Psychological methodology Books

Book SynopsisThe contributors to Explorations in Self Psychology, volume 19 of the Progress in Self Psychology series, wrestle with two interrelated questions at the nexus of contemporary discussions of technique: How authentic and relationally invested should the self psychologically informed analyst be, and what role should self-disclosure play in the treatment process?  The responses to these questions embrace the full range of clinical possibilities. Dudley and Walker argue that empathically based interpretation precludes self-disclosure whereas Miller argues in favor of authentic self-expression and against the self psychologist''s frustrating attempt to decenter from frustration or anger. Consideration of the utility of a consistently empathic stance continues with Weisel-Barth''s clinical presentation and the discussions that it elicits about management of her patient''s primary destructiveness. Lenoff''s critical rereading of Kohut''s Examination of the Relationship BetweenTable of ContentsPart I: Theory.Dudley, Walker, "To Be or Not To Be?": The Question of Authenticity, Therapist Subjectivity, and the Role of Interpretive Moments in Treatment. Lenoff, Consequences of "Empathy": Rereading Kohut's (1959) "Examination of the Relationship Between Mode of Observation and Theory." Martinez, Twinship Selfobject Experience and Homosexuality. Miller, Empathy and Self Expression: Confessions of a Sometimes Angry Self Psychologist. Ornstein, Survival and Recovery: Psychoanalytic Reflections. Rieveschl, Cowan, Selfhood and the Dance of Empathy. Shoshani, Shoshani, Psychic Survival versus Psychic Freedom: Reflections on Symington's Theory of Narcissism. Part II: Clinical. Smaller, Working with Adolescents: A Time for "Reconsideration." Stern, A Case of Sexual (Dis-)Orientation with Thoughts on Sexuality, Sexual Orientation, and Psychoanalysis. Shane, Wiesel-Barth, Aron, & Stolorow, Panel: The Role of the Relationship in the Therapeutic Process. Part III: Applied.Childs, Death in Venice: A Selfobject Perspective on Thomas Mann's Homolimerence. Elson, John Adams and Benjamin Rush Exchange Dreams. Rass, Making Contact with the Perception World of a Child: Undetected Disabilities in Sensory Motor Integration and the Effects on the Development of Self-Esteem. Schulz, Tragic Man and Narcissistic Disturbance in the Films of Ingmar Bergman. Wada, The Applicability of Self Psychology to Psychotherapy with the Elderly: With Emphasis on Twinship Selfobject Needs and Empathy as a Mode of Observation. Part IV: Personal Memoir.Goldberg, A Personal and Professional Reminiscence of Heinz Kohut.

Read more less

Book SynopsisCovering basic univariate and bivariate statistics and regression models for nominal, ordinal, and interval outcomes, Applied Statistics for the Social and Health Sciences provides graduate students in the social and health sciences with fundamental skills to estimate, interpret, and publish quantitative research using contemporary standards.Reflecting the growing importance of Big Data in the social and health sciences, this thoroughly revised and streamlined new edition covers best practice in the use of statistics in social and health sciences, draws upon new literatures and empirical examples, and highlights the importance of statistical programming, including coding, reproducibility, transparency, and open science.Key features of the book include: interweaving the teaching of statistical concepts with examples from publicly available social and health science data and literature excerpts; thoroughly integrating the teaching of statistiTrade Review "This book is a teacher’s dream. Not only does it provide a comprehensive discussion of statistics as it is actually practiced by working researchers in the social and health sciences, it also provides detailed guidance on how to carry out such analyses using Stata, one of the best available and widely used statistical packages. Finally it provides numerous examples drawn directly from the research literature. I know of no other book like it."Richard Campbell, Emeritus Professor of Public Health, University of Illinois at Chicago, USA "I taught a year-long graduate level statistics course to first year sociology, education, policy analysis and demography Ph.D. students for more than 40 years. I always pieced together material from several different textbooks, software manuals, and published articles, since no one volume met the need to provide entering graduate students with appropriate content coverage at the right difficulty level. The 2nd edition of Rachel Gordon’s book, with its excellent update, meets these needs better than any other volume I have seen."George Farkas, Distinguished Emeritus Professor of Education, University of California, Irvine, USA "I have used the first edition of Rachel Gordon’s Applied Statistics for the Social and Health Sciences in my multidisciplinary graduate-level statistics course since I began teaching it around 5 years ago. Gordon’s ability to translate complex information into practical, real-world examples that are applicable and engaging for students across the social sciences and health disciplines has helped her textbook stand out from others. The second edition enhances this even further, bringing the material fully up-to-date with recent advances, and displaying a much-needed focus on developing students’ coding skills as well as their statistical knowledge. I anticipate Gordon’s second edition becoming a standard textbook in the field for years to come."Jeffrey E. Stokes, Assistant Professor of Gerontology & Undergraduate Director of Aging Studies Program, University of Massachusetts Boston, USA "I have used—and loved—the first edition of this book for nearly a decade. However, I was thrilled to see that the new edition promises to retain the rigor and clarity of purpose of the first edition, but in a more focused and streamlined package. I look forward to adopting this book for my introductory and advanced regression courses for the next decade and beyond."Jeffrey M. Timberlake, Professor of Sociology, University of Cincinnati, USA Table of Contents Part I: Getting ready; 1 Considering Examples of Scholarly Publications Modeling Social and Health Variables; 2 Planning and Starting a Quantitative Research Project with Existing Data;; Part II: Describing the data; 3 Graphing and Summarizing Individual Variables; 4 Introducing Population Estimation and Hypothesis Testing; 5 Estimating and Testing the Association between Two Variables; ; Part III: Estimating and presenting linear regression models; 6 Introducing the Linear Regression Model with Two Continuous Variables; 7 Considering Nonlinearity and Nonconstant Variance; 8 Including Categorical Predictor Variables; 9 Including More Than One Predictor Variable in the Model; 10 Considering Interactions among Predictor Variables; ; Part IV: Estimating and presenting generalized linear models; 11 Introducing the Generalized Linear Regression Model; 12 Analyzing Dichotomous Outcomes; 13 Analyzing Multi-Category Outcomes and Offering a Roadmap to Additional Models

Read more less

Book SynopsisA Resource for Designing and Implementing Intervention Programs for At-Risk Learners This authoritative resource provides step-by-step procedures for planning, selecting, and tailoring interventions for at-risk learners with a unique focus on how to individualize interventions using actual case examples.

Read more less

Book SynopsisNow in its 4th edition, this popular and comprehensive graduate-level statistics text offers students an easy to grasp and non-intimidating approach to statistics for the non-mathematician. The text provides practical coverage of SPSS in every chapter, including screen shots, procedures, exercises, and direction on how to interpret SPSS output.Table of ContentsPreface to the Third Edition xxv Acknowledgments xxxi Part One Descriptive Statistics 1 Chapter 1 Introduction To Psychological Statistics 1 Chapter 2 Frequency Tables, Graphs, And Distributions 27 Chapter 3 Measures Of Central Tendency And Variability 57 Chapter 4 Standardized Scores And The Normal Distribution 99 Part Two One- and Two-Sample Hypothesis Tests 135 Chapter 5 Introduction to Hypothesis Testing: The One-Sample z Test 135 Chapter 6 Interval Estimation and the t Distribution 173 Chapter 7 The t Test for Two Independent Sample Means 203 Chapter 8 Statistical Power and Effect Size 237 Part Three Hypothesis Tests Involving Two Measures on Each Subject 271 Chapter 9 Linear Correlation 271 Chapter 10 Linear Regression 303 Chapter 11 The Matched t Test 337 Part Four Analysis of Variance without Repeated Measures 365 Chapter 12 One-Way Independent ANOVA 365 Chapter 13 Multiple Comparisons 407 Chapter 14 Two-Way ANOVA 451 Part Five Analysis of Variance with Repeated Measures 501 Chapter 15 Repeated Measures ANOVA 501 Chapter 16 Two-Way Mixed Design ANOVA 545 Part Six Multiple Regression and Its Connection to ANOVA 585 Chapter 17 Multiple Regression 585 Chapter 18 The Regression Approach to ANOVA 639 Part Seven Nonparametric Statistics 685 Chapter 19 The Binomial Distribution 685 Chapter 20 Chi-Square Tests 713 Appendix A Statistical Tables 743 Appendix B Answers To Selected Exercises in Sections A and B 759 Appendix C Data from IHNO's Experiment 777 References 781 Index 787

Read more less

Book SynopsisCovers the latest methodologies and research on international comparative surveys with contributions from noted experts in the field Advances in Comparative Survey Methodology examines the most recent advances in methodology and operations as well as the technical developments in international survey research. With contributions from a panel of international experts, the text includes information on the use of Big Data in concert with survey data, collecting biomarkers, the human subject regulatory environment, innovations in data collection methodology and sampling techniques, use of paradata across the survey lifecycle, metadata standards for dissemination, and new analytical techniques. This important resource: Contains contributions from key experts in their respective fields of study from around the globeHighlights innovative approaches in resource poor settings, and innovative approaches to combining survey and other dataIncludes material that is organized within the total surTable of ContentsPreface xix Notes on Contributors xxiii Section I Introduction 1 1 The Promise and Challenge of 3MC Research 3Timothy P. Johnson, Beth‐Ellen Pennell, Ineke A.L. Stoop, and Brita Dorer 2 Improving Multinational, Multiregional, and Multicultural (3MC) Comparability Using the Total Survey Error (TSE) Paradigm 13Tom W. Smith 3 Addressing Equivalence and Bias in Cross‐cultural Survey Research Within a Mixed Methods Framework 45Jose‐Luis Padilla, Isabel Benitez, and Fons J.R. van de Vijver Section II Sampling Approaches 65 4 Innovative Sample Designs Using GIS Technology 67Stephanie Eckman, Kristen Himelein, and Jill A. Dever 5 Within‐household Selection of Respondents 93Achim Koch Section III Cross‐cultural Questionnaire Design and Testing 113 6 Overview of Questionnaire Design and Testing 115Julie A.J. de Jong, Brita Dorer, Sunghee Lee, Ting Yan, and Ana Villar 7 Sensitive Questions in Comparative Surveys 139Anna V. Andreenkova and Debra Javeline 8 Implementing a Multinational Study of Questionnaire Design 161Henning Silber, Tobias H. Stark, Annelies G. Blom, and Jon A. Krosnick 9 Using Anchoring Vignettes to Correct for Differential Response Scale Usage in 3MC Surveys 181Mengyao Hu, Sunghee Lee, and Hongwei Xu 10 Conducting Cognitive Interviewing Studies to Examine Survey Question Comparability 203Kristen Miller 11 Setting Up the Cognitive Interview Task for Non‐English‐speaking Participants in the United States 227Hyunjoo Park and Patricia L. Goerman 12 Working Toward Comparable Meaning of Different Language Versions of Survey Instruments: Do Monolingual and Bilingual Cognitive Testing Respondents Help to Uncover the Same Issues? 251Patricia L. Goerman, Mikelyn Meyers, Mandy Sha, Hyunjoo Park, and Alisu Schoua‐Glusberg 13 Examining the Comparability of Behavior Coding Across Cultures 271Timothy P. Johnson, Allyson Holbrook, Young Ik Cho, Sharon Shavitt,Noel Chavez, and Saul Weiner Section IV Languages, Translation, and Adaptation 293 14 How to Choose Interview Language in Different Countries 295Anna V. Andreenkova 15 Can the Language of Survey Administration Influence Respondents’ Answers? 325Emilia Peytcheva 16 Documenting the Survey Translation and Monitoring Process 341Dorothée Behr, Steve Dept, and Elica Krajčeva 17 Preventing Differences in Translated Survey Items Using the Survey Quality Predictor 357Diana Zavala‐Rojas, Willem E. Saris, and Irmtraud N. Gallhofer Section V Mixed Mode and Mixed Methods 385 18 The Design and Implementation of Mixed‐mode Surveys 387Edith D. de Leeuw, Z. Tuba Suzer‐Gurtekin, and Joop J. Hox 19 Mixed‐mode Surveys: Design, Estimation, and Adjustment Methods 409Z. Tuba Suzer‐Gurtekin, Richard Valliant, Steven G. Heeringa,and Edith D. de Leeuw 20 Mixed Methods in a Comparative Context: Technology and New Opportunities for Social Science Research 431Nathalie E. Williams and Dirgha J. Ghimire Section VI Response Styles 455 21 Cross‐cultural Comparability of Response Patterns of Subjective Probability Questions 457Sunghee Lee, Florian Keusch, Norbert Schwarz, Mingnan Liu, and Z. Tuba Suzer‐Gurtekin 22 Response Styles in Cross‐cultural Surveys 477Mingnan Liu, Z. Tuba Suzer‐Gurtekin, Florian Keusch, and Sunghee Lee 23 Examining Translation and Respondents’ Use of Response Scales in 3MC Surveys 501Ting Yan and Mengyao Hu Section VII Data Collection Challenges and Approaches 519 24 Data Collection in Cross‐national and International Surveys:Regional Case Studies 521Kristen Cibelli Hibben, Beth‐Ellen Pennell, Sarah M. Hughes,Yu‐chieh (Jay) Lin, and Jennifer Kelley 25 Survey Data Collection in Sub‐Saharan Africa (SSA): Challenges, Strategies, and Opportunities 533Sarah M. Hughes and Yu‐chieh (Jay) Lin 26 Survey Challenges and Strategies in the Middle East and Arab Gulf Regions 555Justin Gengler, Kien Trung Le, and David Howell 27 Data Collection in Cross‐national and International Surveys: Latin America and the Caribbean 569J. Daniel Montalvo, Mitchell A. Seligson, and Elizabeth J. Zechmeister 28 Survey Research in India and China 583Charles Q. Lau, Ellen Marks, and Ashish Kumar Gupta 29 Best Practices for Panel Maintenance and Retention 597Nicole Watson, Eva Leissou, Heidi Guyer, and Mark Wooden 30 Collection of Biomeasures in a Cross‐national Setting: Experiences in SHARE 623Luzia M. Weiss, Joseph W. Sakshaug, and Axel Borsch‐Supan 31 Multinational Event History Calendar Interviewing 643Yfke P. Ongena, Marieke Haan, and Wil Dijkstra 32 Ethical Considerations in the Total Survey Error Context 665Julie A.J. de Jong 33 Linking Auxiliary Data to Survey Data: Ethical and Legal Challenges in Europe and the United States 683Kirstine Kolsrud, Linn‐Merethe Rød, and Katrine U. Segadal Section VIII Quality Control and Monitoring 705 34 Organizing and Managing Comparative Surveys 707Lesli Scott, Peter Ph. Mohler, and Kristen Cibelli Hibben 35 Case Studies on Monitoring Interviewer Behavior in International and Multinational Surveys 731Zeina Mneimneh, Lars Lyberg, Sharan Sharma, Mahesh Vyas,Dhananjay Bal Sathe, Frederic Malter, and Yasmin Altwaijri 36 New Frontiers in Detecting Data Fabrication 771Michael Robbins Section IX Nonresponse 807 37 Comparing Nonresponse and Nonresponse Biases in Multinational,Multiregional, and Multicultural Contexts 809James Wagner and Ineke A.L. Stoop 38 Geographic Correlates of Nonresponse in California: A Cultural Ecosystems Perspective 835Matt Jans, Kevin McLaughlin, Joseph Viana, David Grant, Royce Park and Ninez A. Ponce 39 Additional Languages and Representativeness 859Oliver Lipps and Michael Ochsner Section X Multi‐group Analysis 879 40 Measurement Invariance in International Large‐scale Assessments:Integrating Theory and Method 881Deana Desa, Fons J.R. van de Vijver, Ralph Carstens and Wolfram Schulz 41 Approximate Measurement Invariance 911Kimberley Lek, Daniel Oberski, Eldad Davidov, Jan Cieciuch, Daniel Seddig, and Peter Schmidt 42 Data Harmonization, Data Documentation, and Dissemination 933Peter Granda 43 Basic Principles of Survey Data Recycling 937Kazimierz M. Slomczynski and Irina Tomescu‐Dubrow 44 Survey Data Harmonization and the Quality of Data Documentation in Cross‐national Surveys 963Marta Kołczyńska and Matthew Schoene 45 Identification of Processing Errors in Cross‐national Surveys 985Olena Oleksiyenko, Ilona Wysmulek, and Anastas Vangeli 46 Item Metadata as Controls for Ex Post Harmonization of International Survey Projects 1011Marta Kołczyńska and Kazimierz M. Slomczynski 47 The Past, Present, and Future of Statistical Weights in International Survey Projects: Implications for Survey Data Harmonization 1035Marcin W. Zieliński, Przemek Powałko, and Marta Kołczyńska Section XII Looking Forward 1053 48 Prevailing Issues and the Future of Comparative Surveys 1055Lars Lyberg, Lilli Japec, and Can Tongur Wiley Series In Survey Methodology 1083 Index 1087

Read more less

Book SynopsisThe Wiley Handbook of Personality Assessment presents the state-of-the-art in the field of personality assessment, providing a perspective on emerging trends, and placing these in the context of research advances in the associated fields.Table of ContentsAbout the Editor x About the Contributors xii Foreword by Professor Irving B. Weiner xxxi Preface xxxiii Section I Emerging Conceptual Trends 1 1 Integrating Trait and Process Approaches to Personality: A Sketch of an Agenda 3Robert R. McCrae 2 Personality Assessment and Theory 19Philip J. Corr and Arthur E. Poropat 3 Situational Perception: Its Theoretical Foundation, Assessment, and Links to Personality 31Kai T. Horstmann and Matthias Ziegler 4 Temperamental Components of the Developing Personality 44James B. Victor, Mary K. Rothbart, Spencer R. Baker, and Jennifer L. Tackett 5 Integrity Tests: A Review of Alternate Conceptualizations and Some Measurement and Practical Issues 59Chockalingam Viswesvaran and Deniz S. Ones 6 Network Analysis: A New Way to Think about Personality 74Giulio Costantini and Marco Perugini 7 Theory and Measurement of Trait Emotional Intelligence 90K.V. Petrides, Alexander B. Siegling, and Donald H. Saklofske 8 Beyond IQ and EQ: The Bar‐On Multifactor Model of Performance 104Reuven Bar‐On 9 Measuring the Dark Side of Personality 119Ashton C. Southard and Virgil Zeigler‐Hill 10 Diversity and Assessment 134Joyce P. Chu, Brian A. Maruyama, Ashley Elefant, and Bruce Bongar 11 Future Directions for Personality Assessment: An African Perspective 146Sumaya Laher 12 Advances in the Use and Interpretation of the MMPI‐2 158Salazar‐Schneiderman, Caroline S. Tonetti, Lacey M. Sommers, and Roger L. Greene Section II Emerging Assessment Perspectives and Methodological Issues 173 13 Objective Personality Assessment with the MMPI‐2: An Internationally Adaptable Measure 175James N. Butcher 14 Precision Assessment: An Individualized and Temporally Dynamic Approach to Understanding Patients in their Daily Lives 192Michael J. Roche and Aaron L. Pincus 15 Are Situational Judgment Tests Better Assessments of Personality than Traditional Personality Tests in High‐Stakes Testing? 205Deborah L. Whetzel and Michael A. McDaniel 16 Alternatives to Self‐Reports: Conditional Reasoning Problems and Implicit Association Test (IAT) Based Tasks 215Zvonimir Galic,́ Andreja Bubic,́ and Maja Parmac ̌Kovacǐ ć 17 Therapeutic Assessment in Clinical and Counseling Psychology Practice 228Radhika Krishnamurthy, Stephen E. Finn, and Filippo Aschieri 18 Personality Assessment in Ecological Settings by Means of Virtual Reality 240Pietro Cipresso and Giuseppe Riva 19 The Use of the Hare Psychopathy Checklist (PCL‐R) and Rorschach Inkblot Method (RIM) in Forensic Psychological Assessment 249Carl B. Gacono, Aaron J. Kivisto, Jason M. Smith, and Ted B. Cunliffe 20 Holtzman Inkblot Technique and Personality Assessment 268C.R. Darolia 21 Integrative Treatments Come of Age: Systematic Treatment Selection (STS) 285Christopher J. Edwards, Lori Holleran, and Larry E. Beutler 22 Personality Assessment Paradigms: Issues and Challenges 302Vijay Parkash and Updesh Kumar 23 Identification and Assessment of the Correlates of Military Suicide 323Kasie L. Hummel, James Sottile, Danielle Spangler, and Bruce Bongar 24 Integrative Clinical Assessment of Sexual and Gender Minority Clients 333Whitney Bliss, Samantha Pflum, Matthew Skinta, Rylan J. Testa, Rebecca Floyd, and Peter Goldblum 25 Using the Johnson‐Neyman Procedure to Detect Item Bias in Personality Tests: A Proposed New Method andPractical Guidelines for Data Analysis 346Burak Tunca 26 User Reactions to Personality Assessment: Implications for Assessment Credibility, Utility, and Practicality 361Chris D. Fluckinger and Andrea F. Snell 27 Novel Approaches to Adjusting for Positive Response Distortion with the Personality Assessment Inventory 374John E. Kurtz, Lindsey L. Bupp, and Corinne M. Henk 28 Applicant Faking Behavior: The Elephant in the Room 387Richard L. Griffith, Patrick D. Converse, Yumiko Mochinushi, and Matthias Ziegler 29 Transforming Assessment: New Pedagogies for the Digital Age 399Swati Johar and Updesh Kumar 30 Ethical Issues in Personality Assessment 415Swati Mukherjee and Updesh Kumar Index 427

Read more less

Book SynopsisQualitative Inquiry in Neoliberal Times is written from the perspective that the scholarly lives of academics are changing, constantly in flux, and increasingly bound to the demands of the market a context in which the university has increasingly morphed into a business enterprise, one that treats students as consumers to be marketed to, education as something to be purchased, and research as something to be capitalized on for financial gain. The effects of this market-orientation of scholarly life, especially on those in the social sciences and humanities, are ones that demand serious examination. At the same time, qualitative inquiry itself is changing and evolving within and against the rhythms of this new normal'.This volume engages with these emerging debates in qualitative research over new materialism, ''data'', public policy, research ethics, public scholarship, and the corporate university in the neoliberal age. World-renowned contributors from the United STrade ReviewQualitative Inquiry in Neoliberal Times is an extremely important and necessary book in our current post-anthropocentric neoliberal condition, a circumstance in which a rhizomatic, immanent capitalism has changed everything. To quote Harry Torrance, author of chapter 5, "neo-liberalism already operates with a more sophisticated theory of change than empirical social science." The multiplicities, diversities, and unthought possibilities embedded within qualitative research serve as points from/through which this all invasive performance can hopefully be countered and challenged.Gaile S. Cannella, Independent Critical Qualitative Research and Policy Studies Scholar and Research Professor at Arizona State UniversityMarket based values permeate audit culture with its performance metrics that increasingly infiltrate higher education. This collection might help us negotiate what is already here with the threat of more to come if we recognize the stakes: the place of the university in the politics of knowledge and the forms of governmentality we will abide. We incalculable subjects have much work to do.Patti Lather, Professor Emerita, Ohio State University. Author of (Post)Critical Methodologies: The Science Possible After the Critiques (Routledge, 2017)Table of ContentsIntroduction Norman K. Denzin & Michael D. GiardinaSection I: Theory, Data, and Entanglements1 Qualitative inquiry, research marketplaces, and neoliberalism: Adding some +s (pluses) to our thinking about the mess in which we find ourselves Julianne Cheek 2 Post qualitative research: The next generation Elizabeth Adams St.Pierre 3 Qualitative methodology and the new materialisms: ‘A little of Dionysus’s blood?’ Maggie MacLure 4 The importance of small form: ‘Minor’ data and ‘BIG’ neoliberalism Mirka Koro-Ljungberg, Anna Montana Cirell, Byoung-gyu Gong, & Marek Tesar 5 Be careful what you wish for: Data entanglements in qualitative research, policy, and neoliberal governance Harry TorranceSection II: Ethics, Politics, and Resistance6 Feminist poststructuralisms and the neoliberal university Bronwyn Davies, Margaret Somerville, & Lise Claiborne 7 Leaky privates: Resisting the neoliberal university and mobilizing movements for public scholarship Michelle Fine 8 Assembling a we in critical qualitative inquiry Stacy Holman Jones 9 Trickster as resistance: Impacts of neoliberalism on Indigenous research and Indigenous methodologies Roe Bubar & Doreen E. Martinez 10 Turning against each other in neoliberal times: The discourses of Othering and how they threaten our scholarship Kristi Jackson 11 Communicative methodology and social impact Aitor Gomez Coda All I really need to know about qualitative research I learned in high school: The 2016 Qualitative High commencement address Johnny Saldaña

