psychology research project. Such research explores how our use of language results in specific beliefs, versions of reality, and social actions. Trade ReviewThis excellent, readily accessible book covers the key steps involved in conducting discursive psychological studies, discussing theoretical background and research design through to publication and dissemination of findings. The useful examples neatly clarify the points and decisions involved in each step. -- Professor Chris McVittie, Fellow of the American Psychological Association, Division 5, and Professor of Social Psychology, Queen Margaret University, Edinburgh, Musselburgh, ScotlandThis accessible text renders the process of doing discursive psychology transparent. McMullen leads us through the stages of discursive psychological research, using clear examples while also pointing to the possibilities, limitations, and debates associated with such research. It is appropriate for students as well as researchers interested in the analysis of language-as-used. -- H. Lorraine Radtke, PhD, Professor Emerita, Department of Psychology, University of Calgary, Calgary, Alberta, CanadaTable of ContentsSeries Foreword—Clara E. Hill and Sarah Knox 1. Conceptual Foundations of Discursive Psychology What Is Discourse, and What Is Discourse Analysis? What Is Discursive Psychology, and What Is Critical Discursive Psychology? Why Choose Discursive Psychology, and What Does This Choice Entail? What Are Some Major Components of Discursive Psychology? Deciding Whether to Use This Methodology 2. Designing a Study Stating the Topic and Engaging in Initial Searches of Literatures Framing the Research Question(s) Determining What Type of Data to Collect or Generate to Address Your Research Questions 3. Collecting and Generating Data Collecting Archival or Already Existing Data Generating Data From Interviews or Focus Groups 4. Analyzing Your Data A Process of Data Analysis Examples of Detailed Analyses of Extracts of Data Concluding Comments on Analyzing Your Data 5. Disseminating Your Research Preparing a Manuscript for Publication in a Journal Beyond the Manuscript 6. What Constitutes Good Discursive Research? Documentation Demonstration Plausibility Coherence Fruitfulness 7. Ongoing Conversations Questions of Ethics Questions Related to Conceptual Advancements and Methodological Innovations Final Thoughts Appendix A: Exemplar Studies Appendix B: Commonly Used Transcription Notations Appendix C: Examples of Discursive Devices and Resources References Index About the Author About the Series Editors
£21.84
Sage Publications Ltd Using Case Study in Education Research
Book SynopsisThis book provides an accessible introduction to using case studies. It makes sense of literature in this area, and shows how to generate collaborations and communicate findings. The authors bring together the practical and the theoretical, enabling readers to build expertise on the principles and practice of case study research, as well as engaging with possible theoretical frameworks. They also highlight the place of case study as a key component of educational research. With the help of this book, M-Level students, teacher educators and practitioner researchers will gain the confidence and skills needed to design and conduct a high quality case study. Dr Lorna Hamilton is a Senior Lecturer in Education Research at the University of Edinburgh. Dr Connie Corbett-Whittier is an Associate Professor of English and Humanities at Friends University, Topeka, Kansas. 'Drawing on a wide range of their own andTrade Review′Drawing on a wide range of their own and others′ experiences, the authors offer a comprehensive and convincing account of the value of case study in educational research. What comes across - quite passionately - is the way in which a case study approach can bring to life some of the complexities, challenges and contradictions inherent in educational settings. The book is written in a clear and lively manner and should be an invaluable resource for those teachers and students who are incorporating a case study dimension into their research work′ - Ian Menter, Professor of Teacher Education, University of Oxford ′This book is comprehensive in its coverage, yet detailed in its exposition of case study research. It is a highly interactive text with a critical edge and is a useful tool for teaching. It is of particular relevance to practitioner researchers, providing accessible guidance for reflective practice. It covers key matters such as: purposes, ethics, data analysis, technology, dissemination and communities for research. And it is a good read!′- Professor Anne Campbell, formerly of Leeds Metropolitan University ′This excellent book is a principled and theoretically informed guide to case study research design and methods for the collection, analysis and presentation of evidence′-Professor Andrew Pollard, Institute of Educaiton, University of LondonTable of ContentsPART ONE: THE CASE STUDY APPROACH IN EDUCATION RESEARCH Defining Case Study in Education Research Ideas as the Foundation for Case Study PART TWO: CHOOSING THE CASE STUDY ROUTE Key Purposes Key Decisions Ethics and Issues PART THREE: DOING A CASE STUDY Carrying out Your Study A Practitioner Perspective Approaches to Data Analysis Using Technology to Manage and Analyze Your Data PART FOUR: DISSEMINATING AND DEFENDING CASE STUDY APPROACH Finding Your Voice Sharing Case Study: Quality and Communication PART FIVE: COMMUNITY AND NETWORKING Virtual Environments and Collaborations Community Building Conclusion References Index
£36.99
Sage Publications Ltd Doing Your Education Research Project
a huge range and FREE tracked UK delivery on ALL orders.
£35.99