Read more less

Book SynopsisThe European Review of Social Psychology (ERSP) is an international open-submission review journal, published under the auspices of the European Association of Social Psychology. It provides an outlet for substantial, theory-based reviews of empirical work addressing the full range of topics covered by the field of social psychology. Potential authorship is international, and papers are edited with the help of a distinguished, international editorial board. Articles published in ERSP typically review a programme of the author's own research, as evidenced by the author''s own papers published in leading peer-reviewed journals. The journal welcomes theoretical contributions that are underpinned by a substantial body of empirical research, which locate the research programme within a wider body of published research in that area, and provide an integration that is greater than the sum of the published articles. ERSP also publishesTable of ContentsThe person-based nature of prejudice: individual difference predictors of intergroup negativity. A dynamic model of engagement in normative and non-normative collective action: Psychological antecedents, consequences, and barriers. Intergroup reconciliation: Instrumental and socio-emotional processes and the needs-based model. Things we (don't) want to hear: Exploring responses to group-based feedback. The presence of the past: Identity continuity and group dynamics. A sociocultural framework for understanding partner preferences of women and men: Review of concepts and evidence. The role of self-evaluation and envy in Schadenfreude. How self-regulation helps to master negotiation challenges: An overview, integration, and outlook. Cognition is a matter of trust: Distrust tunes cognitive processes. European Review of Social Psychology Volume 26, 2015, Reviewer Acknowledgments. Editorial board

Read more less

Book SynopsisINSTANT NEW YORK TIMES BESTSELLEROne of the most important books I've ever read-an indispensable guide to thinking clearly about the world. - Bill GatesHans Rosling tells the story of 'the secret silent miracle of human progress' as only he can. But Factfulness does much more than that. It also explains why progress is so often secret and silent and teaches readers how to see it clearly. -Melinda GatesFactfulness by Hans Rosling, an outstanding international public health expert, is a hopeful book about the potential for human progress when we work off facts rather than our inherent biases. - Former U.S. President Barack ObamaFactfulness: The stress-reducing habit of only carrying opinions for which you have strong supporting facts. When asked simple questions about global trends-what percentage of the world's population live in poverty; why the world's population is increasing; how

Read more less

Book Synopsis

Read more less

Book SynopsisPHILIP BANYARD is Associate Senior Lecturer in Psychology at Nottingham Trent University, UK, and was Chief Examiner for the OCR A level in Psychology. He has written numerous articles for teachers and students of psychology, and has been teaching introductory level psychology for many years.ANDREW GRAYSON is Senior Lecturer in Psychology in the Centre for Human Development and Learning at the Open University, UK. He has taught developmental psychology, introductory psychology and research methods at degree level for over twelve years.

Read more less

Book SynopsisWrite It Up is for anyone writing an empirical article in APA Style amp reg , from beginners facing their first article to old dogs looking for new writing strategies. Your academic writing will be more influential if you approach it reflectively and strategically. Based on his experience as an author, journal editor, and peer reviewer, Paul J. Silvia offers sage and witty advice on problems like picking journals cultivating the right tone and style for your article managing collaborative projects and coauthors crafting effective Introduction, Method, Results, and Discussion sections and submitting and resubmitting papers to journals. Write It Up features: amp bull readable and amusing, the book shows, step-by-step, how to plan and organize your academic writing and amp bull uses real-world examples to illustrate how to improve writing style and write better articles.Trade ReviewIn the world of academia, once in a while, we are privileged to read a book that is both educational and entertaining … Silvia's Write It Up is a book that should be on the shelves of every aspiring writer, academic and researcher. * Child Adolescent Social Work Journal *The discussion is so well rounded, topical, and useful for one's career, this book should be required supplemental reading in graduate school for courses such as research methods. * Doody's Review Service *Its reasonable price, logical organization, and practical suggestions make it a reference that anyone who wants to have a better understanding of how to get articles published in their journal of choice might benefit from owning. * PsycCRITIQUES *From practical advice on grammar to tips, tricks, and common pitfalls when co-authoring papers, Write it Up is an absolute must-have for any scientific or academic seeking to build their reputation through published journal articles. * Midwest Book Review *Table of Contents Preface Introduction I. Planning and Prepping How and When to Pick a Journal Tone and Style Writing With Others: Tips for Coauthored Papers II. Writing the Article Writing the Introduction Writing the Method Writing the Results Writing the Discussion Arcana and Miscellany: From Titles to Footnotes III. Publishing Your Writing Dealing With Journals: Submitting, Resubmitting, and Reviewing One of Many: Building a Body of Work References Index About the Author

Read more less

Book SynopsisThis fourth edition of Alan E. Kazdin’s classic text is, like its predecessors, intended to help students and professionals alike master a wide range of methodological approaches to examining clinical issues and phenomena. The goal is to help the reader design, conduct, recognize, and appreciate high quality research, and recognize the implications of crucial decisions about methodology and design. Articles cover a comprehensive array of topics, including experimental design; the principles, procedures, and practices that govern research; assessment of study constructs and their interrelationships; potential sources of artifact and bias; methods of data analysis and interpretation; ethical issues; and the nuts and bolts of writing research articles and getting published. With 26 new articles and significantly revised and expanded introductory material, this revamped edition features scholarly contributions that explicate core concepts, survey contemporary issuesTrade Review Alan Kazdin’s edited compilation of readings, Methodological Issues and Strategies in Clinical Research (MISCR), is a classic, and for good reason. Its three prior editions have long served as ‘one-stop shopping’ resources for advanced undergraduates, graduate students, and faculty members hoping to consult the best articles bearing on methodological issues and advances in clinical science…Its fourth edition, released this year, maintains and builds on the same standard of scholarly excellence that previous readers of MISCR have come to expect. * PsycCRITIQUES *Confidently recommended as an academic curriculum textbook, Methodological Issues and Strategies in Clinical Research is a critically important addition to college and university Clinical Research instructional reference collections and supplemental studies reading lists. * Midwest Book Review *Table of Contents Contributors PrefacePart I. Introduction: Overview and Background Chapter 1. Methodology: What It Is and Why It Is So ImportantAlan E. KazdinPart II. Beginning the Research ProcessResearch Ideas Chapter 2. Beginning the Research Process: Key Concepts That Can Guide a StudyAlan E. Kazdin Chapter 3. Getting Out of Our Conceptual Ruts: Strategies for Expanding Conceptual FrameworksAllan W. Wicker Chapter 4. Translational ResearchMichael T. Bardo and Mary Ann PentzFoci of Research Chapter 5. In Defense of External InvalidityDouglas G. Mook Chapter 6. When Small Effects Are ImpressiveDeborah A. Prentice and Dale T. MillerPart III. Sampling and Assigning Participants to ConditionsSamples and Selection of Participants Chapter 7. Most People Are Not WEIRDJoseph Henrich, Steven J. Heine, and Ara Norenzayan Chapter 8. The Neglected 95%: Why American Psychology Needs to Become Less AmericanJeffrey J. Arnett Chapter 9. Amazon's Mechanical Turk: A New Source of Inexpensive, Yet High-Quality, Data?Michael Buhrmester, Tracy Kwang, and Samuel D. GoslingRandomization and Group Equivalence Chapter 10. Random Sampling, Randomization, and Equivalence of Contrasted Groups in Psychotherapy Outcome ResearchLouis M. HsuResearch Design Options Chapter 11. Experimental and Observational Designs: An OverviewAlan E. KazdinPart IV. AssessmentMeasurement Development, Reliability, and Validity Chapter 12. Constructing Validity: Basic Issues in Objective Scale DevelopmentLee Anna Clark and David Watson Chapter 13. Selecting Measures for Research InvestigationsAlan E. Kazdin Chapter 14. Measurement and Assessment: An Editorial ViewCecil R. ReynoldsMeasurement Among Diverse Samples Chapter 15. Methodological Issues in Assessment Research With Ethnic MinoritiesSumie Okazaki and Stanley SuePart V. Data Analysis, Evaluation, and PresentationBackground and Underpinnings of Data Analyses Chapter 16. On the Origins of the .05 Level of Statistical SignificanceMichael Cowles and Caroline Davis Chapter 17. Things I Have Learned (So Far)Jacob CohenNull Hypotheses Testing, Meta-Analysis, and Bayesian Statistics Chapter 18. A Power PrimerJacob Cohen Chapter 19. Statistical Significance Testing and Cumulative Knowledge in Psychology: Implications for Training of ResearchersFrank L. Schmidt Chapter 20. An Effect Size Primer: A Guide for Clinicians and ResearchersChristopher J. Ferguson Chapter 21. The Proof of the Pudding: An Illustration of the Relative Strengths of Null Hypothesis, Meta-Analysis, and Bayesian AnalysisGeorge S. Howard, Scott E. Maxwell, and Kevin J. FlemingData Presentation Chapter 22. Designing Better Graphs by Including Distributional Information and Integrating Words, Numbers, and ImagesDavid M. Lane and Anikó SándorPart VI. Special Topics: Evaluation in Clinical Practice and ResearchAssessment and Evaluation in Clinical Work Chapter 23. Collecting Client FeedbackMichael J. Lambert and Kenichi Shimokawa Chapter 24. Revisiting and Reenvisioning the Outcome Problem in Psychotherapy: An Argument to Include Individualized and Qualitative MeasurementClara E. Hill, Harold Chui, and Ellen BaumannEvaluating Interventions Chapter 25. Beyond Efficacy and Effectiveness: A Multifaceted Approach to Treatment EvaluationTimothy D. Nelson and Ric G. Steele Chapter 26. Methodological Challenges in Treatment Outcome Research With Ethnic MinoritiesAnna S. Lau, Doris F. Chang, and Sumie OkazakiPart VII. Multiple Methodologies Chapter 27. The Epistemology of Mathematical and Statistical Modeling: A Quiet Methodological RevolutionJoseph Lee Rodgers Chapter 28. Qualitative Research and Its Place in Psychological ScienceAnna Madill and Brendan Gouge Chapter 29. Single-Case Experimental Research DesignsAlan E. KazdinPart VIII. Ethical Issues and Scientific IntegrityGuidelines and Codes Chapter 30. Ethical Principles of Psychologists and Code of ConductAmerican Psychological Association Chapter 31. Research Ethics: How to Treat People Who Participate in ResearchEzekiel Emanuel, Emily Abdoler, and Leanne Stunkel Chapter 32. Research Ethics for Mental Health Science Involving Ethnic Minority Children and YouthsCelia B. Fisher, Kimberly Hoagwood,Cheryl Boyce, Troy Duster, Deborah A. Frank, Thomas Grisso, Robert J. Levine, Ruth Macklin, Margaret Beale Spencer, Ruby Takanishi, Joseph E. Trimble, and Luis H. ZayasQuestionable Research Practices, Fraud, and Professional Responsibilities Chapter 33. False-Positive Psychology: Undisclosed Flexibility in Data Collection and Analysis Allows Presenting Anything as SignificantJoseph P. Simmons, Leif D. Nelson, and Uri Simonsohn Chapter 34. Why Has the Number of Scientific Retractions Increased?R. Grant Steen, Arturo Casadevall, and Ferric C. Fang Chapter 35. Best Practices for Allocating Appropriate Credit and Responsibility to Authors of Multi-Authored ArticlesLucas D. EggertPart IX. Reproducibility of Findings: Replication and Improving Research Practices Chapter 36. Shall We Really Do It Again? The Powerful Concept of Replication is Neglected in the Social SciencesStefan Schmidt Chapter 37. The Empirical March: Making Science Better at Self-CorrectionMatthew C. Makel Chapter 38. Recommendations for Increasing Replicability in PsychologyJens B. Asendorpf, Mark Conner, Filip de Fruyt, Jan De Houwer, Jaap J. A. Denissen, Klaus Fiedler, Susann Fiedler, David C. Funder, Reinhold Kliegl, Brian A. Nosek, Marco Perugini, Brent W. Roberts, Manfred Schmitt, Marcel A. G. van Aken, Hannelore Weber, and Jelte M. WichertsPart X. Publication and Communication of ResearchReporting Standards: What to Cover and Include in an Article Chapter 39. Reporting Standards for Research in Psychology: Why Do We Need Them? What Might They Be?APA Publications and Communications Board Working Group on Journal Article Reporting StandardsPreparing Articles for Publication Chapter 40. Publication and Communication of Research FindingsAlan E. Kazdin Chapter 41. Writing a Review Article for Psychological BulletinDaryl J. BemPart XI. Perspectives on Methodology Chapter 42. Methodology: Perspectives and General Lessons to Guide ResearchAlan E. Kazdin Index About the Editor

Read more less

Book SynopsisThis book offers original, classroom-tested activities to teach high school and undergraduate students essential concepts in research methods and statistics.Table of Contents Contributors Acknowledgments IntroductionJeffrey R. Stowell and William E. AddisonPart I: Statistics Chapter 1: Reducing Anxiety in the Statistics ClassroomTamarah Smith Chapter 2: How to Lie With the Y-AxisThomas E. Heinzen Chapter 3: Summarizing Data Using Measures of Central Tendency: A Group ActivityThomson J. Ling Chapter 4: How Fast Is Your Internet? An Activity for Teaching Variance and Standard DeviationBonnie A. Green and Jeffrey R. Stowell Chapter 5: Getting Dicey: Thinking About Normal Distributions and Descriptive StatisticsRobert McEntarffer and Maria Vita Chapter 6: A Low-Anxiety Introduction to the Standard Normal Distribution and Measures of Relative StandingLaura Brandt and William E. Addison Chapter 7: Using the Heat Hypothesis to Explore the Statistical Methods of Correlation and RegressionGeorge Y. Bizer Chapter 8: Active Learning for Understanding Sampling DistributionsDavid S. Kreiner Chapter 9: Testing Students for ESP: Demonstrating the Role of Probability in Hypothesis TestingWilliam E. Addison Chapter 10: Using a TV Game Show Format to Demonstrate Confidence IntervalsAlexis Grosofsky Chapter 11: Real-Life Application of Type I and Type II Decision ErrorsBernard C. Beins Chapter 12: Factors That Influence Statistical PowerMichael J. Tagler and Christopher L. Thomas Chapter 13: An Interdisciplinary Activity for p Values, Effect Sizes, and the Law of Small NumbersAndrew N. ChristopherPart II: Research Methods Chapter 14: An Activity for Teaching the Scientific MethodR. Eric Landrum Chapter 15: Linking Identification of Independent and Dependent Variables to the Goals of ScienceMary E. Kite Chapter 16: Everything Is Awesome: Building Operational Definitions With Play-Doh and LEGOsStephanie E. Afful and Karen Wilson Chapter 17: A Demonstration of Random Assignment That Is Guaranteed to Work (95% of the Time)Thomas P. Pusateri Chapter 18: Identifying Confounding Factors in Psychology ResearchChris Jones-Cage Chapter 19: Demonstrating Experimenter and Participant BiasCaridad F. Brito Chapter 20: The Most Unethical Researcher: An Activity for Demonstrating Research Ethics in PsychologySue Frantz Chapter 21: The Ethics of Behavioral Research Using Animals: A Classroom Exercise (PDF, 909KB)Harold Herzog Chapter 22: Demonstrating Interobserver Reliability in Naturalistic SettingsJanie H. Wilson and Shauna W. Joye Chapter 23: Using a Classic Model of Stress to Teach Survey Construction and AnalysisJoseph A. Wister Chapter 24: Using Childhood Memories to Demonstrate Principles of Qualitative ResearchSteven A. Meyers Chapter 25: Using a Peer-Writing Workshop to Help Students Learn American Psychological Association StyleDana S. Dunn Index About the Editors

Read more less

Book SynopsisThis updated edition of Qualitative Research in Psychology brings together a diverse group of scholars to illuminate the value that qualitative methods bring to studying psychological phenomena in depth and in context.Table of ContentsPreface to the Second EditionPaul M. Camic Part 1. Laying the Foundations: The Pluralistic Approaches of Qualitative Inquiry Chapter 1. Going Around the Bend and Back: Qualitative Inquiry in Psychological ResearchPaul M. Camic Chapter 2. Choosing a Qualitative Method: A Pragmatic, Pluralistic PerspectiveChris Barker and Nancy Pistrang Chapter 3. Narrative in Qualitative Psychology: Approaches and Methodological ConsequencesMichael Bamberg Chapter 4. Information Power: Sample Content and Size in Qualitative StudiesKirsti Malterud, Volkert Siersma, and Ann Dorrit Guassora Part 2. Methodologies for Qualitative Researchers: Helping to Understand the World Around Us Chapter 5. Participation, Power, and Solidarities Behind Bars: A 25-Year Reflection on Critical Participatory Action Research on College in PrisonMichelle Fine, Maria Elena Torre, Kathy Boudin, and Cheryl Wilkins Chapter 6. Doing Narrative ResearchMichael Murray Chapter 7. Discursive Psychology: Capturing the Psychological World as It UnfoldsJonathan Potter Chapter 8. Interpretative Phenomenological AnalysisJonathan A. Smith and Megumi Fieldsend Chapter 9. Situational Analysis: Mapping Relationalities in PsychologyRachel Washburn, Adele Clarke, and Carrie Friese Chapter 10. What Lies Beneath? Eliciting Grounded Theory Through the Analysis of Video-Recorded Verbal and Nonverbal InteractionsColin Griffiths Chapter 11. Under Observation: Line Drawing as an Investigative Method in Focused EthnographyAndrew Causey Part 3. Developing and Expanding Qualitative Research Chapter 12. Into the Ordinary: Lessons Learned From a Mixed-Methods Study in the Homes of People Living With DementiaEmma Harding, Mary Pat Sullivan, Keir X. X. Yong, and Sebastian J. Crutch Chapter 13. Using Qualitative Research for Intervention Development and EvaluationLucy Yardley, Katherine Bradbury, and Leanne Morrison Chapter 14. Qualitative Meta-Analysis: Issues to Consider in Design and Review Kathleen M. Collins and Heidi M. Levitt

Read more less

Book SynopsisThe brief, practical texts in the Essentials of Qualitative Methods series introduce social science and psychology researchers to key approaches toqualitative methods, offering exciting opportunities to gather in-depth qualitative data and to develop rich and useful findings. In this book, Gareth Terry and Nikki Hayfield introduce readers to reflexive thematic analysis, a method of analyzing interview and focus group transcripts, qualitative survey responses, and other qualitative data. Central to this method is the recognition that we are all situated in a particular context, and that we see and speak from that position.This leads researchers to produce knowledge that represents situated truths, providinginsights intopeople''s perspectives on a given topic.About the Essentials of Qualitative Methods book series: Even for experienced researchers, selecting and correctly applying the right method can be challenging. In this groundbreaking series, leading experts in qualitative methods provide clear, crisp, and comprehensive descriptions of their approach, including its methodological integrity, and its benefits and limitations. Each book includes numerous examples to enable readers to quickly and thoroughly grasp how to leverage these valuable methods.Trade ReviewThis is a clear and accessible guide to thematic analysis that will greatly appeal to students and researchers who are developing their analytic practice. The authors walk the reader through the steps of analysis, which are illustrated with clear commentary and helpful examples. -- Abigail Locke, PhD, Professor of Critical Social & Health Psychology, Keele University, Keele, UKTerry and Hayfield demystify reflexive thematic analysis with analogies from everyday life and offer hacks for fixing common mistakes. This book is a must-read for students and researchers conducting thematic analysis. -- Adam Jowett, PhD, School of Psychological, Social & Behavioural Sciences, Coventry University, Coventry, UK

Read more less

Book SynopsisThe brief, practical texts in the Essentials of Qualitative Methods series introduce social science and psychology researchers to key approaches toqualitative methods, offering exciting opportunities to gather in-depth qualitative data and to develop rich and useful findings. In this book, Ruthellen Josselson and Phillip L. Hammack introduce readers to Narrative Analysis, a qualitative method that investigates how people make meaning of their lives and experiences in both social and cultural contexts. This method offers researchers a window into how individuals'' stories are shaped by the categories they inhabit, such as gender, race, class, and sexual identity, and it preserves the voice of the individual through a close textual analysis of their storytelling.About the Essentials of Qualitative Methods book series: Even for experienced researchers, selecting and correctly applying the right method can be challenging. In this groundbreaking series,Trade ReviewA crisp, clear, and pragmatic orientation to narrative research in psychology. Every student beginning narrative research should have this book firmly in hand. An excellent introduction that explains why narrative is so critical to the future of psychological research. -- Brian Schiff, PhD, author of A New Narrative for Psychology, American University of Paris, Paris, FranceUsing clear examples and easy to grasp language, the authors demonstrate narrative analysis methods and also ask researchers to think in new ways. They demonstrate how to balance the small details of a person’s life with attention to the bigger picture—the person as they exist in history, social locations, and inequality. Psychologists across many fields can learn from this guidebook how to study people in context. -- Sara McClelland, PhD, Associate Professor of Psychology and Women’s & Gender Studies, University of Michigan, Ann Arbor, United StatesTable of ContentsSeries Foreword—Clara E. Hill and Sarah Knox 1. Conceptual Foundations for the Method Stories and Human Experience: The Call for Narrative Analysis History and Epistemology of Narrative Analysis Key Features of Narrative Analysis Summary 2. Study Design and Data Collection Research Questions Recruiting, Interviewing, Analyzing: The Recursive Circle 3. Data Analysis Processes of Analysis Orientation to the Narrative A Sample Narrative Analysis: The Story of Lou Reflexivity and the Analytic Process 4. Writing the Manuscript Typical Structure of a Journal Article Representation Typical Structure of a Book or Dissertation Tips for Manuscript Preparation 5. Variations on the Method Small Stories Variations in Analysis 6. Methodological Integrity and Ethics Amount and Contextualization of Data Collected Perspective Management Data and Research Question Coherence and Groundedness of Interpretations Ethics 7. Summary and Conclusions Benefits and Advantages of Narrative Analysis Limitations of Narrative Analysis Narrative Analysis for a New Psychology Appendix: Exemplar Studies References Index About the Authors About the Series Editors

Read more less

Book SynopsisAt last, a comprehensive guide that meets psychologists and other social scientists'' growing need to master the tools of statistical prediction.Prediction Statistics for Psychological Assessment, by R. Karl Hanson, is the first book to teach students and practitioners the nuts and bolts of prediction statistics, while illustrating the utility of prediction and prediction tools in applied psychological practice. This valuable resource uses real-world examples, helpful explanations and practice exercises to support the use of prediction tools in psychological assessment. Actuarial risk assessment evaluators need to know how prediction tools work, how to evaluate them, and how to interpret their results in applied assessments. Written in a clear and accessible manner, this user-friendly book helps readers understand how to evaluate and interpret different kinds of prediction tools, appreciate the numeric information used in risk communication, and utilize prediction tools to inform evidence-based decision making.Trade ReviewKarl Hanson, one of the preeminent experts on criminal risk prediction, has produced an informative text that should be required reading for any professional involved in mental health assessment. Dr. Hanson skillfully presents complex concepts in a simple to read and understand text that will inform the future of psychological (and other mental health) assessment. A must-have on the bookshelf of practitioners and researchers alike. -- Robert D. Morgan, PhD, Dean, College of Health and Human Sciences, Southern Illinois University, Carbondale, IL, United StatesKarl Hanson—an international luminary in the field of psychological assessment—has written a cogent, meticulous, and comprehensive guide to the statistics used to predict human behavior. This lucidly written work will have an immense and long-lasting impact on the field. It needs to be within arm’s reach on the bookshelf of every clinical researcher and every evidence-based clinician. -- John Monahan, PhD, Shannon Distinguished Professor of Law, University of Virginia, Charlottesville, VA, United StatesAdvances in the field of risk assessment have been facilitated by improvements in prediction statistics. Until now there has been no comprehensive guide for those in the field. As a research and practice leader, Hanson delivers a learned volume that is readily accessible. It teaches specific statistics along with the role of prediction statistics in forensic assessment. It is a must-read for forensic researchers and practitioners intending to put research into practice. -- Distinguished Professor James Ogloff, AM, Director, Centre for Forensic Behavioural Science, Swinburne University of Technology, and Executive Director, Psychological Services & Research, Forensicare, Victoria, AustraliaTable of ContentsPrefacePart I: Background and OverviewChapter 1: Introduction to Prediction Statistics in PsychologyChapter 2: The Nature of ProbabilityChapter 3: Overview of the Statistics ChaptersPart II: Statistics for Describing LikelihoodsChapter 4: ProportionsChapter 5: Discrete-Time Survival AnalysisChapter 6: Kaplan-Meier Survival AnalysisPart III: Discrimination and Relative RiskChapter 7: Dichotomous PredictorsChapter 8: Area Under the CurveChapter 9: Cohen's dChapter 10: Cox RegressionChapter 11: Logistic RegressionPart IV: CalibrationChapter 12: Chi-Square Goodness-of-FitChapter 13: The E/O IndexChapter 14: Meta-AnalysisChapter 15: Calibration PlotsPart V: Percentile RanksChapter 16: PercentilesPart VI: Practice ConsiderationsChapter 17: Estimating the Quality of Prediction ToolsChapter 18: Standardizing Risk CommunicationChapter 19: Going Even FurtherAppendix: Useful Algebra and NotationGlossaryReferencesIndexAbout the Authors

Read more less

Book SynopsisA practical introduction to using Mplus for the analysis of multivariate data, this volume provides step-by-step guidance, complete with real data examples, numerous screen shots, and output excerpts. The author shows how to prepare a data set for import in Mplus using SPSS. He explains how to specify different types of models in Mplus syntax and address typical caveats--for example, assessing measurement invariance in longitudinal SEMs. Coverage includes path and factor analytic models as well as mediational, longitudinal, multilevel, and latent class models. Specific programming tips and solution strategies are presented in boxes in each chapter. The companion website (www.guilford.com/geiser-materials) features data sets, annotated syntax files, and output for all of the examples. Of special utility to instructors and students, many of the examples can be run with the free demo version of Mplus.Trade Review "Mplus is arguably the most flexible commercially available software program for SEM and all of its special cases. Geiser has provided an admirable service to the community of researchers who use Mplus with this highly readable book. The book is an indispensable companion to more advanced SEM texts and is certainly an important supplementary text for graduate courses on SEM."--David Kaplan, PhD, Department of Educational Psychology, University of Wisconsin-Madison "More and more researchers all over the world are using Mplus. I know of no other book that provides such a truly helpful tutorial on everything from the very first steps to how to run complicated SEM models like latent growth models. Beginners will very much appreciate how much attention the author pays to the basics. Many easy-to-make mistakes can be prevented by keeping this book within arm's reach. It is perfect for researchers at any career stage seeking an accessible, informative introduction to analyzing data with Mplus."--Rens van de Schoot, PhD, Department of Methodology and Statistics, Utrecht University, Netherlands "This text combines an extensive tutorial in Mplus programming with clear descriptions of the statistical models being implemented. Coverage includes standard path and factor analytic models, as well as longitudinal, multilevel, and latent class models. Many real examples are analyzed throughout the book, with careful explanations of syntax, screen shots to help navigate the program, and thorough discussions of results. The companion website provides the data, input, output, and annotated syntax files for all examples. This book will be of great interest to students and researchers who want not only to learn about Mplus, but also to gain a better understanding of SEM."--Roger E. Millsap, PhD, Department of Psychology, Arizona State University "Absolutely fantastic! I really wish I had had this book when I was a grad student. I will strongly recommend it to my own students, as well as to colleagues who ask for help with Mplus. The breadth of statistical techniques covered goes far beyond conventional SEM and makes this a valuable resource for both new and experienced Mplus users."--Alex Bierman, PhD, Department of Sociology, University of Calgary, Canada -Table of Contents1. Data Management in SPSS1.1 Coding Missing Values1.2 Exporting an ASCII Data File for Mplus2. Reading Data into Mplus2.1 Importing and Analyzing Individual Data (Raw Data)2.1.1 Basic Structure of the Mplus Syntax and Basic Analysis2.1.2 Mplus Output for Basic Analysis2.2 Importing and Analyzing Summary Data (Covariance or Correlation Matrices)3. Linear Structural Equation Models3.1 What are Linear SEMs?3.2 Simple Linear Regression Analysis with Manifest Variables3.3 Latent Regression Analysis3.4 Confirmatory Factor Analysis3.4.1 First-Order CFA3.4.2 Second-Order CFA3.5 Path Models and Mediator Analysis3.5.1 Introduction and Manifest Path Analysis3.5.2 Manifest Path Analysis in Mplus3.5.3 Latent Path Analysis3.5.4 Latent Path Analysis in Mplus4. Structural Equation Models for Measuring Variability and Change4.1 Latent State Analysis4.1.1 LS versus LST Models4.1.2 Analysis of LS Models in Mplus4.1.3 Modeling Indicator-Specific Effects4.1.4 Testing for Measurement Invariance across Time4.2 LST Analysis4.3 Autoregressive Models4.3.1 Manifest Autoregressive Models4.3.2 Latent Autoregressive Models4.4 Latent Change Models4.5 Latent Growth Curve Models4.5.1 First-Order LGCMs4.5.2 Second-Order LGCMs5. Multilevel Regression Analysis5.1 Introduction to Multilevel Analysis5.2 Specification of Multilevel Models in Mplus5.3 Option two level basic5.4 Random Intercept Models5.4.1 Null Model (Intercept-Only Model)5.4.2 One-Way Random Effects of ANCOVA5.4.3 Means-as-Outcomes Model5.5 Random Intercept and Slope Models5.5.1 Random Coefficient Regression Analysis5.5.2 Intercepts-and-Slopes-as-Outcomes Model6. Latent Class Analysis6.1 Introduction to Latent Class Analysis6.2 Specification of LCA Models in Mplus6.3 Model Fit Assessment and Model Comparisons6.3.1 Absolute Model Fit6.3.2 Relative Model Fit6.3.3 InterpretabilityAppendix A: Summary of Key Mplus Commands Discussed in This BookAppendix B: Common Mistakes in the Mplus Input Setup and TroubleshootingAppendix C: Further Readings

Read more less

Book SynopsisSystematic, practical, and accessible, this is the first book to focus on finding the most defensible design for a particular research question. Thoughtful guidelines are provided for weighing the advantages and disadvantages of various methods, including qualitative, quantitative, and mixed methods designs. The book can be read sequentially or readers can dip into chapters on specific stages of research (basic design choices, selecting and sampling participants, addressing ethical issues) or data collection methods (surveys, interviews, experiments, observations, archival studies, and combined methods). Many chapter headings and subheadings are written as questions, helping readers quickly find the answers they need to make informed choices that will affect the later analysis and interpretation of their data. à Useful features include: *Easy-to-navigate part and chapter structure. *Engaging research examples from a variety of fields. *End-of-chapter tables that summarize the main pTrade ReviewA masterful and thorough presentation of 'when to use what.' From beginning to end, it is clear that you are reading the work of very accomplished researchers and educators. The authors use a particularly rich, colorful, and practical set of examples, including classic and contemporary research studies as well as wonderful day-to-day illustrations such as TV channel surfing to introduce the notion of sampling. Readers can pick and choose individual chapters or read straight through the entire book, depending on their needs. The summary tables are extraordinarily useful and can serve as a quick reference to chapter structure and content.--Karen M. Staller, PhD, School of Social Work, University of Michigan I am recommending this book as the core text for our required methods course at the graduate level. The reader is taken on a tour of the main research designs employed by social scientists, including various quantitative and qualitative, experimental and observational, and primary and secondary data designs. Highlighting how decisions about research design should be influenced by the nature of the research question, the authors also acknowledge when other factors come into play, including financial and ethical considerations. The text helps researchers decide when to use a particular research design; teaches how to choose appropriate methods for sampling, recruiting, and assigning treatments (for experiments); and explores the implications of these decisions. I like how the authors talk about debates in the literature and how they point out typical/common shortcomings of different approaches. Their frank language gives the book the feel of a trusted advisor providing honest advice.--Tracey LaPierre, PhD, Department of Sociology, University of KansasThis book is on an essential topic--the questions it tackles are incredibly important in the social sciences. It reads like a field guide to conducting good research. I would recommend it to advanced undergraduates who need a handy reference or to graduate students who want one resource for their basic design, sampling, and ethics questions. It is accessible and easy to read. The authors present the process of research as full of choices that are best tackled by an informed researcher--no choice is universally the best one. The book emphasizes the importance of careful thought and weighing of pros and cons prior to conducting research.--Theresa DiDonato, PhD, Department of Psychology, Loyola University Maryland The book is very well written and readable, a real plus! I really like the authors’ premise that the research question determines the choice of method, rather than vice versa.--Rosemary L. Hopcroft, PhD, Department of Sociology, University of North Carolina at Charlotte The use of questions as subheads is an effective pedagogical technique. Teaching students to turn a heading into a question and then reading the textbook section to find the answer to the question has a rich history as an instructional strategy.--Susan Kushner Benson, PhD, College of Education, University of AkronThis has been an excellent text for my Advanced Research Methods course. Vogt et al. offer a well-rounded approach that addresses methods, sampling, and ethical issues for each research design. The book provides nice coverage that is relatively discipline neutral--appealing to the social sciences as well as business. Abundant references to key studies can be used as article reviews to further enhance each topic. The authors also incorporate statistical analysis tools that are appropriate for the designs, going beyond basic statistical procedures to explain a number of advanced procedures, as well.--Debbie L. Hahs-Vaughn, PhD, College of Education and Human Performance, University of Central Florida -Provides a hugely useful resource to navigate through the initial stages of research design, applicable to students and seasoned researchers alike....The layout of the book allows the reader to easily select those chapters that are most relevant to their interests, and is facilitated by signposting of additional resources to support the reader. The book is well written and accessible, posing questions throughout to guide the reader through the research process. A useful resource for any researcher.--The Psychologist, 1/1/2013ƒƒ“It is difficult to avoid a plethora of superlatives in reviewing this text. The writers….devote their space comprehensively and adequately to assisting any research reader at any level to decide what research method to use in dealing with a particular question, and to provide answers to many associated questions….Should be prescribed reading for everyone proposing to undertake educational research….Expect it to be a constant source of advice and inspiration.”--British Journal of Educational Technology, 1/28/2014ƒƒThe book is organized in an easy access order of information from design to sampling to ethics. Having used the book while starting my own study, the book did help me to quickly locate the information I needed. I praise the book's emphasis on the design development process from the research question to the research design….The authors included wonderful research question examples for reach research design. The attention to detail was refreshing. I particularly liked the authors' lists of important works in each chapter for in-depth discussions on a research design, a sampling technique, etc.--Structural Equation Modeling: A Multidisciplinary Journal, 6/1/2014ƒƒI praise the book's emphasis on the design development process from the research question to the research design, highlighting the fact that the research question always decides what steps will follow and what decisions will need to be made. The authors included wonderful research question examples for each research design. The attention to detail was refreshing. I particularly liked the authors' lists of important works in each chapter for in-depth discussions on a research design, a sampling technique, etc….[T]his book does what the authors have stated it should do, which is to describe various design packages and define the research designs involved in them….[T]he authors do a wonderful job at directing researchers towards appropriate literature for reading further details.--International Journal of Social Research Methodology, 11/13/2014Table of ContentsGeneral Introduction: Design, Sampling, and EthicsI. Research Questions and Designs What Is the Role of Theory in Research Questions and Designs? 1. When to Use Survey Designs When Are Surveys Likely to Be a Wise Design Choice? When Should You Use Which Mode of Administering Your Survey? What Design Should You Use to Study Change over Time? What Question Formats Can You Use in a Survey Design? Conclusion on Survey Designs: So Many Questions, So Little Time 2. When to Use Interview Designs Comparing Interviews with Surveys Conclusion on Interview Designs in General Specific Interview Types, Approaches, and Procedures Conclusion 3. When to Use Experimental Designs What’s Wrong with Gold-Standard Thinking? When Is an RCT a Good Option? When Is an Experimental Design a Good Option for Your Research? When Should You Use the Basic Types of Experimental Design? General Conclusion on When to Use Experimental Designs 4. When to Use Naturalistic and Participant Observational Designs Overview of Observational Designs When Is Observation a Good Design Choice? Further Distinguishing between Naturalistic and Participant Observational Designs When Should You Use a Naturalistic Observational Design? When Should You Use Participant Observational Designs? Conclusion: Characteristics of All Observational Designs 5. When to Use Archival Designs: Literature Reviews and Secondary Analyses What Kinds of Archival Data Are Available for Researchers? When Should You Collect and Use Preexisting Data Rather Than Produce Your Own? Types of Archival Research Database Archives Organizational Records Textual Studies of Documents New Media, Including Internet Sources Conclusion 6. When to Use Combined Research Designs Simple versus Multipart Research Questions When to Combine Research Designs Types and Qualities of Combined Designs Logistical Considerations in Combined Research Designs Conclusion and Summary II. Sampling, Selection, and Recruitment7. Sampling for Surveys Probability Samples Nonprobability Samples When Should You Try to Improve Response Rates? How Big Should Your Sample Be? Conclusion 8. Identifying and Recruiting People for Interviews How Interview Strategies Are Shaped by Research Questions Making Basic Decisions about Interview Sampling Conclusions on Selecting People to Interview 9. Sampling, Recruiting, and Assigning Participants in Experiments Randomized Controlled Trials Alternatives to RCTs Controlling for Covariates Conclusion: Sampling, Recruiting, and Assigning Cases in Experiments 10. Searching and Sampling for Observations Overview of Searching and Sampling Concerns in Observational Research Appropriateness and Relevance of the Sample Accessing Observation Sites Decisions Influenced by Resources and Other Practical Considerations Four Basic Sampling Decisions Sampling and the Five Types of Research Questions Conclusion and Summary 11. Sampling from Archival Sources When Do You Search and When Do You Sample? Sampling Research Literature to Build Upon and Synthesize It Database Archives Organizational Records Textual Studies of Documents

Read more less

Book SynopsisDesigned to foster inquiry-mindedness, this book prepares graduate students to develop a conceptual framework and conduct inquiry projects that are linked to ongoing conversations in a field. The authors examine different ways of knowing and show how to identify a research question; build arguments and support them with evidence; make informed design decisions; engage in reflective, ethical practices; and produce a written proposal or report. Each chapter opens with a set of critical questions, followed by a dialogue among five fictional graduate students exploring questions and concerns about their own inquiry projects; these issues are revisited throughout the chapter. Other useful features include end-of-chapter learning activities for individual or group use.Useful pedagogical features include: *Framing questions for exploration and reflection. *Chapter-opening dialogues that bring in perspectives from multiple disciplines. *Example boxes with detailed cases and questionsTrade ReviewWow! I was impressed by the quality of the content, the readability and flow, and the apt use of the journey metaphor. This book will serve as a key resource for education and other social science graduate students conducting research projects or for professionals writing research grant proposals for funding. Through dialogue, example, activity, and exploration, the authors illustrate that research can be engaging and fun. Each chapter has one or more reflective activities that guide readers to apply the principles presented, work collaboratively in learning groups, develop a conceptual framework for a project, and learn to generate knowledge through systematic inquiry. The activities help students navigate the entire inquiry process, from problem selection to written report. I will recommend this book to my doctoral students at the dissertation stage. The chapter on conceptual frameworks is priceless.--Eleni Coukos Elder, EdD, Department of Educational Administration, Tennessee State UniversityThis book offers a practical overview of basic skills required for the budding researcher in the social sciences. A major theme is promoting the development of an open, inquisitive, reflective stance that enables the researcher to take in new information and generate knowledge. Each chapter offers succinct information and examples and poses questions suitable for seminar discussion. In the research design chapter, weaving a fictional student's thinking about her project into the discussion to illustrate key points is quite effective. This book promises to be a useful supplement for research design and methods courses.--Arlene Bowers Andrews, PhD, Carolina Distinguished Professor, College of Social Work, University of South CarolinaThe best among a new generation of texts that helps the student learn to think like a scholar and researcher. In a single, readable volume, Rallis and Rossman distill key ideas and conceptual frameworks that currently require several textbooks and readings in my classes. They do so without getting entangled in arcane or overly technical arguments. The vignettes, examples, and exercises will help advanced graduate students and junior researchers to apply the concepts across the social and behavioral sciences, in both applied and pure fields of inquiry.--David N. Boote, PhD, School of Teaching, Learning, and Leadership, and Department of Educational and Human Sciences, University of Central FloridaThe book does an excellent job--especially through the exercises--of unblocking the thinking and writing of terrified graduate students.--Sande Milton, College of Education, Florida State University -This book can easily fit into a research course. It is easy to understand, and the learning activities are excellent for stimulating discussion and assessing understanding. 5 stars.--Doody's Reviews, 7/1/2012Table of Contents1. Inquiry as Learning: Beginning the Journey Introduction What Is Inquiry? The Learner as Knowledge Generator Drawing on Values and Passion Your Journey into Systematic Inquiry For Further Reading 2. Ways of Knowing: Finding a Compass Ways of Knowing Fundamental Assumptions Mapping Perspectives Back to Ontology and Epistemology For Further Reading 3. The Cycle of Inquiry: More Than One Way to Get There Inquiry in Action/Inquiry as Practice The Systematic Inquiry Cycle Validity, Credibility, and Trustworthiness For Further Reading 4. Being an Ethical Inquirer: Staying Alert on the Road Ethics in Inquiry The Inquirer as a Moral Practitioner Standards for Practice and Procedural Matters Ethics, Trustworthiness, and Rigor Ethical Theories Ethics and Reflexivity For Further Reading 5. Constructing Conceptual Frameworks: Building the Route What Is a Conceptual Framework? Building an Argument Entering the Conversation: Your Community of Practice Entering the Conversation: Your Engagement Entering the Conversation: The Communities of Discourse Ways of Organizing Chapter Summary For Further Reading 6. Designing the Inquiry Project: Finding “True North” Moving from the Conceptual Framework into Design Considering Various Designs Samira’s Research Questions and Possible Designs A Short Course on Research Methods Planning for Analysis and Interpretation The Research Proposal: Bringing it All Together An Example of Connecting the What and the How Chapter Summary For Further Reading 7. Things to Consider in Writing: Staying in the Right Lane Writing Introductions The Nasty Problem of Plagiarism Using Proper Citation Format For Further Reading 8. Knowledge Use: Arriving at Your Destination Using What You have Learned Who Cares?: Potential Audiences Communicating for Use Passions and Closing the Loop For Further Reading

Read more less

Book SynopsisDesigned to foster inquiry-mindedness, this book prepares graduate students to develop a conceptual framework and conduct inquiry projects that are linked to ongoing conversations in a field. The authors examine different ways of knowing and show how to identify a research question; build arguments and support them with evidence; make informed design decisions; engage in reflective, ethical practices; and produce a written proposal or report. Each chapter opens with a set of critical questions, followed by a dialogue among five fictional graduate students exploring questions and concerns about their own inquiry projects; these issues are revisited throughout the chapter. Other useful features include end-of-chapter learning activities for individual or group use.Useful pedagogical features include: *Framing questions for exploration and reflection. *Chapter-opening dialogues that bring in perspectives from multiple disciplines. *Example boxes with detailed cases and questionsTrade ReviewWow! I was impressed by the quality of the content, the readability and flow, and the apt use of the journey metaphor. This book will serve as a key resource for education and other social science graduate students conducting research projects or for professionals writing research grant proposals for funding. Through dialogue, example, activity, and exploration, the authors illustrate that research can be engaging and fun. Each chapter has one or more reflective activities that guide readers to apply the principles presented, work collaboratively in learning groups, develop a conceptual framework for a project, and learn to generate knowledge through systematic inquiry. The activities help students navigate the entire inquiry process, from problem selection to written report. I will recommend this book to my doctoral students at the dissertation stage. The chapter on conceptual frameworks is priceless.--Eleni Coukos Elder, EdD, Department of Educational Administration, Tennessee State UniversityThis book offers a practical overview of basic skills required for the budding researcher in the social sciences. A major theme is promoting the development of an open, inquisitive, reflective stance that enables the researcher to take in new information and generate knowledge. Each chapter offers succinct information and examples and poses questions suitable for seminar discussion. In the research design chapter, weaving a fictional student's thinking about her project into the discussion to illustrate key points is quite effective. This book promises to be a useful supplement for research design and methods courses.--Arlene Bowers Andrews, PhD, Carolina Distinguished Professor, College of Social Work, University of South CarolinaThe best among a new generation of texts that helps the student learn to think like a scholar and researcher. In a single, readable volume, Rallis and Rossman distill key ideas and conceptual frameworks that currently require several textbooks and readings in my classes. They do so without getting entangled in arcane or overly technical arguments. The vignettes, examples, and exercises will help advanced graduate students and junior researchers to apply the concepts across the social and behavioral sciences, in both applied and pure fields of inquiry.--David N. Boote, PhD, School of Teaching, Learning, and Leadership, and Department of Educational and Human Sciences, University of Central FloridaThe book does an excellent job--especially through the exercises--of unblocking the thinking and writing of terrified graduate students.--Sande Milton, College of Education, Florida State University -This book can easily fit into a research course. It is easy to understand, and the learning activities are excellent for stimulating discussion and assessing understanding. 5 stars.--Doody's Reviews, 7/1/2012Table of Contents1. Inquiry as Learning: Beginning the Journey Introduction What Is Inquiry? The Learner as Knowledge Generator Drawing on Values and Passion Your Journey into Systematic Inquiry For Further Reading 2. Ways of Knowing: Finding a Compass Ways of Knowing Fundamental Assumptions Mapping Perspectives Back to Ontology and Epistemology For Further Reading 3. The Cycle of Inquiry: More Than One Way to Get There Inquiry in Action/Inquiry as Practice The Systematic Inquiry Cycle Validity, Credibility, and Trustworthiness For Further Reading 4. Being an Ethical Inquirer: Staying Alert on the Road Ethics in Inquiry The Inquirer as a Moral Practitioner Standards for Practice and Procedural Matters Ethics, Trustworthiness, and Rigor Ethical Theories Ethics and Reflexivity For Further Reading 5. Constructing Conceptual Frameworks: Building the Route What Is a Conceptual Framework? Building an Argument Entering the Conversation: Your Community of Practice Entering the Conversation: Your Engagement Entering the Conversation: The Communities of Discourse Ways of Organizing Chapter Summary For Further Reading 6. Designing the Inquiry Project: Finding “True North” Moving from the Conceptual Framework into Design Considering Various Designs Samira’s Research Questions and Possible Designs A Short Course on Research Methods Planning for Analysis and Interpretation The Research Proposal: Bringing it All Together An Example of Connecting the What and the How Chapter Summary For Further Reading 7. Things to Consider in Writing: Staying in the Right Lane Writing Introductions The Nasty Problem of Plagiarism Using Proper Citation Format For Further Reading 8. Knowledge Use: Arriving at Your Destination Using What You have Learned Who Cares?: Potential Audiences Communicating for Use Passions and Closing the Loop For Further Reading

Read more less

Book Synopsis Written in a friendly, conversational style, this book offers a hands-on approach to statistical mediation and moderation for both beginning researchers and those familiar with modeling. Starting with a gentle review of regression-based analysis, Paul Jose covers basic mediation and moderation techniques before moving on to advanced topics in multilevel modeling, structural equation modeling, and hybrid combinations, such as moderated mediation. User-friendly features include numerous graphs and carefully worked-through examples; Helpful Suggestions about procedures and pitfalls; Knowledge Boxes delving into special topics, such as dummy coding; and end-of-chapter exercises and problems (with answers). The companion website (www.guilford.com/jose-materials) provides downloadable data and syntax files for the book's examples and exercises, as well as links to Jose's online programs, MedGraph and ModGraph.à Appendices present SPSS, Amos, and Mplus syntax for conducting the keyTrade ReviewThe examples are great and are used effectively. In the basic model chapters, readers can learn from these examples about how to actually fit these models, how to read and interpret the output, and, most important, the right language to report the findings. The book's emphasis on using graphs to visualize model results will make it easier for novices to grasp subtle concepts and avoid pitfalls. The author's MedGraph and ModGraph are great tools. I would consider using this book as a supplement in an advanced statistics class. Its conversational style will complement the more formal presentation of most textbooks.--Maria M. Wong, PhD, Department of Psychology, Idaho State UniversityJose has done a terrific job of laying out the importance of investigating mediation and moderation effects, as well as providing strategies to address them. Strengths of this clearly written book include the link between mediation and moderation theory and the statistical analysis testing these theories. The examples will prove useful to researchers in many fields.--David MacKinnon, PhD, Department of Psychology, Arizona State UniversityOne of the first volumes to focus on mediation and moderation, this book explains their differences from historical, substantive, and modeling perspectives. It is abundant with 'how-to' examples and provides readers with modeling tools that can be used directly in research. This is a suitable supplemental text for intermediate or advanced courses dealing with regression, hierarchical linear modeling, or structural equation modeling. The inclusion of cutting-edge topics such as mediated moderation and moderated mediation will attract more advanced quantitative researchers as well.--Feifei Ye, PhD, Department of Psychology in Education, University of Pittsburgh -“This book offers a brief and readable introduction to moderation and mediation, including alternate contexts in which such effects are likely to emerge, statistical strategies for their evaluation, and different types of models that represent manifestations of mediation and moderation. The focus on and clarification of the difference between mediation and moderation distinguish this contribution from the other most recent publications in this area….For the person wanting a comprehensive introduction to themes associated with the concepts of mediation and moderation, Doing Statistical Mediation and Moderation represents a worthwhile addition to one's library. The variety of topics covered…is impressive….Throughout, Jose offers a slew of online resources for learning more about special topics in mediation and moderation and for conducting analyses….A useful contribution to the literature on more sophisticated structural models. Researchers who are interested in improving their effectiveness as modelers of relationships involving three or more variables will find it a valuable contribution as an introduction to the broad conceptual issues related to mediation and moderation, and as a source of useful tools and resources.”--PsycCritiques, 10/1/2013ƒƒA really nice aspect of the book is that the author provides all the datasets analyzed, allowing the readers to directly use them to learn and practice. In the appendices, the book provides suggested answers to the exercises, statistical software implementations, and Internet resources for mediation and moderation analysis….This book is an excellent introductory level mediation and moderation analysis textbook….It clearly explains the basic research questions and the corresponding regression-based statistical tools dealing with them. Applied researchers interested in applying linear regression-based mediation and moderation techniques to their own data could find an excellent starting point within its pages.--American Statistician, 1/22/2015Table of Contents1. A Basic Orientation*My Personal Journey*Confusions about Mediation and Moderation*Mediation and Moderation: The Synergism of Three Variables2. Historical Background*The History of Mediation and Moderation*Two Strands of Thought within Statistics*The Historical Basis for the Methods of Mediation and Moderation*Baron and Kenny's Landmark Publication*Knowledge Box. A Note about Terminology: IV/DV versus Predictor/Outcome*Clarification of Mediation and Moderation Subsequent to Baron and Kenny's Article*Summary*Further Reading3. Basic Mediation*Review of Basic Rules for Mediation*How to Do Basic Mediation*Knowledge Box. Controversy: Calculation of whether Significant Mediation Has Occurred*An Example of Mediation with Experimental Data*An Example of Null Mediation*Sobel's z versus Reduction of the Basic Relationship*Suppressor Variables in Mediation*Investigating Mediation When One Has a Nonsignificant Correlation*Understanding the Mathematical Fine Print: Variances and Covariances*Discussion of Partial and Semipartial Correlations*Statistical Assumptions*Summary*Further Reading*In-Chapter Exercises*Additional Exercises4. Special Topics in Mediation*Model Specification: Testing Models*Knowledge Box. Another Area of Potential Confusion: Implications for Naming Different Types of Mediation Results*Multiple Mediators*Bootstrapping (Resampling)*Longitudinal Mediation Models*Multilevel Mediation Models*Categorical Mediators and/or Outcomes (Logistic Regression)*Mediation with Quadratic Relationships*Summary*Further Reading*In-Chapter Exercises5. Basic Moderation*Categorical Variable Moderation*Knowledge Box. A Short Tutorial on Dummy Coding*An Example of a Continuous Moderator*Knowledge Box. Graphing Moderation Patterns*Further Reading*In-Chapter Exercises*Additional Exercises6. Special Topics in Moderation*Johnson-Neyman Regions of Significance*Multiple Moderator Regression Analyses*Moderation of Residualized Relationships*Quadratic Moderation*Basic Moderation in Path Analyses*Moderation in Multilevel Modeling (MLM)*Moderation with Latent Variables*Logistic Moderation?*Summary*Further Reading*In-Chapter Exercises*Additional Exercises7. Mediated Moderation and Moderated Mediation*The Literature*Mediated Moderation: A Baron and Kenny-type Example*Moderated Mediation*Where to from Here? Bootstrapping for Moderated Mediation*More Complicated Variants: Moderated Mediated Moderation*Other Variants*Conclusions*Further ReadingSuggested Answers to ExercisesAppendix A. SPSS, Amos, and MPlus ModelsAppendix B. Resources for Researchers Who Use Mediation and Moderation

Read more less

Book Synopsis Written in a friendly, conversational style, this book offers a hands-on approach to statistical mediation and moderation for both beginning researchers and those familiar with modeling. Starting with a gentle review of regression-based analysis, Paul Jose covers basic mediation and moderation techniques before moving on to advanced topics in multilevel modeling, structural equation modeling, and hybrid combinations, such as moderated mediation. User-friendly features include numerous graphs and carefully worked-through examples; Helpful Suggestions about procedures and pitfalls; Knowledge Boxes delving into special topics, such as dummy coding; and end-of-chapter exercises and problems (with answers). The companion website (www.guilford.com/jose-materials) provides downloadable data and syntax files for the book's examples and exercises, as well as links to Jose's online programs, MedGraph and ModGraph.à Appendices present SPSS, Amos, and Mplus syntax for conducting the keyTrade ReviewThe examples are great and are used effectively. In the basic model chapters, readers can learn from these examples about how to actually fit these models, how to read and interpret the output, and, most important, the right language to report the findings. The book's emphasis on using graphs to visualize model results will make it easier for novices to grasp subtle concepts and avoid pitfalls. The author's MedGraph and ModGraph are great tools. I would consider using this book as a supplement in an advanced statistics class. Its conversational style will complement the more formal presentation of most textbooks.--Maria M. Wong, PhD, Department of Psychology, Idaho State UniversityJose has done a terrific job of laying out the importance of investigating mediation and moderation effects, as well as providing strategies to address them. Strengths of this clearly written book include the link between mediation and moderation theory and the statistical analysis testing these theories. The examples will prove useful to researchers in many fields.--David MacKinnon, PhD, Department of Psychology, Arizona State UniversityOne of the first volumes to focus on mediation and moderation, this book explains their differences from historical, substantive, and modeling perspectives. It is abundant with 'how-to' examples and provides readers with modeling tools that can be used directly in research. This is a suitable supplemental text for intermediate or advanced courses dealing with regression, hierarchical linear modeling, or structural equation modeling. The inclusion of cutting-edge topics such as mediated moderation and moderated mediation will attract more advanced quantitative researchers as well.--Feifei Ye, PhD, Department of Psychology in Education, University of Pittsburgh -“This book offers a brief and readable introduction to moderation and mediation, including alternate contexts in which such effects are likely to emerge, statistical strategies for their evaluation, and different types of models that represent manifestations of mediation and moderation. The focus on and clarification of the difference between mediation and moderation distinguish this contribution from the other most recent publications in this area….For the person wanting a comprehensive introduction to themes associated with the concepts of mediation and moderation, Doing Statistical Mediation and Moderation represents a worthwhile addition to one's library. The variety of topics covered…is impressive….Throughout, Jose offers a slew of online resources for learning more about special topics in mediation and moderation and for conducting analyses….A useful contribution to the literature on more sophisticated structural models. Researchers who are interested in improving their effectiveness as modelers of relationships involving three or more variables will find it a valuable contribution as an introduction to the broad conceptual issues related to mediation and moderation, and as a source of useful tools and resources.”--PsycCritiques, 10/1/2013ƒƒA really nice aspect of the book is that the author provides all the datasets analyzed, allowing the readers to directly use them to learn and practice. In the appendices, the book provides suggested answers to the exercises, statistical software implementations, and Internet resources for mediation and moderation analysis….This book is an excellent introductory level mediation and moderation analysis textbook….It clearly explains the basic research questions and the corresponding regression-based statistical tools dealing with them. Applied researchers interested in applying linear regression-based mediation and moderation techniques to their own data could find an excellent starting point within its pages.--American Statistician, 1/22/2015Table of Contents1. A Basic Orientation*My Personal Journey*Confusions about Mediation and Moderation*Mediation and Moderation: The Synergism of Three Variables2. Historical Background*The History of Mediation and Moderation*Two Strands of Thought within Statistics*The Historical Basis for the Methods of Mediation and Moderation*Baron and Kenny's Landmark Publication*Knowledge Box. A Note about Terminology: IV/DV versus Predictor/Outcome*Clarification of Mediation and Moderation Subsequent to Baron and Kenny's Article*Summary*Further Reading3. Basic Mediation*Review of Basic Rules for Mediation*How to Do Basic Mediation*Knowledge Box. Controversy: Calculation of whether Significant Mediation Has Occurred*An Example of Mediation with Experimental Data*An Example of Null Mediation*Sobel's z versus Reduction of the Basic Relationship*Suppressor Variables in Mediation*Investigating Mediation When One Has a Nonsignificant Correlation*Understanding the Mathematical Fine Print: Variances and Covariances*Discussion of Partial and Semipartial Correlations*Statistical Assumptions*Summary*Further Reading*In-Chapter Exercises*Additional Exercises4. Special Topics in Mediation*Model Specification: Testing Models*Knowledge Box. Another Area of Potential Confusion: Implications for Naming Different Types of Mediation Results*Multiple Mediators*Bootstrapping (Resampling)*Longitudinal Mediation Models*Multilevel Mediation Models*Categorical Mediators and/or Outcomes (Logistic Regression)*Mediation with Quadratic Relationships*Summary*Further Reading*In-Chapter Exercises5. Basic Moderation*Categorical Variable Moderation*Knowledge Box. A Short Tutorial on Dummy Coding*An Example of a Continuous Moderator*Knowledge Box. Graphing Moderation Patterns*Further Reading*In-Chapter Exercises*Additional Exercises6. Special Topics in Moderation*Johnson-Neyman Regions of Significance*Multiple Moderator Regression Analyses*Moderation of Residualized Relationships*Quadratic Moderation*Basic Moderation in Path Analyses*Moderation in Multilevel Modeling (MLM)*Moderation with Latent Variables*Logistic Moderation?*Summary*Further Reading*In-Chapter Exercises*Additional Exercises7. Mediated Moderation and Moderated Mediation*The Literature*Mediated Moderation: A Baron and Kenny-type Example*Moderated Mediation*Where to from Here? Bootstrapping for Moderated Mediation*More Complicated Variants: Moderated Mediated Moderation*Other Variants*Conclusions*Further ReadingSuggested Answers to ExercisesAppendix A. SPSS, Amos, and MPlus ModelsAppendix B. Resources for Researchers Who Use Mediation and Moderation

Read more less

Book SynopsisThis user-friendly text takes a learn-by-doing approach to exploring research design issues in education and psychology, offering evenhanded coverage of quantitative, qualitative, mixed-methods, and single-case designs. Readers learn the basics of different methods and steps for critically examining any study's design, data, and conclusions, using sample peer-reviewed journal articles as practice opportunities. The text is unique in featuring full chapters on survey methods, evaluation, reliability and validity, action research, and research syntheses. Pedagogical Features *An exemplar journal article at the end of each methods chapter, together with questions and activities for critiquing it (including, where applicable, checklist forms to identify threats to internal and external validity), plus lists of additional research examples. *Research example boxes showing how studies are designed to address particular research questions. *In every chapter: numbered chTrade ReviewEach chapter in this book is well organized, with good examples, suggested readings, and other helpful materials.--Hisako Matsuo, PhD, Department of Sociology and Anthropology, Saint Louis UniversityUnlike many other texts, this book covers each topic with consistent depth. Great features include a thorough chapter on program evaluation, which many texts don't offer; coverage of reliability and validity early in the book (I love the section on things to consider about measurement devices!); and the best presentation of qualitative research that I have seen in any text. I like how qualitative research and quantitative research are presented separately instead of being merged in a confusing fashion. I will definitely consider adopting this text.--Melody Whiddon, PhD, College of Education, Florida International UniversityThis accessible book does the best job of any text I've seen of making the dynamic nature of research designs come to life for educational researchers. I teach two research methods classes--one for doctoral students and the others for master's students--and I will use this book for both. It covers the right material, has a solid structure within chapters, and includes some nuts-and-bolts material not available in other texts.--Eleazar Vasquez III, PhD, BCBA-D, Exceptional Education Program, University of Central Florida This book is an easy read, full of good examples and well-thought-out approaches. The authors have brought extensive experience to bear on creating a very effective text. I look forward to using this text in my graduate course in research for speech-language pathologists.--Anthony P. Salvatore, PhD, Director, Speech-Language Pathology Program, and Chair, Department of Rehabilitation Sciences, University of Texas, El Paso This clear, detailed volume provides a comprehensive look at the elements that help novice researchers become more critical consumers of research. I like the graphic organizers and the use of discussion questions and exercises. These tools help the instructor ensure that students understand the topics and allow for a variety of different learning styles. When I teach educational research courses, I often have to locate related articles on my own; I appreciate that the authors have taken the time to provide related articles. This text is just the right level for my graduate students.--Tracy M. Walker, PhD, Department of Doctoral Studies, Virginia State UniversityThis text delivers exactly what it claims: it teaches students how to consume and understand research. The comprehensive coverage of all types of empirical inquiry is truly impressive and second to none. Advanced undergraduates and graduate students at the master’s and doctoral levels will greatly appreciate the book's treatment of both the fundamentals and nuances of most types of research designs. This text will enlighten and more than satisfy the most inquisitive educational research consumer.--Edward J. Sabornie, PhD, Graduate Program in Special Education, North Carolina State University-Table of ContentsI. UNDERSTANDING RESEARCH1. Thinking Critically about ResearchObjectivesOverviewHow Important Is Critical Thinking?What Are the Elements to Becoming a Critical Research Consumer?What Are Science and the Scientific Method? What Are the Purposes of Science? What Is a Scientific Theory?What Are the Types of Scientific Logic? In What Ways Do We Gain Information? What Are Constraint Levels in Educational and Psychological Research?What Are the Differences between Basic and Applied Research?What Is Replication Research?SummaryDiscussion QuestionsII. CRITICAL ISSUES IN RESEARCH2. Fundamental Issues for Interpreting ResearchObjectivesWhat Is Variability?What Is Internal Validity and Its Threats? What Is External Validity and Its Threats?What Are Statistical and Social Validities?SummaryDiscussion QuestionsInterpretation Exercises3. Reliability, Validity, and Interobserver AgreementObjectivesOverviewWhat Are Reliability and Validity Issues in Quantitative Research? How Do Researchers Assess the Reliability of Measurement Devices?How Do Researchers Determine the Validity of Measurement Devices?What Are Reliability and Validity Issues in Qualitative Research?What Is Interobserver Agreement?What Are the Methods of Establishing Interobserver Agreement? What Are the Factors That Influence Interobserver Agreement? What Are the Factors to Consider When Assessing Measurement Devices in the Context of aStudy? SummaryDiscussion QuestionsPractice ExercisesIII. QUANTITATIVE RESEARCH METHODS4. Basic Statistical Concepts and Sampling ProceduresObjectivesOverviewWhat Are the Scales of Measurement? What Is a Univariate Frequency Distribution? How Can We Describe Data Sets?What Role Do Hypotheses Play in Research?What Are Parametric and Nonparametric Tests of Statistical Significance?What Is Statistical Significance?What Are Type I and Type II Errors and Power?What Are the Types of Statistical Significance Testing Methods? What Are the Different Sampling Methods?What Are the Sampling Decisions Researchers Make?What Is Sampling Error? SummaryDiscussion Questions5. Experimental DesignsObjectivesOverviewWhat Are True Experimental Designs?What Are the Most Common True Experimental Designs?What Are Factorial Experimental Designs? What Are Quasi-Experimental Designs?What Are the Common Quasi-Experimental Designs? What Are Preexperimental Designs?What Are the Types of Preexperimental Designs?When Should Researchers Use Each Experimental Research Design?SummaryDiscussion QuestionsILLUSTRATIVE ARTICLE EXAMPLEResearch Example QuestionsAdditional Research ExamplesThreats to Internal Validity FormThreats to External Validity Form6. Causal-Comparative ResearchObjectivesOverviewWhat Is the Causal-Comparative Research Method?What Should Researchers Consider When Designing a Causal-Comparative Research Study?Can the Causal-Comparative Approach Be Combined with Factorial Designs?When Should Researchers Use the Causal-Comparative Research Design?SummaryDiscussion QuestionsILLUSTRATIVE ARTICLE EXAMPLEResearch Example QuestionsAdditional Research ExamplesThreats to Internal Validity FormThreats to External Validity Form7. Correlational ResearchObjectivesOverviewWhat Is the Correlational Research Method?What Are the Issues in Designing a Correlational Study? What Are the Statistical Procedures Used in Correlational Research?When Should Researchers Use the Correlational Research Method?SummaryDiscussion QuestionsILLUSTRATIVE ARTICLE EXAMPLEResearch Example QuestionsAdditional Research ExamplesThreats to Internal Validity FormThreats to External Validity Form8. Survey Research MethodsObjectivesOverviewWhat Are the Purposes of Survey Research?What Are the Different Types of Surveys?What Are the Factors in Choosing a Survey Method? How Is Survey Research Designed?When Should Researchers Use Survey Research?SummaryDiscussion QuestionsILLUSTRATIVE ARTICLE EXAMPLEResearch Example QuestionsAdditional Research ExamplesThreats to Survey Validity FormIV. QUALITATIVE RESEARCH METHODS9. Basic Understandings in Qualitative ResearchObjectivesOverviewWhat Are the Characteristics of Qualitative Research? What Are the Differences between Qualitative and Quantitative Research? What Are Qualitative Research Procedures?What Is Understanding in Qualitative Research? What Are the Evaluative Criteria for Judging the Reliability and Validity of Qualitative Research?What Are the Types of Triangulation Methods?How Are Qualitative Data Analyzed?SummaryDiscussion Questions10. Data Collection and Designs in Qualitative ResearchObjectivesOverviewWhat Are Field-Oriented Studies?What Is Historical Research? What Are Mixed-Methods Studies?When Should Researchers Use Each Qualitative Research Design? SummaryDiscussion QuestionsILLUSTRATIVE ARTICLE EXAMPLEResearch Example QuestionsAdditional Research ExamplesQualitative Research Examination FormV. SINGLE-CASE RESEARCH METHODS11. Withdrawal and Associated DesignsObjectivesOverviewWhat Are Graphing Methods in Withdrawal Designs?What Are Withdrawal and Associated Designs?When Should Researchers Use Each Withdrawal and Associated Design?SummaryDiscussion QuestionsILLUSTRATIVE ARTICLE EXAMPLEResearch Example QuestionsAdditional Research ExamplesThreats to Internal Validity FormThreats to External Validity Form12. Multiple-Baseline DesignsObjectives OverviewWhat Are Graphing Methods in Multiple-Baseline Designs?What Are Multiple-Baseline Designs?When Should Researchers Use Each Multiple-Baseline Design?Summary Discussion QuestionsILLUSTRATIVE ARTICLE EXAMPLEResearch Example QuestionsAdditional Research ExamplesThreats to Internal Validity FormThreats to External Validity Form13. Additional Single-Case DesignsObjectivesOverviewWhat Is a Changing-Criterion Design?What Is a Multitreatment Design?What Is an Alternating Treatments Design?What Are Combination Designs?When Should Researchers Use Each of the Additional Single-Case Designs?Summary Discussion QuestionsILLUSTRATIVE ARTICLE EXAMPLEResearch Example QuestionsAdditional Research ExamplesThreats to Internal Validity FormThreats to External Validity FormVI. EVALUATION RESEARCH14. Program EvaluationObjectivesOverviewWhat Are the Goals and Objectives of Program Evaluation? What Are the Types of Program Evaluations?How Is a Program Evaluation Conducted?When Should Program Evaluations Be Conducted?SummaryDiscussion QuestionsILLUSTRATIVE ARTICLE EXAMPLEResearch Example QuestionsAdditional Research Examples15. Evaluating the LiteratureObjectivesOverviewWhat Are the Purposes of Research Syntheses?What Are Systematic and Unsystematic Research Sy

Read more less

Book SynopsisEngagingly written, this book builds the reader's skills for conducting in-depth interviews designed to address a particular research question. With an emphasis on the dynamics of the research relationship, Ruthellen Josselson artfully demonstrates the steps of a successful interview. Each step is illustrated with excerpts from interviews on diverse topics. The book describes how to structure interviews effectively, develop questions that elicit meaningful narratives, cultivate skills for empathic listening and responding, avoid common pitfalls, and deal with problems that develop in an interview. Pedagogical Features *Practice exercises adapted from Josselson's popular workshops. *Annotated examples of good and bad interviews. *A chapter on interviewing dos and don'ts. *Appendices with interview aids, sample follow-up questions, and a sample consent form.Trade ReviewAny qualitative researcher using interviewing could benefit from this text. It is full of interesting interview examples and stories that will catch students' attention. Strengths include the emphasis on responding to research questions, examples of how to elicit details and reflection from research participants, and the attention to images and metaphors. The chapter on 'dos and don'ts' is one of my favorites.--Penny L. Burge, PhD, Department of Educational Research and Evaluation, Virginia TechThis is a methodological bible for graduate students, undergraduates, and faculty members interested in conducting interviews, gathering life stories, and building a narrative intimacy with participants. Slender but deep, the volume offers respectful support to qualitative researchers so that we may venture into unsteady territory, muster the courage to be psychologically attentive and engaged, and not stumble. With a delicate braid of narrative theory, methodological guideposts, and a terrifically useful list of interview dos and don'ts, Josselson is an intellectually thrilling and methodologically wise escort for novice and experienced interviewers alike. You will want to read this book immediately, teach it, and then pull it out again when you are about to begin another project. It is classic Josselson--compelling, brilliant, and irresistible.--Michelle Fine, PhD, Doctoral Program in Psychology, The Graduate Center, City University of New YorkJosselson's book is a gold mine for those who conduct research interviews in order to understand people's experiences on their own terms. Drawing on decades of experience as a researcher and teacher, Josselson provides practical guidance about how to carry out interviews that balance human connection with scientific inquiry. This book should be required reading for all social scientists engaged in interview research; my students will certainly be reading it!--Harold D. Grotevant, PhD, Rudd Family Foundation Chair in Psychology, University of Massachusetts AmherstA thoughtful account of how to conduct interviews that invite participants to talk. It does a wonderful job of placing the interviewer/n-/interviewee relationship front and center, something often overlooked or inadequately addressed in other books about interviewing for research. It does a terrific job of explaining the difference between interviewing for qualitative research purposes and interviewing for other reasons. I loved that the text was filled with excerpts from transcripts and that these were from interviews about a variety of topics.--Carey E. Andrzejewski, PhD, Department of Educational Foundations, Leadership, and Technology, Auburn UniversityThis is a very well-presented text on conducting interviews. I particularly like the examples of difficult interviews. These examples, along with the refining questions, are major strengths of the book.--Elizabeth Monk-Turner, PhD, Department of Sociology and Criminal Justice, Old Dominion University -“In her inimitable way, Josselson captures the essence and the detail of qualitative interviewing that students in particular need. She clearly details the nature of human experience as a layered and complex manifestation of the storied or narrative nature of interaction that occurs in an interview. The excellence of Josselson's text resides in her accurate prediction of the many challenges that students will experience as they pursue the use of qualitative research interviewing methodology. In effect, she alerts students to plan for various pitfalls that can and will occur, leaving them excellently prepared with tools and strategies as they venture into their beginning participant interviews. What makes Josselson's text an outstanding teaching tool is her insistence that it is the development of the participant-researcher relationship that leads the novice researcher through the seeming quagmire of methodology and provides the key factor in obtaining rich, textured data….Josselson's excellent text provides the steps and examples necessary for students and researchers to acquire and further develop their knowledge and relational skills as qualitative researchers. She inspires students by describing many of the difficulties encountered as being reasonable expectations rather than making this aspect of qualitative research difficult to understand and master. I recommend Interviewing for Qualitative Inquiry for a broad audience, including novice to experienced qualitative researchers….Doctoral and postdoctoral-level researchers and educators will, in reading this text, coalesce their earlier interview experience into a coherent whole to be presented to graduate students and research fellows. Experienced quantitative researchers will find in this resource an excellent explanation of the validity of the qualitative research-interviewing methodology.”--PsycCRITIQUES, 3/1/2014ƒƒ“Based on her decades of research and teaching, Josselson provides an authoritative account for conducting interviews that are self-consciously embedded in social worlds and relationships….As qualitative researchers, we share titles only of those that add to our understanding or provide new insights and modes for training the next generation. If you are a qualitative researcher, you should add Josselson's new book to that list….Includes incredibly helpful appendices….I came to think of her text as teaching students and scholars how to be ‘embedded’ as interviewers: how to anticipate, listen empathetically, and make the most of the complicated social dynamics of the interview scene. One of my favorite aspects of her book is that she is also not afraid to tell novice interviewers what not to do….Josselson is truly a mentor and guide for up-and-coming qualitative methodologists, and that voice and her insights come across clearly in this slim and useful volume. I would recommend it for courses in psychology, education, nursing, social work, sociology, communications and related fields. Specifically, I think it will serve well in methods courses, and even as a supplementary book in any mid- to upper- level course that requires or allows undergraduates or graduates to conduct their own research. I plan to use it to prepare my advanced undergraduates when they embark on research projects of their own devising or when they are supporting my research agendas. I think it will make them more reflexive but also more confident in the moves available to them as qualitative researchers.”--Journal of Social Psychology, 5/21/2014Table of Contents1.The Foundations of Interviewing as Qualitative Inquiry2. Introduction to the Research Relationship3. Planning the Interview4. Beginning the Interview5. The Empathic Attitude of Listening6. The Research Relationship, Part II: Ethics and Humanity7. The Good Interview8. Learning from Bad and Difficult Interviews9. Dos and Don'ts of Interviewing10. After the Interview11. ConclusionAppendix A. Interview AidsAppendix B. Sample Additional QuestionsAppendix C. Sample Informed Consent Form

Read more less

Book SynopsisBringing together leading authorities, this unique handbook reviews the breadth of current approaches for studying how people think, feel, and behave in everyday environments, rather than in the laboratory. The volume thoroughly describes experience sampling methods, diary methods, physiological measures, and other self-report and non-self-report tools that allow for repeated, real-time measurement in natural settings. Practical guidance is provided to help the reader design a high-quality study, select and implement appropriate methods, and analyze the resulting data using cutting-edge statistical techniques. Applications across a wide range of psychological subfields and research areas are discussed in detail.Trade Review"If you want to study life as it is lived--and do it by the numbers--then this volume is for you. This invaluable reference presents the latest theories, methods, and topics, and will provide inspiration and guidance for students and seasoned researchers alike. Mehl and Conner have assembled a team of experts at the forefront of the field who demonstrate that naturalistic sampling methods have developed into powerful tools for studying all facets of the human condition. The chapters have that rare combination of conceptual sophistication and methodological precision, making this book indispensable for anyone who wants to investigate how people feel, think, and behave in the moment-to-moment rhythms of their lives."--Lisa Feldman Barrett, PhD, Distinguished Professor of Psychology, Northeastern University "This volume--more than any other book published in the last two decades--will change the field of psychology. Psychological scientists have long recognized that ultimately, if their research is to have any meaning, they must venture out of the lab to study psychological processes unfolding in the 'real world.' But until now there has not been a comprehensive resource to show them how. As the first complete, authoritative, and practical guide to studying daily life, this handbook is set to change the way research is done. Every behavioral scientist should own a copy."--Sam Gosling, PhD, Department of Psychology, University of Texas at Austin "This is an excellent and timely work of extraordinary breadth. It is both a primer for those new to daily experience research and a valuable reference for experienced researchers. Coverage ranges from conceptual foundations to applications and statistical methods, with discussions of self-report and objective measures; hardware and software; and research design, execution, and analysis. Rich with practical tips, this is truly a handbook that researchers will want to have close at hand as they navigate this exciting area. The book would serve superbly as a text for a graduate seminar."--Saul Shiffman, PhD, Department of Psychology, University of Pittsburgh "Over the last decades, as researchers focused on increasingly sophisticated but narrow methods and theories, many forgot that human beings live impressively complex lives outside the laboratory. In the real world, emotions, thinking patterns, biological activity, and social relationships are constantly interacting and changing in ways that are poorly understood. Some new sheriffs are in town. This remarkable handbook brings together some of the most innovative research in all of psychology, pointing to new ways of measuring natural behavior across a wide array of contexts. Expertly written and broad in scope, this book heralds a new generation of real-world research that will touch all of us in the years to come."--James W. Pennebaker, PhD, Regents Centennial Professor of Psychology, The University of Texas at Austin -Recommended. Upper-division graduates through faculty and professionals.--Choice Reviews, 10/1/2012Table of ContentsI. Theoretical Background1. Why Researchers Should Think “Real World”: A Conceptual Rationale, Harry T. Reis2. Why Researchers Should Think “Real Time”: A Cognitive Rationale, Norbert Schwarz3. Why Researchers Should Think “Within Person”: A Paradigmatic Rationale, Ellen L. Hamaker4. Conducting Research in Daily Life: A Historical Review, Peter Wilhelm, Meinrad Perrez, and Kurt PawlikII. Study Design Considerations and Methods of Data Collection5. Getting Started: Launching a Study in Daily Life, Tamlin S. Conner and Barbara J. Lehman6. Measurement Reactivity in Diary Research, William D. Barta, Howard Tennen, and Mark D. Litt7. Computerized Sampling of Experience and Behavior, Thomas Kubiak and Katharina Krog8. Daily Diary Methods, Kathleen C. Gunthert and Susan J. Wenze9. Event-Contingent Recording, D. S. Moskowitz and Gentiana Sadikaj10. Naturalistic Observation Sampling: The Electronically Activated Recorder (EAR), Matthias R. Mehl and Megan L. Robbins11. Ambulatory Psychoneuroendocrinology: Assessing Salivary Cortisol and Other Hormones in Daily Life, Wolff Schlotz12. Bridging the Gap between the Laboratory and the Real World: Integrative Ambulatory Psychophysiology, Frank H. Wilhelm, Paul Grossman, and Maren I. Müller13. Ambulatory Assessment of Movement Behavior: Methodology, Measurement, and Application, Johannes B. J. Bussmann and Ulrich W. Ebner-Priemer14. Passive Telemetric Monitoring: Novel Methods for Real-World Behavioral Assessment, Matthew S. Goodwin15. Emerging Technology for Studying Daily Life, Stephen S. IntilleIII. Data-Analytic Methods16. Power Analysis for Intensive Longitudinal Studies, Niall Bolger, Gertraud Stadler, and Jean-Philippe Laurenceau17. Psychometrics, Patrick E. Shrout and Sean P. Lane18. A Guide for Data Cleaning in Experience Sampling Studies, Kira O. McCabe, Lori Mack, and William Fleeson19. Techniques for Analyzing Intensive Longitudinal Data with Missing Values, Anne C. Black, Ofer Harel, and Gregory Matthews20. Multilevel Modeling Analyses of Diary-Style Data, John B. Nezlek21. Structural Equation Modeling of Ambulatory Assessment Data, Michael Eid, Delphine S. Courvoisier, and Tanja Lischetzke22. Analyzing Diary and Intensive Longitudinal Data from Dyads, Jean-Philippe Laurenceau and Niall Bolger23. Investigating Temporal Instability in Psychological Variables: Understanding the Real World as Time Dependent, Ulrich W. Ebner-Priemer and Timothy J. Trull24. Modeling Nonlinear Dynamics in Intraindividual Variability, Pascal R. Deboeck25. Within-Person Factor Analysis: Modeling How the Individual Fluctuates and Changes across Time, Annette Brose and Nilam Ram26. Multilevel Mediational Analysis in the Study of Daily Lives, Noel A. CardIV. Research Applications: Perspectives from the Different Fields27. Emotion Research, Adam A Augustine and Randy J. Larsen28. Close Relationships, Shelly L. Gable, Courtney L. Gosnell, and Thery Prok29. Personality Research, William Fleeson and Erik E. Noftle30. Cross-Cultural Research, William Tov and Christie Napa Scollon31. Positive Psychology, Jaime L. Kurtz and Sonja Lyubomirsky32. Health Psychology, Joshua M. Smyth and Kristin E. Heron33. Developmental Psychology, Joel M. Hektner34. Industrial/Organizational Psychology, Daniel J. Beal35. Clinical Psychology, Timothy J. Trull, Ulrich W. Ebner-Priemer, Whitney C. Brown, Rachel L. Tomko, and Emily M. Scheiderer36. Psychiatry, Inez Myin-Germeys

Read more less

Book SynopsisThis authoritative, engaging work examines the key role of relationships in child and adolescent development, from the earliest infant-caregiver transactions to peer interactions, friendships, and romantic partnerships. Sections cover foundational developmental science, the self and relationships, social behaviors, contexts for social development, and risk and resilience. Leading experts thoroughly review their respective areas and highlight the most compelling current issues, methods, and research directions. Pedagogical Features: *Structured to follow the sequence of a typical social development course. *Chapters are brief and can be assigned along with primary source readings. *Includes end-of-chapter suggested reading lists. *Coverage is broader and higher-level than other social development texts. *Designed with the needs of students in mind, in terms of writing style, size, and price.Trade Review"This volume covers exciting research advances in social development, with chapters from the best scholars in the field. It is an invaluable resource for social development researchers and an extraordinary text for graduate or upper-level undergraduate courses. Anyone interested in the social development of children and adolescents should read this book."--Martha J. Cox, PhD, Director, Center for Developmental Science, University of North Carolina at Chapel Hill"A great guide to social development in childhood and adolescence. Leading authorities provide comprehensive overviews that incorporate the foundations of the field, the latest findings, and cutting-edge research directions. Newcomers will learn essential information, while experts will have lots of interesting new ideas and findings to ponder. This book is an excellent text for both advanced undergraduate and graduate courses. It is organized around multiple themes (self and relationships, social behaviors, contexts, and risk and resilience), which provides a deeper perspective than any single theme could. The number and length of chapters make it easy to design a syllabus around. This book is truly a winner!"--Wyndol Furman, PhD, John Evans Professor and Director of Clinical Training, Department of Psychology, University of Denver"Underwood and Rosen are leaders in the field, and their contributors are active scholars who present both established and cutting-edge knowledge. Virtually every area of social and personality development has an excellent corresponding chapter. This is a go-to reference for students at all levels interested in the relationships that make us who we are, from the beginning of life to adolescence. I've used many chapters with great success in my advanced undergraduate personality and social development course."--Philip Rodkin, PhD, Department of Educational Psychology, University of Illinois at Urbana-Champaign-The editors have wisely chosen to narrow the field of child development enough to be able to provide a meaningful guide to an important area....Up-to-date research is presented in a clear style....The book is a useful resource for lecturing, and as a reading list recommendation it gives students an academically rigorous overview. For clinicians, it gives updates on literature and a reminder of why the assessment of childhood social relationships can be so valuable from the point of view of mental health and social adjustment. It is possible to dip in and out of this book or read it as a cohesive whole. I would highly recommend it to clinical and academic colleagues alike.--The Psychologist, 7/17/2011Table of ContentsI. Setting the Stage1. The Architecture of Social Developmental Science: Theoretical and Historical Perspectives, Ross A. Thompson and Miranda Goodman2. Biological Correlates of Social Development, Leslie J. Carver and Lisa Tully3. Temperament, Emotion Regulation, and Social Development, Susan D. Calkins and Jennifer S. MacklerII. Self and Relationships4. The Self and Identity, Lisa H. Rosen and Meagan M. Patterson5. Attachment Theory and Research in Developmental Psychology: An Overview and Appreciative Critique, Glenn I. Roisman and Ashley M. Groh6. Families, Parenting, and Discipline, George W. Holden, Brigitte Vittrup, and Lisa H. Rosen7. Peer Relations as a Developmental Context, William M. Bukowski, Duane Buhrmester, and Marion K. Underwood8. Romantic Relationships in Adolescence, Jennifer Connolly and Caroline McIsaacIII. Social Behaviors9. Aggression, Marion K. Underwood10. The Science of Moral Development, Lawrence J. Walker and Jeremy A. Frimer11. Prosocial Behavior, Joan E. Grusec and Amanda ShermanIV. Contexts for Social Development12. Gender, Campbell Leaper and Rebecca S. Bigler13. Race, Ethnicity, and Social Class, Nancy E. Hill and Dawn P. Witherspoon14. Child Care and Schools, Margaret Tresch Owen and Kristin L. Bub15. Culture, Thomas S. WeisnerV. Risk and Resilience16. Child Maltreatment and Social Relationships, Penelope K. Trickett and Sonya Negriff17. A Developmental Perspective on Risk, Resilience, and Prevention, Scott D. Gest and Alice J. Davidson

Read more less

Book SynopsisAppropriate for use in developmental research methods or analysis of change courses, this is the first methods handbook specifically designed to meet the needs of those studying development. Leading developmental methodologists present cutting-edge analytic tools and describe how and when to use them, in accessible, nontechnical language. They also provide valuable guidance for strengthening developmental research with designs that anticipate potential sources of bias. Throughout the chapters, research examples demonstrate the procedures in action and give readers a better understanding of how to match research questions to developmental methods. The companion website (www.guilford.com/laursen-materials) supplies data and program syntax files for many of the chapter examples.Trade Review"The study of developmental change is a cardinal activity of behavioral and social science, but determining how to do it has prompted denial, disagreement, and despair for nearly a century. The contributors to this excellent volume are an outstanding group whose qualifications for guiding the field at this point in our history are truly stellar. Graduate students and faculty members alike will find this well-organized, highly informative volume indispensable as they articulate questions, design research, and analyze data pertaining to the study of change."--John R. Nesselroade, PhD, Hugh Scott Hamilton Professor of Psychology, University of Virginia "In 41 chapters, this volume covers a very wide range of research methods, all extremely relevant to the developmental researcher. I know of no other handbook that even comes close to being so generally useful to young developmental researchers seeking to improve their knowledge of research methods. Numerous advanced topics are also treated--in many cases in depth--making the book valuable for methodologists as well. A highly commendable feature is the discussion of each method's applicability and assumptions."--Lars R. Bergman, PhD, Department of Psychology, Stockholm University, Sweden "This is perhaps the most comprehensive and accessible handbook on developmental methodology yet written. Impressively, the handbook both covers current thinking on longstanding, classic issues and presents cutting-edge developments in emergent areas of developmental research, analysis, and design. Unlike many edited volumes whose chapters vary widely in style, format, and technical detail, the book is unified in its approach and eminently readable. It would serve nicely as the core text for a graduate seminar on developmental research methods."--Daniel J. Bauer, PhD, Department of Psychology, University of North Carolina at Chapel Hill "The Handbook has an all-star roster of contributors who know both developmental and methodological issues. Especially impressive is that the volume covers a wide range of cutting-edge methodological issues at a level that is understandable to the practicing developmentalist. It is sure to be a valuable resource for decades to come for those who study change."--David A. Kenny, PhD, Department of Psychological Sciences, University of Connecticut "The editors have compiled a volume that could easily become a standard reference that defines a generation of developmental researchers. This is an ideal reference for researchers at any career stage seeking an accessible yet informative introduction to state-of-the-art methods. The illustrative applications to substantive problems in human development will be useful to methodologists interested in further developing these methods. The chapters interweave research design with data analysis, reflecting the complex interdependence of the two in developmental research."--Keith A. Markus, PhD, Department of Psychology, John Jay College of Criminal Justice, City University of New York "Comprehensive and consolidated, this volume is a 'one-stop shop' for methodological advances that need to be in every developmental scientist's tool box."--Antonio A. Morgan-Lopez, PhD, Department of Psychology, University of North Carolina at Chapel Hill-This Handbook is an impressive collection of methods that span the familiar through cutting edge…useful to developmental researchers at all career and experience levels….Does a preeminent job at providing coverage of sufficient breadth and depth, making it an essential volume for both graduate students and seasoned investigators studying human development. From the perspective of someone new to developmental research, the value of the six chapters on foundational issues cannot be overstated. These chapters could easily form the starting point for a graduate seminar in developmental research methods. The scope of topics covered…ensures that The Handbook of Developmental Research Methods will be relevant for many years to come. Researchers working across the life span will find several examples with topics in the study of childhood, adolescence, and adulthood. Researchers working with both normative and clinical populations will also find examples throughout the Handbook….The Handbook will also be valuable for methodologists.--International Journal of Social Research Methodology, 6/1/2014Table of ContentsI. Measurement and Design1. Foundational Issues of Design and Measurement in Developmental Research, Scott M. Hofer, Valgeir Thorvaldsson, and Andrea M. Piccinin2. Causal Inference, Identification, and Plausibility, E. Michael Foster3. Accelerated Longitudinal Designs, Susan C. Duncan and Terry E. Duncan4. Time-Scale-Dependent Longitudinal Designs, Theodore A. Walls, William D. Barta, Robert S. Stawski, Charles E. Collyer, and Scott M. Hofer5. Event Frequency Measurement, Brett Laursen, Jaap Denissen, and David F. Bjorklund6. The Impact of Scaling and Measurement Methods on Individual Differences in Growth, Susan E. Embretson and John Poggio7. Investigating Factorial Invariance in Longitudinal Data, Roger E. Millsap and Heining ChamII. Approaches to Data Collection8. Foundational Issues in Longitudinal Data Collection, Lea Pulkkinen and Katja Kokko9. The Use of Large-Scale Data Sets for the Study of Developmental Science, Pamela Davis-Kean and Justin Jager10. Telemetrics and Online Data Collection: Collecting Data at a Distance, Joshua Wilt, David M. Condon, and William Revelle11. Collecting and Analyzing Longitudinal Diary Data, Bernhard Schmitz, Julia Klug, and Silke Hertel12. Retrospective Methods in Developmental Science, Andrea Follmer Greenhoot13. Peer Ratings, William M. Bukowski, Antonius H. N. Cillessen, and Ana Maria VelásquezIII. Interindividual Longitudinal Analysis14. Foundational Issues in Investigating Development as Interindividual Variation, Jari-Erik Nurmi15. Analysis of Experimental and Quasi-Experimental Data: Pinpointing Explanations, Richard Gonzalez, Tianyi Yu, and Brenda Volling16. Autoregressive and Cross-Lagged Panel Analysis for Longitudinal Data, James P. Selig and Todd D. Little17. Analyzing Change between Two or More Groups: Analysis of Variance versus Analysis of Covariance, Kamala London and Daniel B. Wright18. Mediation Models for Developmental Data, Matthew S. Fritz and David P. MacKinnonIV. Intraindividual Longitudinal Analysis19. Foundational Issues in Intraindividual Longitudinal Analysis, Michael J. Rovine and Lawrence L. Lo20. Dynamic Factor Analysis and Control of Developmental Processes, Peter C. M. Molenaar and Lawrence L. Lo21. P-Technique Factor Analysis, Ihno A. Lee and Todd D. Little22. Hazard, Event History, and Survival Modeling, Margaret K. Keiley, Cassandra Kirkland, Ali Zaremba, and Ashley Anders JacksonV. Combining Interindividual and Intraindividual Longitudinal Analysis23. Foundational Issues in the Contemporary Modeling of Longitudinal Trajectories, John J. McArdle24. Growth Curve Modeling from a Structural Equation Modeling Perspective, Kevin J. Grimm and Nilam Ram25. Growth Curve Modeling from a Multilevel Model Perspective, Joop J. Hox and Jan Boom26. Nonlinear Growth Modeling, Shelley A. Blozis27. Group-Based Trajectory Modeling in Developmental Science, Daniel S. Nagin and Candice L. Odgers28. Longitudinal Mixture Models and the Identification of Archetypes: Action-Adventure, Mystery, Science Fiction, or Romance, Nilam Ram, Kevin J. Grimm, Lisa M. Gatzke-Kopp, and Peter C. M. Molenaar29. Multilevel Structural Equation Modeling, James A. Bovaird and Leslie H. ShawVI. Nonindependent Data Analysis30. Foundational Issues in Nonindependent Data Analysis, William L. Cook31. Dyadic Data Analyses in a Developmental Context, Robert A. Ackerman, M. Brent Donnellan, Deborah A. Kashy, and Rand D. Conger32. Applying the Social Relations Model to Developmental Research, Noel A. Card and Russell B. Toomey33. Analysis of Static Social Networks and Their Developmental Effects, Scott D. Gest and Thomas A. Kindermann34. Actor-Based Model for Network and Behavior Dynamics, René Veenstra and Christian SteglichVII. Special Topics in Data Analysis35. Configural Frequency Analysis in Developmental Research, Alexander von Eye, Eun-Young Mun, Richard M. Lerner, Jacqueline V. Lerner, and Edmond P. Bowers36. Cluster Analysis and Latent Class Clustering Techniques, Christine DiStefano37. Meta-Analysis in Developmental Science, Marinus H. van IJzendoorn, Marian J. Bakermans-Kranenburg, and Lenneke R. A. Alink38. Evaluating Gene–Environment Interplay, Mara Brendgen, Frank Vitaro, and Alain Girard39. Epidemic Models of the Onset of Social Activities, Joseph Lee Rodgers and Andrey Koval40. Dynamic Systems, Paul van Geert41. Planned Missing Data Designs for Developmental Research, Stephen A. Mistler and Craig K. Enders

Read more less

Book SynopsisThis trusted practitioner resource and course text is grounded in James Morrison's experience with more than 15,000 mental health patients. Morrison provides a complete framework for interviewing adult patients about their current symptoms, personal and family history, mental status, behavioral risks, and other relevant issues. He offers guidance for selecting the best strategy for any clinical situation, building rapport, overcoming common challenges, and communicating findings. Appendices include a detailed semistructured interview and a self-assessment tool for interviewers, both with permission to photocopy. Purchasers also get access to a webpage where they can download and print the reproducible materials in a convenient 8 1/2 x 11 size. New to This Edition *Revised throughout for DSM-5. *Updated resources and suggested readings. See also Morrison's DSM-5-TR Made Easy, which explains DSMdiagnoses in clear language, illustrated with vivid case viTrade Review"An absolute 'must read' for any clinician at any level of experience. This clearly written, highly practical, step-by-step guide to conducting the first interview is filled with wisdom. Morrison is sensitive to and respectful of the patient while recognizing the clinician's need to get as much information as possible. The Appendices are invaluable. I cannot think of another book that comes close to this masterpiece. Thank you, Dr. Morrison, for providing this essential guide."--Robert L. Leahy, PhD, Director, American Institute for Cognitive Therapy; Department of Psychiatry, Weill Cornell Medical College "With pressure to improve quality, availability, and the economic value of mental health care, an effective, efficient start to the therapeutic process is more important than ever. The First Interview, Fourth Edition, addresses the reality that whatever the therapist’s orientation, a successful therapeutic alliance depends on the first encounter. This gives the book universal appeal and will benefit novice and seasoned therapists alike. Science and personal experience are woven into a seamless work that reads like common sense but is based on a substantial body of evidence. In an easy-to-read, conversational tone, Morrison conveys empathic interviewing techniques that can win patients' trust and allow them to share the most intimate life details."--Gary J. Kennedy, MD, Department of Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine and Montefiore Medical Center "As a clinician educator who teaches interviewing, I have been searching for accessible reading material that incorporates DSM-5 and is appropriate for medical students, psychiatry residents, and multidisciplinary mental health care providers. My search is over! This book integrates DSM-5 and the latest research on interviewing without compromising the art of clinical care. Rather than rigidly applying diagnostic categories or theoretical frameworks, Morrison helps clinicians become attuned to the nuances of the interview in a way that will make patients feel heard and understood. I know that my patients and my trainees' future patients will receive more thorough, compassionate care as a result of the abundant clinical insights in this book."--Alana Iglewicz, MD, Department of Psychiatry, University of California, San Diego "Morrison has written one of the most comprehensive texts on the principles, techniques, and practice of initial interviewing. This book is indispensable for students first learning to work with clients, and is a valuable reference for experienced practitioners wishing to enhance their interviewing skills. Morrison presents sound and practical methods for establishing a warm and empathic therapeutic relationship, which in turn will help students and practitioners productively work with sensitive material."--Roy Jerome, PhD, Department of Psychiatry, Icahn School of Medicine at Mount Sinai -Table of ContentsIntroduction: What Is Interviewing? 1. Openings and Introductions 2. Chief Complaint and Free Speech 3. Developing Rapport 4. Managing the Early Patient Interview 5. History of the Present Illness 6. Getting the Facts about the Present Illness 7. Interviewing about Feelings 8. Personal and Social History 9. Sensitive Subjects 10. Control of the Later Interview 11. Mental Status Exam I: Behavioral Aspects 12. Mental Status Exam II: Cognitive Aspects 13. Signs and Symptoms in Areas of Clinical Interest 14. Closure 15. Interviewing Informants 16. Meeting Resistance 17. Special or Challenging Patient Behaviors and Issues 18. Diagnosis and Recommendations 19. Sharing Your Findings with the Patient 20. Communicating Your Findings to Others 21. Troubleshooting Your Interview Appendix A. Summary of the Initial Interview Appendix B. Descriptions of Selected Disorders Appendix C. Sample Interview, Written Report, and Formulation Appendix D. A Semistructured Interview Appendix E. Assessing Your Interview Appendix F. Bibliography and Recommended Reading

Read more less

Book SynopsisThis book is designed to help researchers better design and analyze observational data from quasi-experimental studies and improve the validity of research on causal claims. It provides clear guidance on the use of different propensity score analysis (PSA) methods, from the fundamentals to complex, cutting-edge techniques. Experts in the field introduce underlying concepts and current issues and review relevant software programs for PSA. The book addresses the steps in propensity score estimation, including the use of generalized boosted models, how to identify which matching methods work best with specific types of data, and the evaluation of balance results on key background covariates after matching. Also covered are applications of PSA with complex data, working with missing data, controlling for unobserved confounding, and the extension of PSA to prognostic score analysis for causal inference. User-friendly features include statistical program codes and application examples. DaTrade Review"Pan and Bai have assembled a comprehensive volume on all aspects of propensity score methods. Both the user and the statistician will find something to like in this book. I recommend it."--William R. Shadish, PhD, Distinguished Professor of Psychology, University of California, Merced "This book effectively synthesizes general principles of PSA with recent developments regarding complex issues such as estimation techniques, covariate balance, weighting, complex datasets, and sensitivity analysis. The discussion of statistical software and examples of computer code are helpful additions. This book will be useful to graduate students and applied researchers who are interested in learning about PSA for the first time or who have some knowledge and would like to learn about issues and recent developments. I recommend it as a textbook for graduate-level courses in methods of causal inference or as a reference for researchers in the social and biomedical sciences."--Suzanne E. Graham, EdD, Department of Education, University of New Hampshire "There is no question that this book will serve as an excellent resource for those who want to add PSA to their repertoire of analytical methods. The chapters provide sufficient materials and examples to help both newbies and seasoned analysts deal with the methodological and practical challenges of applying PSA in research work."--Xitao Fan, PhD, Chair Professor and Dean, Faculty of Education, University of Macau, China "This book is a go-to guide for designing and analyzing observational data. The editors have produced a brilliant work that addresses both methodological and practical issues in propensity score analysis. A 'must read' for all biostatisticians as well as applied researchers in the social, behavioral, and health sciences."--Ding-Geng (Din) Chen, PhD, School of Nursing and Department of Biostatistics and Computational Biology, University of Rochester Medical Center -Table of ContentsI. Fundamentals of Propensity Score Analysis 1. Propensity Score Analysis: Concepts and Issues, Wei Pan & Haiyan Bai 2. Overview of Implementing Propensity Score Analysis in Statistical Software, Megan Schuler II. Propensity Score Estimation, Matching, and Covariate Balance 3. Propensity Score Estimation with Boosted Regression, Lane F. Burgette, Daniel F. McCaffrey, & Beth Ann Griffin 4. Methodological Considerations in Implementing Propensity Score Matching, Haiyan Bai 5. Evaluating Covariate Balance, Cassandra W. Pattanayak III. Weighting Schemes and Other Strategies for Outcome Analysis after Matching 6. Propensity Score Adjustment Methods, M. H. Clark 7. Propensity Score Analysis with Matching Weights, Liang Li, Tom H. Greene, & Brian C. Sauer 8. Robust Outcome Analysis for Propensity-Matched Designs, Scott F. Kosten, Joseph W. McKean, & Bradley E. Huitema IV. Propensity Score Analysis on Complex Data 9. Latent Growth Modeling of Longitudinal Data with Propensity-Score-Matched Groups, Walter L. Leite 10. Propensity Score Matching on Multilevel Data, Qiu Wang 11. Propensity Score Analysis with Complex Survey Samples, Debbie L. Hahs-Vaughn V. Sensitivity Analysis and Extensions Related to Propensity Score Analysis 12. Missing Data in Propensity Scores, Robin Mitra 13. Unobserved Confounding in Propensity Score Analysis, Rolf H. H. Groenwold & Olaf H. Klungel 14. Propensity-Score-Based Sensitivity Analysis, Lingling Li, Changyu Shen, & Xiaochun Li 15. Prognostic Scores in Clustered Settings, Ben Kelcey & Christopher M. Swoboda Author Index Subject Index About the Editors Contributors

Read more less

Book SynopsisEmphasizing conceptual understanding over mathematics, this user-friendly text introduces linear regression analysis to students and researchers across the social, behavioral, consumer, and health sciences. Coverage includes model construction and estimation, quantification and measurement of multivariate and partial associations, statistical control, group comparisons, moderation analysis, mediation and path analysis, and regression diagnostics, among other important topics. Engaging worked-through examples demonstrate each technique, accompanied by helpful advice and cautions. The use of SPSS, SAS, and STATA is emphasized, with an appendix on regression analysis using R. The companion website (www.afhayes.com) provides datasets for the book's examples as well as the RLM macro for SPSS and SAS. Pedagogical Features: *Chapters include SPSS, SAS, or STATA code pertinent to the analyses described, with each distinctively formatted for easy identification. *An apTrade Review“This is a thorough and accessible introduction to regression analysis as conducted and reported in the psychology research literature. In addition to the basics, there is up-to-date coverage of more advanced topics--for example, interaction effects, path analysis, and mediation. Accompanying examples of statistical software code and output enable students to quickly utilize linear models in the analysis of their own data. This is the right textbook for first-year psychology graduate students, and I plan to continue using it."--Daniel Ozer, PhD, Department of Psychology, University of California, Riverside "This fantastic introduction to the general linear model takes the reader from first principles through to widely used techniques such as mediation and path analysis. The clear writing makes it a pleasure to read. Students will find the book an invaluable resource. There are plenty of insights, too, for even seasoned researchers and data analysts. Instructors and students will appreciate the logical structure and chapters that break the material up into manageable chunks."--Andy Field, PhD, Professor of Child Psychopathology, University of Sussex, United Kingdom "If you want to get the most bang for your buck out of your statistical training, investing in learning regression and linear models is the way to go. Nonetheless, many people find linear modeling to be confusing at first. This book breaks down all walls to mastering this fundamental analysis by providing a complete guide in an approachable, conversational style. The book begins with a comprehensive introduction to linear models and continues on to cover the most useful advanced topics, such as logistic regression and mediation and path analysis. A 'must-have' desk reference for entry-level learners and long-time practitioners alike."--Elizabeth Page-Gould, PhD, Canada Research Chair in Social Psychophysiology, University of Toronto "A terrific addition to the regression literature. I am often asked, 'How do I determine which regressor(s) is/are the most important?' The treatment of this topic is excellent, and the authors have done a fantastic job of bringing important issues to light. The applied nature of the text and the interweaving of software syntax and output are major improvements over similar books. I like the fact that the book has software package information for SPSS, SAS, and STATA. It has a nice balance; not too technical on the statistical side, but not simply a 'how to' on the software side. I could see this book being used as the main text in our department's graduate-level regression course."--Scott C. Roesch, PhD, Department of Psychology, San Diego State University "This is a great textbook for students who have only basic knowledge of statistics yet would like to gain a deep conceptual understanding of regression. The book is up to date in current methods in regression, with strong examples using SAS/SPSS/STATA.”--Chris Oshima, PhD, Department of Educational Policy Studies, Georgia State University -Table of ContentsList of Symbols and Abbreviations 1. Statistical Control and Linear Models 1.1 Statistical Control 1.1.1 The Need for Control 1.1.2 Five Methods of Control 1.1.3 Examples of Statistical Control 1.2 An Overview of Linear Models 1.2.1 What You Should Know Already 1.2.2 Statistical Software for Linear Modeling and Statistical Control 1.2.3 About Formulas 1.2.4 On Symbolic Representations 1.3 Chapter Summary 2. The Simple Regression Model 2.1 Scatterplots and Conditional Distributions 2.1.1 Scatterplots 2.1.2 A Line through Conditional Means 2.1.3 Errors of Estimate 2.2 The Simple Regression Model 2.2.1 The Regression Line 2.2.2 Variance, Covariance, and Correlation 2.2.3 Finding the Regression Line 2.2.4 Example Computations 2.2.5 Linear Regression Analysis by Computer 2.3 The Regression Coefficient versus the Correlation Coefficient 2.3.1 Properties of the Regression and Correlation Coefficients 2.3.2 Uses of the Regression and Correlation Coefficients 2.4 Residuals 2.4.1 The Three Components of Y 2.4.2 Algebraic Properties of Residuals 2.4.3 Residuals as Y Adjusted for Differences in X 2.4.4 Residual Analysis 2.5 Chapter Summary 3. Partial Relationship and the Multiple Regression Model 3.1 Regression Analysis with More Than One Predictor Variable 3.1.1 An Example 3.1.2 Regressors 3.1.3 Models 3.1.4 Representing a Model Geometrically 3.1.5 Model Errors 3.1.6 An Alternative View of the Model 3.2 The Best-Fitting Model 3.2.1 Model Estimation with Computer Software 3.2.2 Partial Regression Coefficients 3.2.3 The Regression Constant 3.2.4 Problems with Three or More Regressors 3.2.5 The Multiple Correlation R 3.3 Scale-Free Measures of Partial Association 3.3.1 Semipartial Correlation 3.3.2 Partial Correlation 3.3.3 The Standardized Regression Coefficient 3.4 Some Relations among Statistics 3.4.1 Relations among Simple, Multiple, Partial, and Semipartial Correlations 3.4.2 Venn Diagrams 3.4.3 Partial Relationships and Simple Relationships May Have Different Signs 3.4.4 How Covariates Affect Regression Coefficients 3.4.5 Formulas for bj, prj, srj, and R 3.5 Chapter Summary 4. Statistical Inference in Regression 4.1 Concepts in Statistical Inference 4.1.1 Statistics and Parameters 4.1.2 Assumptions for Proper Inference 4.1.3 Expected Values and Unbiased Estimation 4.2 The ANOVA Summary Table 4.2.1 Data = Model + Error 4.2.2 Total and Regression Sums of Squares 4.2.3 Degrees of Freedom 4.2.4 Mean Squares 4.3 Inference about the Multiple Correlation 4.3.1 Biased and Less Biased Estimation of TR2 4.3.2 Testing a Hypothesis about TR 4.4 The Distribution of and Inference about a Partial Regression Coefficient 4.4.1 Testing a Null Hypothesis about Tbj 4.4.2 Interval Estimates for Tbj 4.4.3 Factors Affecting the Standard Error of bj 4.4.4 Tolerance 4.5 Inferences about Partial Correlations 4.5.1 Testing a Null Hypothesis about Tprj and Tsrj 4.5.2 Other Inferences about Partial Correlations 4.6 Inferences about Conditional Means 4.7 Miscellaneous Issues in Inference 4.7.1 How Great a Drawback Is Collinearity? 4.7.2 Contradicting Inferences 4.7.3 Sample Size and Nonsignificant Covariates 4.7.4 Inference in Simple Regression (When k = 1) 4.8 Chapter Summary 5. Extending Regression Analysis Principles 5.1 Dichotomous Regressors 5.1.1 Indicator or Dummy Variables 5.1.2 Y Is a Group Mean 5.1.3 The Regression Coefficient for an Indicator Is a Difference 5.1.4 A Graphic Representation 5.1.5 A Caution about Standardized Regression Coefficients for Dichotomous Regressors 5.1.6 Artificial Categorization of Numerical Variables 5.2 Regression to the Mean 5.2.1 How Regression Got Its Name 5.2.2 The Phenomenon 5.2.3 Versions of the Phenomenon 5.2.4 Misconceptions and Mistakes Fostered by Regression to the Mean 5.2.5 Accounting for Regression to the Mean Using Linear Models 5.3 Multidimensional Sets 5.3.1 The Partial and Semipartial Multiple Correlation 5.3.2 What It Means If PR = 0 or SR = 0 5.3.3 Inference Concerning Sets of Variables 5.4 A Glance at the Big Picture 5.4.1 Further Extensions of Regression 5.4.2 Some Difficulties and Limitations 5.5 Chapter Summary 6. Statistical versus Experimental Control 6.1 Why Random Assignment? 6.1.1 Limitations of Statistical Control 6.1.2 The Advantage of Random Assignment 6.1.3 The Meaning of Random Assignment 6.2 Limitations of Random Assignment 6.2.1 Limitations Common to Statistical Control and Random Assignment 6.2.2 Limitations Specific to Random Assignment 6.2.3 Correlation and Causation 6.3 Supplementing Random Assignment with Statistical Control 6.3.1 Increased Precision and Power 6.3.2 Invulnerability to Chance Differences between Groups 6.3.3 Quantifying and Assessing Indirect Effects 6.4 Chapter Summary 7. Regression for Prediction 7.1 Mechanical Prediction and Regression 7.1.1 The Advantages of Mechanical Prediction 7.1.2 Regression as a Mechanical Prediction Method 7.1.3 A Focus on R Rather Than the Regression Weights 7.2 Estimating True Validity 7.2.1 Shrunken versus Adjusted R 7.2.2 Estimating TRS 7.2.3 Shrunken R Using Statistical Software 7.3 Selecting Predictor Variables 7.3.1 Stepwise Regression 7.3.2 All Subsets Regression 7.3.3 How Do Variable Selection Methods Perform? 7.4 Predictor Variable Configurations 7.4.1 Partial Redundancy (the Standard Configuration) 7.4.2 Complete Redundancy 7.4.3 Independence 7.4.4 Complementarity 7.4.5 Suppression 7.4.6 How These Configurations Relate to the Correlation between Predictors 7.4.7 Configurations of Three or More Predictors 7.5 Revisiting the Value of Human Judgment 7.6 Chapter Summary 8. Assessing the Importance of Regressors 8.1 What Does It Mean for a Variable to Be Important? 8.1.1 Variable Importance in Substantive or Applied Terms 8.1.2 Variable Importance in Statistical Terms 8.2 Should Correlations Be Squared? 8.2.1 Decision Theory 8.2.2 Small Squared Correlations Can Reflect Noteworthy Effects 8.2.3 Pearson’s r as the Ratio of a Regression Coefficient to Its Maximum Possible Value 8.2.4 Proportional Reduction in Estimation Error 8.2.5 When the Standard Is Perfection 8.2.6 Summary 8.3 Determining the Relative Importance of Regressors in a Single Regression Model 8.3.1 The Limitations of the Standardized Regression Coefficient 8.3.2 The Advantage of the Semipartial Correlation 8.3.3 Some Equivalences among Measures 8.3.4 Cohen’s f 2 8.3.5 Comparing Two Regression Coefficients in the Same Model 8.4 Dominance Analysis 8.4.1 Complete and Partial Dominance 8.4.2 Example Computations 8.4.3 Dominance Analysis Using a Regression Program 8.5 Chapter Summary 9. Multicategorical Regressors 9.1 Multicategorical Variables as Sets 9.1.1 Indicator (Dummy) Coding 9.1.2 Constructing Indicator Variables 9.1.3 The Reference Category 9.1.4 Testing the Equality of Several Means 9.1.5 Parallels with Analysis of Variance 9.1.6 Interpreting Estimated Y and the Regression Coefficients 9.2 Multicategorical Regressors as or with Covariates

Read more less

Book SynopsisAuthoritative and comprehensive, this volume provides a contemporary psychodynamic perspective on frequently encountered psychological disorders in adults, children, and adolescents. Leading international authorities review the growing evidence base for psychoanalytic theories and therapeutic models. Chapters examine the etiology and psychological mechanisms of each disorder and thoroughly describe effective treatment strategies. Highly accessible, the book is richly illustrated with clinical case material. It demonstrates ways in which psychodynamic theory and therapy are enhanced by integrating ideas and findings from neuroscience, social and personality psychology, cognitive-behavioral therapy, and other fields. Winner--Goethe Award for Psychoanalytic and Psychodynamic ScholarshipTrade Review"Bringing together some of our most distinguished psychoanalytic clinicians and researchers, this volume is a rare treasure trove of contemporary psychodynamic thinking and practice rooted in an evidence-based framework. It is set to become essential reading for mental health professionals in training and beyond."--Alessandra Lemma, DClinPsych, Visiting Professor, Psychoanalysis Unit, University College London, United Kingdom "This magnificent handbook not only demonstrates the tremendous richness of psychodynamic thinking about psychopathology, but also links it to empirical research and to neighboring disciplines like personality and social psychology, psychiatry, and neuroscience. I highly recommend this unique volume to anyone interested in the empirical validation of contemporary psychodynamic concepts."--Stephan Doering, MD, Professor and Director, Department of Psychoanalysis and Psychotherapy, Medical University of Vienna, Austria "From stellar editors and contributors, this impressive volume is a thoughtful gift to the field. Its perspectives on psychopathology are cutting edge and empirically supported. Readers from graduate students to senior clinicians and researchers will find this book invaluable."--J. Christopher Muran, PhD, Derner Institute of Advanced Psychological Studies, Adelphi University; Director, Mount Sinai Beth Israel Psychotherapy Research Program -The greatest contribution of this volume is its in-depth empirical evaluation of the many theoretical and clinical concepts it presents….Can promote the reintegration of psychodynamic principles into the general mental health field and encourage the further development of an empirical basis for psychodynamic constructs and techniques.--Journal of the American Psychoanalytic Association, 08/01/2016Table of ContentsI. Theoretical Background 1. Theoretical and Empirical Foundations of Contemporary Psychodynamic Approaches, Patrick Luyten, Linda C. Mayes, Sidney J. Blatt, Mary Target, & Peter Fonagy 2. Attachment-Related Contributions to the Study of Psychopathology, Mario Mikulincer & Phillip R. Shaver 3. The Developmental Perspective, Norka Malberg & Linda C. Mayes 4. Neuroscience and Psychoanalysis, Andrew J. Gerber, Jane Viner, & Joshua Roffman 5. The Psychodynamic Approach to Diagnosis and Classification, Patrick Luyten & Sidney J. Blatt 6. Defenses as a Transdiagnostic Window on Psychopathology, Robert J. Waldinger & Marc S. Schulz II. Psychopathology in Adults 7. Depression, Sidney J. Blatt 8. Generalized Anxiety Disorder and Other Anxiety Disorders, Fredric N. Busch & Barbara L. Milrod 9. Trauma, Jon G. Allen & Peter Fonagy 10. Obsessive–Compulsive Disorder, Guy Doron, Mario Mikulincer, Michael Kyrios, & Dar Sar-El 11. Substance Use Disorders, William H. Gottdiener & Jesse J. Suh 12. Eating Disorders, Heather Thompson-Brenner & Lauren K. Richards 13. Psychosis, Susanne Harder & Bent Rosenbaum 14. Functional Somatic Disorders, Patrick Luyten, Manfred Beutel, & Golan Shahar 15. Personality Disorders, Kevin B. Meehan & Kenneth N. Levy 16. Dependent Personality Disorder, Robert F. Bornstein 17. Borderline Personality Disorder, John F. Clarkin, Peter Fonagy, Kenneth N. Levy, & Anthony Bateman III. Psychopathology in Childhood and Adolescence 18. Child–Parent Psychotherapy in the Treatment of Infants and Young Children with Internalizing Disorders, Maria S. St. John & Alicia F. Lieberman 19. Conduct Disorders, Jonathan Hill & Helen Sharp 20. Attachment Disorders, Miriam Steele & Howard Steele 21. Reflective and Mindful Parenting: A New Relational Model of Assessment, Prevention, and Early Intervention, John Grienenberger, Wendy Denham, & Diane Reynolds 22. Working with Families, Trudie Rossouw IV. Process and Outcome in Psychodynamic Psychotherapies 23. Efficacy of Psychodynamic Psychotherapy in Specific Mental Disorders: An Update, Falk Leichsenring, Johannes Kruse, & Sven Rabung 24. Beyond Transference: Fostering Growth Through Therapeutic Immediacy, Jared A. DeFife, Mark J. Hilsenroth, & Klara Kuutmann 25. Future Perspectives: A Research Agenda, Linda C. Mayes, Patrick Luyten, Sidney J. Blatt, Peter Fonagy, & Mary Target

Read more less

Book SynopsisResponding to evaluator and instructor demand, this book presents a diverse set of high-quality developmental evaluation (DE) case studies. Twelve insightful exemplars illustrate how DE is used to evaluate innovative initiatives in complex, dynamic environments, including a range of fields and international settings. Written by leading practitioners, chapters offer a rare window into what it takes to do DE, what roles must be fulfilled, and what results can be expected. Each case opens with an incisive introduction by the editors. The book also addresses frequently asked questions about DE, synthesizes key themes and lessons learned from the exemplars, and identifies eight essential principles of DE. See also Michael Quinn Patton's Developmental Evaluation, the authoritative presentation of DE.Trade Review"Central to this book is the notion that DE is principle-driven (a most refreshing change away from ‘best practices’). DE is about learning and adjusting innovations for systems change, providing a basis for evaluations that embrace adaptation as conditions shift. Whether you are an evaluation student, instructor, or practitioner, the cases will help you learn your way into DE. Use them as part of your ongoing apprenticeship, as DE is learned through practice. You will appreciate the emphasis on the readiness conditions needed for DE to flourish. For anyone committed to participatory inquiry and action research, this book will become a trusted companion."--Ricardo Ramirez, PhD, independent researcher and evaluation consultant, Guelph, Ontario, Canada "The contributors delve into the 'whats,' 'whys', and 'how-tos' of this powerful, adaptive model of evaluation. Chapters highlight key conceptual linkages to systems thinking and complexity theory and show how these ideas can come to life with community stakeholders and policymakers. The case studies are a treasure trove of powerful stories, practical guidance, and teaching tools that bring DE to life across populations, cultures, settings, and nations. Developmental Evaluation Exemplars represents a significant advancement in the theory, methods, and practice of evaluation and systems change."--Rebecca Campbell, PhD, Department of Psychology, Michigan State University "The field has been waiting for a book like this one. A well-balanced, diverse set of authors focus on good examples of DE practice. The book shows how innovative projects and programs require evaluation practices and approaches that honor complexity, flexibility, and systems thinking. It describes with clarity how DE actually happens in complex ecologies and settings across the globe. This book is written for any serious student of evaluation at the graduate or postgraduate level. I am very happy to add it to my shelf of required and recommended materials for my classes in education policy and evaluation."--Rodney Hopson, PhD, Department of Educational Psychology, University of Illinois at Urbana–Champaign "This book demonstrates that DE is not just about applying tools and methods; it's about how evaluators can think more creatively, critically, strategically, and rigorously. It’s also about building trusting, credible, ethical relationships. The exemplars will challenge you to bring forth your best thinking and relating as an evaluator."--Beverly A. Parsons, PhD, Executive Director, InSites, Fort Collins, Colorado -An excellent resource for anyone who needs to use this type of evaluation method.--Doody's Review Service, 2/29/2016Table of Contents1. State of the Art and Practice of Developmental Evaluation: Answers to Common and Recurring Questions, Michael Quinn Patton 2. Cultural Responsivenessthrough Developmental Evaluation: Indigenous Innovations in Sport and Traditional Maori Recreation, Nan Wehipeihana, Kate McKegg,Veronica Thompson, & Kataraina Pipi 3. Using Developmental Evaluation to Support College Access and Success: Challenge Scholars, Srik Gopal, Katelyn Mack, & Cris Kutzli 4.Nine Guiding Principles to Help Youth Overcome Homelessness: A Principles-Focused Developmental Evaluation, Nora F. Murphy 5. Fostering Learning through Developmental Evaluation with a Nontraditional Arts Organization and a Traditional Community Funder, Jamie Gamble, Shawn Van Sluys, & Lisa Watson 6. Scienceand How We Care for Needy Young Children: The Frontiers of Innovation Initiative, Julie Asher, Nathaniel Foote, James Radner, & Tassy Warren 7. Developmental Evaluation’s Role in Supporting Community-Led Solutions for Maori and Pacific Young People’s Educational Success: The ASB Community Trust Maori and Pacific Education Initiative, Kate McKegg, Nan Wehipeihana, Moi Becroft, & Jennifer Gill 8. Developmental Evaluation in the McKnight Foundation’s Collaborative Crop Research Program: A Journey of Discovery, Marah Moore & Jane Maland Cady 9. An Example of Patch Evaluation: Vibrant Communities Canada, Mark Cabaj, Eric Leviten-Reid, Dana Vocisano, & Mabel Jean Rawlins 10. Outcome Harvesting: ADevelopmental Evaluation Inquiry Framework Supporting the Development of an International Social Change Network, Ricardo Wilson-Grau, Paul Kosterink, & Goele Scheers 11. Adapted Developmental Evaluation with USAID’s People-to-People Reconciliation Fund Program, Susan M. Allen, David Hunsicker, Mathias Kjaer, Rebekah Krimmel, Gabrielle Plotkin, & Kelly Skeith 12. Creating Safety to Explore:Strengthening Innovation in an Australian Indigenous Primary Health Care Settingthrough Developmental Evaluation, Samantha Togni, Deborah Askew, Lynne Rogers, Nichola Potter, Sonya Egert, Noel Hayman, Alan Cass, & Alex Brown 13. Leadership’s Role in Building the Education Sector’s Capacity to Use Evaluative Thinking: The Example of the Ontario Ministry of Education, Keiko Kuji-Shikatani, Mary Jean Gallagher, Richard Franz, & Megan Börner 14. Developmental Evaluation in Synthesis: Practitioners’ Perspectives, Kate McKegg & Nan Wehipeihana 15. The Developmental Evaluation Mindset: Eight Guiding Principles, Michael Quinn Patton

Read more less

Book SynopsisPreparing students to become informed, critical consumers of research, this accessible text builds essential skills for understanding research reports, evaluating the implications for evidence-based practice, and communicating findings to different audiences. It demystifies qualitative, quantitative, and mixed methods designs and provides step-by-step procedures for judging the strengths and limitations of any study. Excerpts from real research reports are used as opportunities to develop methodological knowledge and practice analytic skills. Based on sound pedagogic principles, the text is structured for diverse learning styles: visual learners (concept maps, icons), active learners (building-block exercises and templates for writing), and story learners (examples, reading guides, and reflections). Pedagogical Features *Rubrics, checklists of steps to take, and reading guides that walk students through analyzing different types of research articles. *Journal abstracTrade Review"At last, we have a clearly written and extremely accessible book on research--both qualitative and quantitative--for students and others reading (and doing) research! Readers learn all the conventions of research that people usually have to discover on their own, such as how to cite people, use APA style, and even how to list references. The book explains when and how a researcher would use both qualitative and quantitative methods, including ways to use them together. The chapter on ethnography provides one of the best descriptions of this method and its complexities that I have seen."--Ann Lieberman, EdD, Senior Scholar, Stanford Center for Opportunity Policy in Education, Stanford University "As a teacher educator, I am concerned that my students develop the ability to understand just what the research in their field does and does not say, and the implications for practice. This very useful text will serve that goal. It is appropriate for introductory educational research courses for both preservice and inservice education students. I appreciate that the text is designed for readers with a variety of cognitive styles, and that it uses visual representations and concept maps to explain research processes. It discusses the assumptions and methodologies employed by different research designs and provides a great understanding of the limitations of descriptive research (especially test reports) to drive policy."--Katherine K. Merseth, EdD, Senior Lecturer and Director of Teacher Education, Harvard Graduate School of Education "The emphasis on research literacy is essential in training forward-thinking educators. Most students at the master's level will not be engaged in deep experimental research, but as future practitioners, they will need to understand the published research and conduct 'in-house' studies. That is where this book can serve its most important function. The discussion of sampling (often the weakest link in a research study) is very good. The final chapter, on doing reviews--a frequently overlooked topic--brings everything together and serves as an excellent synthesis."--Louis Berry, PhD, School of Education (Emeritus), University of Pittsburgh "This is a good introduction-to-research text, particularly for students not interested in doing research. The material on critiquing research articles is first-rate. You could depend on a student being able to critique a research article after successfully completing a course using this text."--Marilyn Petty Glick, PhD, Instructor, Department of Education, Indiana University Kokomo "I like the concept maps and the end-of-chapter resources and performance tasks."--Norma K. Clark, PhD, former director, Graduate Programs in Education, Delaware State University "The authors succinctly and logically summarize the salient features and designs most commonly aligned with qualitative researchers. They provide appropriate examples of scholarly work to illustrate the various designs."--Susan Kushner Benson, PhD, Department of Educational Foundations and Leadership, University of Akron -Table of ContentsI. Introduction to Research and Information Literacy 1. Introduction to Research Literacy 2. Information Literacy: Accessing and Searching Digital Resources II. Qualitative Research 3. Qualitative Research: Introduction and Overview 4. Ethnography 5. Other Qualitative Designs III. Quantitative Research: The Basics 6. Introduction to Quantitative Research 7. Descriptive Statistics and Data Displays IV. Experimental Research 8. Introduction to Experimental Research 9. Factorial Designs: Between-Group and Repeated-Measures Designs 10. Single-Subject Research and Designs V. Nonexperimental Research 11. Nonexperimental Group Comparisons 12. Correlations Research VI. Mixing and Creating Methods 13. Mixed Methods Research 14. Program Evaluation and Teacher Evaluation 15. Practitioner Research VII. Research Reviews 16. Professional Research Reviews 17. Writing a Student Review Essay Appendix. Sample Answers to Review Questions

Read more less

Book SynopsisPreparing students to become informed, critical consumers of research, this accessible text builds essential skills for understanding research reports, evaluating the implications for evidence-based practice, and communicating findings to different audiences. It demystifies qualitative, quantitative, and mixed methods designs and provides step-by-step procedures for judging the strengths and limitations of any study. Excerpts from real research reports are used as opportunities to develop methodological knowledge and practice analytic skills. Based on sound pedagogic principles, the text is structured for diverse learning styles: visual learners (concept maps, icons), active learners (building-block exercises and templates for writing), and story learners (examples, reading guides, and reflections). Pedagogical Features *Rubrics, checklists of steps to take, and reading guides that walk students through analyzing different types of research articles. *Journal abstracTrade Review"At last, we have a clearly written and extremely accessible book on research--both qualitative and quantitative--for students and others reading (and doing) research! Readers learn all the conventions of research that people usually have to discover on their own, such as how to cite people, use APA style, and even how to list references. The book explains when and how a researcher would use both qualitative and quantitative methods, including ways to use them together. The chapter on ethnography provides one of the best descriptions of this method and its complexities that I have seen."--Ann Lieberman, EdD, Senior Scholar, Stanford Center for Opportunity Policy in Education, Stanford University "As a teacher educator, I am concerned that my students develop the ability to understand just what the research in their field does and does not say, and the implications for practice. This very useful text will serve that goal. It is appropriate for introductory educational research courses for both preservice and inservice education students. I appreciate that the text is designed for readers with a variety of cognitive styles, and that it uses visual representations and concept maps to explain research processes. It discusses the assumptions and methodologies employed by different research designs and provides a great understanding of the limitations of descriptive research (especially test reports) to drive policy."--Katherine K. Merseth, EdD, Senior Lecturer and Director of Teacher Education, Harvard Graduate School of Education "The emphasis on research literacy is essential in training forward-thinking educators. Most students at the master's level will not be engaged in deep experimental research, but as future practitioners, they will need to understand the published research and conduct 'in-house' studies. That is where this book can serve its most important function. The discussion of sampling (often the weakest link in a research study) is very good. The final chapter, on doing reviews--a frequently overlooked topic--brings everything together and serves as an excellent synthesis."--Louis Berry, PhD, School of Education (Emeritus), University of Pittsburgh "This is a good introduction-to-research text, particularly for students not interested in doing research. The material on critiquing research articles is first-rate. You could depend on a student being able to critique a research article after successfully completing a course using this text."--Marilyn Petty Glick, PhD, Instructor, Department of Education, Indiana University Kokomo "I like the concept maps and the end-of-chapter resources and performance tasks."--Norma K. Clark, PhD, former director, Graduate Programs in Education, Delaware State University "The authors succinctly and logically summarize the salient features and designs most commonly aligned with qualitative researchers. They provide appropriate examples of scholarly work to illustrate the various designs."--Susan Kushner Benson, PhD, Department of Educational Foundations and Leadership, University of Akron -Table of ContentsI. Introduction to Research and Information Literacy 1. Introduction to Research Literacy 2. Information Literacy: Accessing and Searching Digital Resources II. Qualitative Research 3. Qualitative Research: Introduction and Overview 4. Ethnography 5. Other Qualitative Designs III. Quantitative Research: The Basics 6. Introduction to Quantitative Research 7. Descriptive Statistics and Data Displays IV. Experimental Research 8. Introduction to Experimental Research 9. Factorial Designs: Between-Group and Repeated-Measures Designs 10. Single-Subject Research and Designs V. Nonexperimental Research 11. Nonexperimental Group Comparisons 12. Correlations Research VI. Mixing and Creating Methods 13. Mixed Methods Research 14. Program Evaluation and Teacher Evaluation 15. Practitioner Research VII. Research Reviews 16. Professional Research Reviews 17. Writing a Student Review Essay Appendix. Sample Answers to Review Questions

Read more less

Book SynopsisGrounded in current knowledge and professional practice, this book provides up-to-date coverage of psychometric theory, methods, and interpretation of results. Essential topics include measurement and statistical concepts, scaling models, test design and development, reliability, validity, factor analysis, item response theory, and generalizability theory. Also addressed are norming and test equating, topics not typically covered in traditional psychometrics texts. Examples drawn from a dataset on intelligence testing are used throughout the book, elucidating the assumptions underlying particular methods and providing SPSS (or alternative) syntax for conducting analyses. The companion website presents datasets for all examples as well as PowerPoint slides of figures and key concepts. Pedagogical features include equation boxes with explanations of statistical notation, and end-of-chapter glossaries. The Appendix offers extensions of the topical chapters with example source code fromTrade Review“I like the book and it meshes well with what I plan to do in my course. I particularly like the generalizability theory, norms and test equating, scaling, and validation process chapters. It is very easy reading--I am planning to use the book next spring."--R. J. de Ayala, PhD, Chair of Educational Psychology, University of Nebraska–Lincoln "I encourage all psychologists and educators to read this marvelous book. I learned a lot from reading it. The key terms are very useful, as are the chapter summaries. Readers of all levels will find material relevant to them, including SPSS code and GfGc datasets on intelligence that will be quite useful in trying out the ideas. I give this book my highest recommendation and think it will be a great classroom text."--John J. McArdle, PhD, Department of Psychology, University of Southern California "This book is both comprehensive and accessible, laying the foundation for all the requisite skills needed to be both a successful consumer and producer of psychometrics. Scholars who are unfamiliar with measurement could easily teach themselves from this text, becoming quite proficient at psychometrics. There is excellent integration of quantitative statistics throughout, so that readers will be able not only to understand the psychometric concepts, but also to apply their knowledge. This is a useful text for a graduate-level Psychometric Methods or Measurement class."--Debbie L. Hahs-Vaughn, PhD, Department of Educational and Human Sciences, University of Central Florida "An encyclopedia of psychometric issues--a real 'must have' for anyone teaching Tests and Measurement or Research Methods, or directing student research projects. The book's high level of detail makes it invaluable for any professional who works with, creates, or analyzes psychometric material. The use of intelligence testing data throughout the chapters helps bring cohesiveness."--John Wallace, PhD, Department of Psychological Science, Ball State University "With vast expertise in psychometric instrument development, statistical applications, and research, Price has produced a theoretically informed, practical volume. Professionals in health-related fields will find this book extremely valuable for guidance in the development of rigorous instruments, such as patient-reported outcome measures. Featuring examples using a range of software, this text is ideal for graduate courses on measurement in schools of medicine, public health, nursing, or health professions."--Byron J. Gajewski, PhD, Department of Biostatistics, University of Kansas Medical Center-This book is suitable for emerging assessment professionals and practitioners who are interested in learning psychometrics but with little knowledge in statistics. It provides not only a theoretical foundation to the topics but also worked examples to highlight their practical applications. The syntax, output, and interpretations based on software programs like SPSS and BILOG-MG will help readers to bridge theory and methods with hands-on examples. This book would be a convenient toolbox for applied researchers who would like to conduct psychometric analyses, and it would also serve as a handbook for graduate students who study measurement and psychometrics.--Psychometrika, 03/29/2019ƒƒThis excellent book explores the basic concepts of psychometric knowledge and practice….This would be a great addition to the libraries of graduate students and researchers.--Doody's Review Service, 03/17/2017Table of Contents1. Introduction 1.1 Psychological Measurement and Tests 1.2 Tests and Samples of Behavior 1.3 Types of Tests 1.4 Origin of Psychometrics 1.5 Definition of Measurement 1.6 Measuring Behavior 1.7 Psychometrics and Its Importance to Research and Practice 1.8 Organization of This Book Key Terms and Definitions 2. Measurement and Statistical Concepts 2.1 Introduction 2.2 Numbers and Measurement 2.3 Properties of Measurement in Relation to Numbers 2.4 Levels of Measurement 2.5 Contemporary View on the Levels of Measurement and Scaling 2.6 Statistical Foundations for Psychometrics 2.7 Variables, Frequency Distributions, and Scores 2.8 Summation or Sigma Notation 2.9 Shape, Central Tendency, and Variability of Score Distributions 2.10 Correlation, Covariance, and Regression 2.11 Summary Key Terms and Definitions 3. Criterion, Content, and Construct Validity 3.1 Introduction 3.2 Criterion Validity 3.3 Essential Elements of a High-Quality Criterion 3.4 Statistical Estimation of Criterion Validity 3.5 Correction for Attenuation 3.6 Limitations to Using the Correction for Attenuation 3.7 Estimating Criterion Validity with Multiple Predictors: Partial Correlation 3.8 Estimating Criterion Validity with Multiple Predictors: Higher-Order Partial Correlation 3.9 Coefficient of Multiple Determination and Multiple Correlation 3.10 Estimating Criterion Validity with More Than One Predictor: Multiple Linear Regression 3.11 Regression Analysis for Estimating Criterion Validity: Development of the Regression Equation 3.12 Unstandardized Regression Equation for Multiple Regression 3.13 Testing the Regression Equation for Significance 3.14 Partial Regression Slopes 3.15 Standardized Regression Equation 3.16 Predictive Accuracy of a Regression Analysis 3.17 Predictor Subset Selection in Regression 3.18 Summary Key Terms and Definitions 4. Statistical Aspects of the Validation Process 4.1 Techniques for Classification and Selection 4.2 Discriminant Analysis 4.3 Multiple-Group Discriminant Analysis 4.4 Logistic Regression 4.5 Logistic Multiple Discriminant Analysis: Multinomial Logistic Regression 4.6 Model Fit in Logistic Regression 4.7 Content Validity 4.8 Limitations of the Content Validity Model 4.9 Construct Validity 4.10 Establishing Evidence of Construct Validity 4.11 Correlational Evidence of Construct Validity 4.12 Group Differentiation Studies of Construct Validity 4.13 Factor Analysis and Construct Validity 4.14 Multitrait–Multimethod Studies 4.15 Generalizability Theory and Construct Validity 4.16 Summary and Conclusions Key Terms and Definitions 5. Scaling 5.1 Introduction 5.2 A Brief History of Scaling 5.3 Psychophysical versus Psychological Scaling 5.4 Why Scaling Models Are Important 5.5 Types of Scaling Models 5.6 Stimulus-Centered Scaling 5.7 Thurstone’s Law of Comparative Judgment 5.8 Response-Centered Scaling 5.9 Scaling Models Involving Order 5.10 Guttman Scaling 5.11 The Unfolding Technique 5.12 Subject-Centered Scaling 5.13 Data Organization and Missing Data 5.14 Incomplete and Missing Data 5.15 Summary and Conclusions Key Terms and Definitions 6. Test Development 6.1 Introduction 6.2 Guidelines for Test and Instrument Development 6.3 Item Analysis 6.4 Item Difficulty 6.5 Item Discrimination 6.6 Point–Biserial Correlation 6.7 Biserial Correlation 6.8 Phi Coefficient 6.9 Tetrachoric Correlation 6.10 Item Reliability and Validity 6.11 Standard Setting 6.12 Standard-Setting Approaches 6.13 The Nedelsky Method 6.14 The Ebel Method 6.15 The Angoff Method and Modifications 6.16 The Bookmark Method 6.17 Summary and Conclusions Key Terms and Definitions 7. Reliability 7.1 Introduction 7.2 Conceptual Overview 7.3 The True Score Model 7.4 Probability Theory, True Score Model, and Random Variables 7.5 Properties and Assumptions of the True Score Model 7.6 True Score Equivalence, Essential True Score Equivalence, and Congeneric Tests 7.7 Relationship between Observed and True Scores 7.8 The Reliability Index and Its Relationship to the Reliability Coefficient 7.9 Summarizing the Ways to Conceptualize Reliability 7.10 Reliability of a Composite 7.11 Coefficient of Reliability: Methods of Estimation Based on Two Occasions 7.12 Methods Based on a Single Testing Occasion 7.13 Estimating Coefficient Alpha: Computer Programs and Example Data 7.14 Reliability of Composite Scores Based on Coefficient Alpha 7.15 Reliability Estimation Using the Analysis of Variance Method 7.16 Reliability of Difference Scores 7.17 Application of the Reliability of Difference Scores 7.18 Errors of Measurement and Confidence Intervals 7.19 Standard Error of Measurement 7.20 Standard Error of Prediction 7.21 Summarizing and Reporting Reliability Information 7.22 Summary and Conclusions Key Terms and Definitions 8. Generalizability Theory 8.1 Introduction 8.2 Purpose of Generalizability Theory 8.3 Facets of Measurement and Universe Scores 8.4 How Generalizability Theory Extends Classical Test Theory 8.5 Generalizability Theory and Analysis of Variance 8.6 General Steps in Conducting a Generalizability Theory Analysis 8.7 Statistical Model for Generalizability Theory 8.8 Design 1: Single-Facet Person by Item Analysis 8.9 Proportion of Variance for the p x i Design 8.10 Generalizability Coefficient and CTT Reliability 8.11 Design 2: Single-Facet Crossed Design with Multiple Raters 8.12 Design 3: Single-Facet Design with the Same Raters on Multiple Occasions 8.13 Design 4: Single-Facet Nested Design with Multiple Raters 8.14 Design 5: Single-Facet Design Multiple Raters Rating on Two Occasions 8.15 Standard Errors of Measurement: Designs 1–5 8.16 Two-Facet Designs 8.17 Summary and Conclusions Key Terms and Definitions 9. Factor Analysis 9.1 Introduction 9.2 Brief History 9.3 Applied Example with GfGc Data 9.4 Estimating Factors and Factor Loadings 9.5 Factor Rotation 9.6 Correlated Factors and Simple Structure 9.7 The Factor Analysis Model, Communality, and Uniqueness 9.8 Components, Eigenvalues, and Eigenvectors 9.9 Distinction between Principal Components Analysis and Factor Analysis 9.10 Confirmatory Factor Analysis 9.11 Confirmatory Factor Analysis and Structural Equation Modeling 9.12 Conducting Factor Analysis: Common Errors to Avoid 9.13 Summary and Conclusions Key Terms and Definitions 10. Item Response Theory 10.1 Introduction 10.2 How IRT Differs from CTT 10.3 Introduction to IRT 10.4 Strong True Sco

Read more less

Book SynopsisGrounded in more than 20 years of research, this valid, reliable, easy-to-administer instrument is widely used by mental health, educational, and medical practitioners in screening, diagnosis, and treatment evaluation. Parent questionnaires on home behaviors (English and Spanish) and teacher questionnaires on classroom behaviors are keyed to DSM-5 diagnostic criteria for attention-deficit/hyperactivity disorder (ADHD). Each scale takes just 5 minutes to complete and comes in both a child (5-10) and adolescent (11-17) version, with developmentally appropriate symptom descriptions. Complete instructions are provided for scoring and interpretation, including separate scoring profiles for symptoms and impairments in boys and girls.New to This Edition: *Updated for DSM-5. *Separate adolescent versions of both home and school rating scales. *Includes functional impairment items linked to each symptom dimension (inattention symptoms and hyperactive-impulsiTrade Review"I have been eagerly awaiting the revision of this well-known rating scale for screening and diagnosing ADHD in youth! Not only is the scale quick and easy to administer and score, but its brevity and thoroughness make it an exceptional tool for assessing ADHD and measuring treatment effects. Unlike the majority of other instruments to assess ADHD, it contains current DSM terminology, and has both child and adolescent versions of the parent and teacher ratings. Another important update in this version is its inclusion of items to rate the severity of functional impairments in both inattention and/or hyperactive-impulsive symptoms."--Julie Schweitzer, PhD, Director, ADHD Program, MIND Institute, University of California, Davis "The ADHD Rating Scale–5 continues the excellence of its predecessor while incorporating improvements consistent with emerging research and diagnostic changes. The assessment of impairment and the inclusion of an adolescent version with developmentally appropriate item wording are wonderful additions. Clinical management of ADHD demands strong assessment tools, and the ADHD Rating Scale–5 meets this need. It is a clear choice for screening, assessing, and monitoring treatment outcome among children and adolescents with ADHD in clinic or school settings."--Charlotte Johnston, PhD, Professor and Director of Clinical Training, Department of Psychology, University of British Columbia, Vancouver, Canada "The release of the ADHD Rating Scale–5 is cause for celebration. Like prior versions, which are widely used in clinical and research settings, the updated scale is psychometrically sound and is based on extensive reliability and validity data. Adhering to DSM-5, the authors have improved the assessment of ADHD-associated impairments, and have also added important material on adolescent assessment. The chapter on interpretation and use provides an unusually clear and cogent discussion of how the scale should be used for diagnosis and screening. This is a trustworthy guide for clinicians and researchers and is also a useful tool for training graduate students, interns, and residents."--Stephen V. Faraone, PhD, Distinguished Professor and Vice Chair for Research, Department of Psychiatry, State University of New York Upstate Medical University "DuPaul and colleagues have created another excellent, psychometrically sound parent and teacher rating scale to assist in the screening and diagnosis of ADHD. Using DSM-5 criteria, the authors have improved this version of the scale by adding developmentally appropriate wording for adolescents as well as ratings of impairment. Like the previous version, this scale will soon become the standard in the field."--Steven W. Evans, PhD, Professor of Psychology and Co-Director, Center for Intervention Research in Schools, Ohio University -A rating scale that is easy to use and score and that provides useful, DSM-5 specific information about ADHD symptoms in children and adolescents. It has demonstrated utility in both clinical and school settings. The test authors have provided strong support for the psychometric properties of the instrument, which are discussed in the user-friendly test manual. The opportunity for ratings from both parents and teachers and for both children and adolescents is a strength of the measure.--Buros Center for Testing: The Twenty-First Mental Measurements Yearbook, 05/01/2019ƒƒIf you are looking for an easy to use assessment that is a reliable and valid measure of ADHD, this is a manual to add to your bookshelf. The entire form takes only a few minutes to score, and it elicits more objective data for evaluating your students.--School Social Work Journal, 10/02/2017Table of Contents1. Introduction to the ADHD Rating Scales 2. Factor Analysis 3. Standardization and Normative Data 4. Reliability and Validity 5. Interpretation and Use of the Scales for Diagnostic and Screening Purposes 6. Interpretation and Use of the Scales for Evaluating Treatment Outcome Appendix. Rating Scales and Scoring Sheets Attention and Behavior Rating Form, Home Version: Child (English) Attention and Behavior Rating Form, Home Version: Adolescent (English) Attention and Behavior Rating Form, Home Version: Child (Spanish) Attention and Behavior Rating Form, Home Version: Adolescent (Spanish) ADHD Rating Scale–5, Home Version: Symptom Scoring Sheet for Boys ADHD Rating Scale–5, Home Version: Symptom Scoring Sheet for Girls ADHD Rating Scale–5, Home Version: Impairment Scoring Sheet for Boys ADHD Rating Scale–5, Home Version: Impairment Scoring Sheet for Girls Attention and Behavior Rating Form, School Version: Child Attention and Behavior Rating Form, School Version: Adolescent ADHD Rating Scale–5, School Version: Symptom Scoring Sheet for Boys ADHD Rating Scale–5, School Version: Symptom Scoring Sheet for Girls ADHD Rating Scale–5, School Version: Impairment Scoring Sheet for Boys ADHD Rating Scale–5, School Version: Impairment Scoring Sheet for Girls

Read more less

Book SynopsisOffering pragmatic guidance for planning and conducting a meta-analytic review, this book is written in an engaging, nontechnical style that makes it ideal for graduate course use or self-study. The author shows how to identify questions that can be answered using meta-analysis, retrieve both published and unpublished studies, create a coding manual, use traditional and unique effect size indices, and write a meta-analytic review. An ongoing example illustrates meta-analytic techniques. In addition to the fundamentals, the book discusses more advanced topics, such as artifact correction, random- and mixed-effects models, structural equation representations, and multivariate procedures. User-friendly features include annotated equations; discussions of alternative approaches; and Practical Matters sections that give advice on topics not often discussed in other books, such as linking meta-analytic results with theory and the utility of meta-analysis software programs.Trade ReviewCard is to be applauded for his thorough discussion of both the fundamentals and recent advances in meta-analysis, and for his use of such friendly, toned-down language. For instance, the graphical presentation of simulation results in order to explain the threat/impact of publication bias will really help readers understand the concept. I really like the author’s discussions of practical matters, which may stimulate readers to investigate new approaches and practices. I will recommend this book to my colleagues in psychology and education who are interested in learning meta-analysis.--Soyeon Ahn, PhD, Research, Measurement, and Evaluation Program, University of MiamiThis book teaches individuals how to do a meta-analysis from start to finish. Readers learn how to search the literature, code studies, statistically combine study results, and write up the results. Card covers topics not included in most textbooks, such as how to retrieve unpublished studies, the creation of a coding manual, effect sizes from multiple regression analysis, publication bias, and multivariate procedures in meta-analysis. I like the 'Practical Matters' sections in the chapters. This is an excellent textbook for a course on meta-analysis, and an excellent manual for anyone wanting to conduct a meta-analysis.--Brad J. Bushman, PhD, Institute for Social Research, University of MichiganThe book is well organized and walks the reader through the concepts in an accessible, logical manner. The definitions and explanations are clear and easy to follow, and the consistent use of examples throughout the chapters is very helpful. The author does a nice job of presenting key considerations, alternative approaches, and the strengths and shortcomings of each option. The reading level and writing style are appropriate for graduate student readers.--Jody A. Worley, PhD, Department of Human Relations, University of Oklahoma-Tulsa- Card's book is written in a nontechnical style that would work well in a graduate course, or it could be used by someone who is just learning meta-analysis. Card takes the reader through the multiple steps in creating a meta-analytic study, such as retrieving studies, creating a coding manual, and using effect size indices, as well as how to write a meta-analytic review paper. His book is peppered with examples of the technique, which makes the topic more accessible and easier to understand. He also provides advice on the utility of meta-analysis software, such as how it can be used and whether it is needed. This book is written like a good recipe that the reader can follow from beginning to end to produce a meta-analytic study ready to submit for publication....Describes how to do meta-analysis without bogging down the reader with equations. Card offers simple explanations of what to do in meta-analysis and provides enough background so that the reader can understand the rationale behind procedures and why the procedures need to be completed. --PsycCRITIQUES, 7/27/2012Table of ContentsI. The Blueprint: Planning and Preparing a Meta-Analytic Review 1. An Introduction to Meta-Analysis 1.1 The Need for Research Synthesis in the Social Sciences 1.2 Basic Terminology 1.3 A Brief History of Meta-Analysis 1.4 The Scientific Process of Research Synthesis 1.5 An Overview of the Book 1.6 Practical Matters: A Note on Software and Information Management 1.7 Summary 1.8 Recommended Readings 2. Questions That Can and Questions That Cannot Be Answered through Meta-Analysis 2.1 Identifying Goals and Research Questions for Meta-Analysis 2.2 The Limits of Primary Research and the Limits of Meta-Analytic Synthesis 2.3 Critiques of Meta-Analysis: When Are They Valid and When Are They Not? 2.4 Practical Matters: The Reciprocal Relation between Planning and Conducting a Meta-Analysis 2.5 Summary 2.6 Recommended Readings 3. Searching the Literature 3.1 Developing and Articulating a Sampling Frame 3.2 Inclusion and Exclusion Criteria 3.3 Finding Relevant Literature 3.4 Reality Checking: Is My Search Adequate? 3.5 Practical Matters: Beginning a Meta-Analytic Database 3.6 Summary 3.7 Recommended Readings II. The Building Blocks: Coding Individual Studies 4. Coding Study Characteristics 4.1 Identifying Interesting Moderators 4.2 Coding Study “Quality” 4.3 Evaluating Coding Decisions 4.4 Practical Matters: Creating an Organized Protocol for Coding 4.5 Summary 4.6 Recommended Readings 5. Basic Effect Size Computation 5.1 The Common Metrics: Correlation, Standardized Mean Difference, and Odds Ratio 5.2 Computing r from Commonly Reported Results 5.3 Computing g from Commonly Reported Results 5.4 Computing o from Commonly Reported Results 5.5 Comparisons among r, g, and o 5.6 Practical Matters: Using Effect Size Calculators and Meta-Analysis Programs 5.7 Summary 5.8 Recommended Readings 6. Corrections to Effect Sizes 6.1 The Controversy of Correction 6.2 Artifact Corrections to Consider 6.3 Practical Matters: When (and How) to Correct: Conceptual, Methodological, and Disciplinary Considerations 6.4 Summary 6.5 Recommended Readings 7. Advanced and Unique Effect Size Computation 7.1 Describing Single Variables 7.2 When the Metric Is Meaningful: Raw Difference Scores 7.3 Regression Coefficients and Similar Multivariate Effect Sizes 7.4 Miscellaneous Effect Sizes 7.5 Practical Matters: The Opportunities and Challenges of Meta-Analyzing Unique Effect Sizes 7.6 Summary 7.7 Recommended Readings III. Putting the Pieces Together: Combining and Comparing Effect Sizes 8. Basic Computations: Computing Mean Effect Size and Heterogeneity around This Mean 8.1 The Logic of Weighting 8.2 Measures of Central Tendency in Effect Sizes 8.3 Inferential Testing and Confidence Intervals of Average Effect Sizes 8.4 Evaluating Heterogeneity among Effect Sizes 8.5 Practical Matters: Nonindependence among Effect Sizes 8.6 Summary 8.7 Recommended Readings 9. Explaining Heterogeneity among Effect Sizes: Moderator Analyses 9.1 Categorical Moderators 9.2 Continuous Moderators 9.3 A General Multiple Regression Framework for Moderation 9.4 An Alternative SEM Approach 9.5 Practical Matters: The Limits of Interpreting Moderators in Meta-Analysis 9.6 Summary 9.7 Recommended Readings 10. Fixed-, Random-, and Mixed-Effects Models 10.1 Differences among Models 10.2 Analyses of Random-Effects Models 10.3 Mixed-Effects Models 10.4 A Structural Equation Modeling Approach to Random- and Mixed-Effects Models 10.5 Practical Matters: Which Model Should I Use? 10.6 Summary 10.7 Recommended Readings 11. Publication Bias 11.1 The Problem of Publication Bias 11.2 Managing Publication Bias 11.3 Practical Matters: What Impact Do Sampling Biases Have on Meta-Analytic Conclusions? 11.4 Summary 11.5 Recommended Readings 12. Multivariate Meta-Analytic Models 12.1 Meta-Analysis to Obtain Sufficient Statistics 12.2 Two Approaches to Multivariate Meta-Analysis 12.3 Practical Matters: The Interplay between Meta-Analytic Models and Theory 12.4 Summary 12.5 Recommended Readings IV. The Final Product: Reporting Meta-Analytic Results 13. Writing Meta-Analytic Results 13.1 Dimensions of Literature Reviews, Revisited 13.2 What to Report and Where to Report It 13.3 Using Figures and Tables in Reporting Meta-Analyses 13.4 Practical Matters: Avoiding Common Problems in Reporting Results of Meta-Analyses 13.5 Summary 13.6 Recommended Readings References Author Index Subject Index About the Author

Read more less

Book SynopsisThe definitive handbook on peer relations has now been significantly revised with 55% new material. Bringing together leading authorities, this volume presents cutting-edge research on the dynamics of peer interactions, their impact on multiple aspects of social development, and the causes and consequences of peer difficulties. From friendships and romance to social withdrawal, aggression, and victimization, all aspects of children's and adolescents' relationships are explored. The book examines how individual characteristics interact with family, group, and contextual factors across development to shape social behavior. The importance of peer relationships to emotional competence, psychological well-being, and achievement is analyzed, and peer-based interventions for those who are struggling are reviewed. Each chapter includes an introductory overview and addresses theoretical considerations, measures and methods, research findings and their implications, and future directions.Trade Review"The second edition of this handbook provides the definitive summary of research on children’s peer relations. Even for the seasoned veteran, there is much to learn here. Findings from individual differences research synergize with developmental findings in novel ways. For example, we learn from Hay, Caplan, and Nash that species-wide development in social cognition presages species-wide growth in play, and from McDonald and Asher that individual differences in social cognition predict individual differences in peer acceptance. The field has matured to the point where Lansford’s capstone chapter on public policy now has the authority of strong empirical science."--Kenneth A. Dodge, PhD, Pritzker Professor of Public Policy and Professor of Psychology and Neuroscience, Duke University "The contributors to this second edition are a 'who's who' of researchers in peer relationships. The breadth of topics is equally impressive, covering everything from effects of genes, popularity, and income to the evolutionary bases of peer relations and their links to mental health. The book embodies an impressive range of disciplinary perspectives. Perhaps most important, the individual chapters are interesting and provocative--they not only thoroughly review the literature, but also take a stance and make new points that should help advance the field. The editors and contributors are to be commended for an outstanding work!"--Joseph P. Allen, PhD, Hugh P. Kelly Professor of Psychology, University of Virginia "The second edition of this handbook reviews recent advances in the field and presents a complete picture of relevant theories and research methods. The volume offers a multidisciplinary perspective on peer relations in both typical and atypical development. Peer relations are explored in all of their dimensions, from the influences of individual differences and cultural contexts to the dynamics of dyads, groups, friendships, and romantic relationships. Among the book's numerous strengths are discussions of intervention and policy issues, as well as new content on neuroscience."--Simona C. S. Caravita, PhD, Department of Psychology, Catholic University of the Sacred Heart, Milan, Italy "Impressive in its scope and coverage of the literature on children’s peer relations. The second edition includes comprehensive, current updates on such topics as the relation between peer acceptance or rejection and children's later adjustment. There are new chapters on intriguing, scientifically important topics, including how children function within networks and groups. Valuable reading."--John E. Lochman, PhD, ABPP, Professor and Doddridge Saxon Chairholder in Clinical Psychology, University of Alabama -In the second edition of this handbook, editors Bukowski, Laursen, and Rubin have assembled an impressive team of leading scholars, delivering revised and new topics on peer interactions, relationships, and groups. Half the content of the book is new to the second edition….The handbook is a must read for academics with interest in peer interactions and relationships. Highly recommended. Upper-division undergraduates and above.--Choice Reviews, 12/4/2018ƒƒMeets or exceeds the criteria that we may expect for a 'true' developmental handbook....The scope of the volume is also impressive and the structure is logical and well organized....The editors and authors of this volume represent the 'A-list' of researchers and theorists working in this area and there is no comparable resource available....Researchers and instructors will find this collection useful for refining and expanding their own work and for introducing colleagues and students to the state of the art in peer relations research. The work presented here and the overview that these experts provide gives one an excellent sense of how the field has grown and expanded, where the active lines of research currently lie, and where they might be headed....This handbook [is] a solid investment for anyone who needs to access the state of the art or wishes to see where it might be headed. (on the first edition)--Journal of Applied Developmental Psychology, 1/1/2011ƒƒCertainly the definitive volume on the social development of children from infancy to adolescence....An indisputable resource for anyone interested in socio-emotional development. Essential. Upper-division undergraduates through faculty and professionals. (on the first edition)--Choice Reviews, 7/1/2009Table of ContentsI. Introduction 1. Peer Relations: Past, Present, and Promise, William M. Bukowski, Brett Laursen, & Kenneth H. Rubin II. Conceptual Origins of Peer Research 2. Socioethological/Developmental Principles and Perspectives on Peer Interactions, Relationships, and Groups from Early Childhood through Adolescence, António J. Santos & Brian E. Vaughn 3. Pathways, Networks, and Norms. A Sociological Perspective on Peer Research, René Veenstra, Jan KornelisDijkstra, & Derek A. Kreager 4. Sociometric Perspectives, Antonius H. N. Cillessen & William M. Bukowski 5. The Peer Group: Linking Conceptualizations, Theories, and Methods, Thomas A. Kindermann & Scott D. Gest 6. Evolution and Peer Relations: Considering the Functional Roles of Aggression and Prosociality, Patricia H. Hawley & Andrew R. Bower 7. Peer Relations and Psychosocial Development: Perspectives from Genetic Approaches, Mara Brendgen, Isabelle Ouellet-Morin, & Michel Boivin 8. Peers and the Self, William M. Bukowski & Diana Raufelder III. Individual Characteristics and Peer Interactions 9. Personality and Peer Relationships, Marcel A. G. van Aken & Jens B. Asendorpf 10. Neuroscience and Peer Relations, Amanda E. Guyer & Johanna M. Jarcho 11. The Beginnings of Peer Relations, Dale F. Hay, Marlene Caplan, & Alison Nash 12. Children’s Play and Peer Relations, Nina Howe & Jamie Leach 13. Prosocial Behavior with Peers: Intentions, Outcomes, and Interpersonal Adjustment, Melanie A. Dirks, Kristen A. Dunfield, & Holly E. Recchia 14. Conflict between Peers, Brett Laursen & Ryan Adams 15. The Interface of Aggression and Peer Relations in Childhood and Adolescence, Frank Vitaro, Michel Boivin, & François Poulin 16. Bullying and Victimization, Christina Salmivalli & Kätlin Peets 17. Avoiding and Withdrawing from the Peer Group, Kenneth H. Rubin, Julie C. Bowker, Matthew G. Barstead, & Robert J. Coplan IV. Dyads and Groups 18. Parent–Child Attachment and Peer Relations, Cathyrn Booth-LaForce, & Ashley M. Groh 19. Friendship in Childhood and Adolescence: Features, Effects, and Processes, Catherine L. Bagwell & William M. Bukowski 20. Differences and Similarities: The Dynamics of Same- and Other-Sex Peer Relationships, Carol Lynn Martin, Richard A. Fabes, & Laura D. Hanish 21. The Romantic Relationships of Youth, Wyndol Furman 22. Peer Acceptance, Peer Rejection, and Popularity: Social Cognitive and Behavioral Perspectives, Kristina L. McDonald & Steven R. Asher 23. Peer Influence, Brett Laursen 24. Intergroup Exclusion, Moral Judgments, and Social Cognition, Melanie Killen, Adam Rutland, Michael T. Rizzo, & Luke McGuire V. Diversity in Peer Experience 25. The Potential of Schools to Facilitate and Constrain Peer Relationships, Jaana Juvonen 26. Inequality and Neighborhood Effects on Peer Relations, Adrienne Nishina & Amy Bellmore 27. Social Media and Peer Relationships, Marion K. Underwood, B. Bradford Brown, & Samuel E. Ehrenreich 28. Culture and Peer Relationships, Xinyin Chen, Jinsol Lee, & Lingjun Chen 29. Gender and Peer Relationships, Amanda J. Rose & Rhiannon L. Smith 30. Race and Ethnicity in Peer Relations Research, Sandra Graham & Leslie Echols VI. Outcomes, Intervention, and Policy 31. Peer Status and Psychopathology, Mitchell J. Prinstein, Diana Rancourt, Caroline B. Adelman, Erica Ahlich, Jennifer Smith, & John D. Guerry 32. Peers, Academics and Teachers, Allison M. Ryan & Huiyoung Shin 33. Peer-Based Interventions for Behaviorally Inhibited, Socially Withdrawn, and Socially Anxious Children, Robert J. Coplan, Barry H. Schneider, Laura L. Ooi, & William E. Hipson 34. Youth Activity Participation: An Ecological Peer-Based Approach for Positive Youth Development, Linda Rose-Krasnor & Heather Ramey 35. Public Policy and Peer Relationships, Jennifer E. Lansford

Read more less