APA Handbook of Research Methods in Psychology 2/e


Volume 1: Foundations, Planning, Measures, and Psychometrics Volume 2: Research Designs: Quantitative, Qualitative,

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AMERICAN PSYCHOLOGICAL ASSOCIATION
By: Edited by Harris Cooper, Marc N. Coutanche, Linda M. McMullen, Abigail T. Panter, David Rindskopf, Kenneth J. Sher
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MIXED MEDIA PRODUCT
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Description

Harris Cooper, PhD, is the Hugo L. Blomquist Professor, Emeritus, in the department of psychology and neuroscience at Duke University. His research interests concern research synthesis and research methodology, and he also studies the application of social and developmental psychology to education policy. His book Research Synthesis and Meta-Analysis: A Step-by-Step Approach (2017) is in its fifth edition. He is the coeditor of the Handbook of Research Synthesis and Meta-Analysis (3rd ed. 2019). In 2007, Dr. Cooper was the recipient of the Frederick Mosteller Award for Contributions to Research Synthesis Methodology, and in 2008 he received the Ingram Olkin Award for Distinguished Lifetime Contribution to Research Synthesis from the Society for Research Synthesis Methodology. He served as the chair of the Department of Psychology and Neuroscience at Duke University from 2009 to 2014, and from 2017 to 2018 he served as the dean of social science at Duke. Dr. Cooperchaired the first APA committee that developed guidelines for information about research that should be included in manuscripts submitted to APA journals. He currently serves as the editor of American Psychologist, the flagship journal of the American Psychological Association.



Marc N. Coutanche, PhD, is an associate professor of psychology and research scientist in the Learning Research and Development Center at the University of Pittsburgh. Dr. Coutanche directs a program of cognitive neuroscience research and develops and tests new computational techniques to identify and understand the neural information present within neuroimaging data. His work has been funded by the National Institutes of Health, National Science Foundation, American Psychological Foundation, and other organizations, and he has published in a variety of journals. Dr. Coutanche received his PhD from the University of Pennsylvania, and conducted postdoctoral training at Yale University. He received a Howard Hughes Medical Institute International Student Research Fellowship and Ruth L. Kirschstein Postdoctoral National Research Service Award, and was named a 2019 Rising Star by the Association for Psychological Science.



Linda M. McMullen, PhD, is professor emerita of psychology at the University of Saskatchewan, Canada. Over her career, she has contributed to the development of qualitative inquiry in psychology through teaching, curriculum development, and pedagogical scholarship; original research; and service to the qualitative research community. Dr. McMullen introduced qualitative inquiry into both the graduate and undergraduate curriculum in her home department, taught courses at both levels for many years, and has published articles, coedited special issues, and written a book (Essentials of Discursive Psychology) that is part of the American Psychological Associations series on qualitative methodologies, among other works. She has been engaged with building the Society for Qualitative Inquiry in Psychology (SQIP; a section of Division 5 of the APA) into a vibrant scholarly society since its earliest days, and took on many leadership roles while working as a university professor. Dr. McMullens contributions have been recognized by Division 5 of the APA, the Canadian Psychological Association, and the Saskatchewan Psychological Association.



Abigail Panter, PhD, is the senior associate dean for undergraduate education and a professor of psychology in the L. L. Thurstone Psychometric Laboratory at University of North Carolina at Chapel Hill. She is past president of the American Psychological Associations Division 5, Quantitative and Qualitative Methods. As a quantitative psychologist, she develops instruments, research designs and data-analytic strategies for applied research questions in higher education, personality, and health. She serves as a program evaluator for UNCs Chancellors Science Scholars Program, and was also principal investigator for The Finish Line Project, a $3 million grant from the U.S. Department of Education that systematically investigated new supports and academic initiatives, especially for first-generation college students. Her books include the APA Dictionary of Statistics and Research Methods (2014), the APA Handbook of Research Methods in Psychology (first edition; 2012), the Handbook of Ethics in Quantitative Methodology (2011), and the SAGE Handbook of Methods in Social Psychology (2004), among others.



David Rindskopf, PhD, is distinguished professor at the City University of New York Graduate Center, specializing in research methodology and statistics. His main interests are in Bayesian statistics, causal inference, categorical data analysis, meta-analysis, and latent variable models. He is a fellow of the American Statistical Association and the American Educational Research Association, and is past president of the Society of Multivariate Experimental Psychology and the New York Chapter of the American Statistical Association.



Kenneth J. Sher, PhD, is Chancellors Professor and Curators Distinguished Professor of Psychological Sciences, Emeritus, at the University of Missouri. He received his PhD in clinical psychology from Indiana University (1980) and his clinical internship training at Brown University (1981). His primary areas of research focus on etiological processes in the development of alcohol dependence, factors that affect the course of drinking and alcohol use disorders throughout adulthood, longitudinal research methodology, psychiatric comorbidity, and nosology. At the University of Missouri he directed the predoctoral and postdoctoral training program in alcohol studies, and his research has been continually funded by the National Institute on Alcohol Abuse and Alcoholism for more than 35 years. Dr. Shers research contributions have been recognized by professional societies including the Research Society on Alcoholism and the American Psychological Association, and throughout his career he has been heavily involved in service to professional societies and scholarly publications.



 



 



 



  • Volume 1. Foundations, Planning, Measures, and Psychometrics

  • Contents

  • Editorial Board

  • About the Editors

  • Contributors

  • A Note from the Publisher

  • Introduction: Objectives of Psychological Research and Their Relations to Research Methods

    Part I. Philosophical, Ethical, and Societal Underpinnings of Psychological Research

  • Section 1. Philosophical Issues for Research in Psychology

  • Chapter 1. Perspectives on the Epistemological Bases for Qualitative Research

    Carla Willig

  • Chapter 2. Frameworks for Causal Inference in Psychological Science

    Peter M. Steiner, William R. Shadish, and Kristynn J. Sullivan

    Section 2. Ethical and Professional Considerations in Conducting Psychological Research

  • Chapter 3. Ethics in Psychological Research: Guidelines and Regulations

    Adam L. Fried and Kate L. Jansen

  • Chapter 4. Ethics and Regulation of Research With Nonhuman Animals

    Sangeeta Panicker, Chana K. Akins, and Beth Ann Rice

    Section 3. Cultural and Societal Issues in Conducting Psychological Research

  • Chapter 5. Cross-Cultural Research Methods

    David Masumoto and Fons J. R. van de Vijver

  • Chapter 6.Research With Populations that Experience Marginalization

    George P. Knight, Rebecca M. B. White, Stefanie Martinez-Fuentes, Mark W. Roosa, and Adriana J. UmaNa-Taylor

    Part II. Planning Research

  • Chapter 7. Developing Testable and Important Research Questions

    Frederick T. L. Leong, Neal Schmitt, and Brent J. Lyons

  • Chapter 8. Searching With a Purpose: How to Use Literature Searching to Support Your Research

    Diana Ramirez and Margaret J. Foster

  • Chapter 9. Psychological Measurement: Scaling and Analysis

    Heather Hayes and Susan E. Embretson

  • Chapter 10. Sample Size Planning

    Ken Kelley, Samantha F. Anderson, and Scott E. Maxwell

  • Chapter 11. Workflow and Reproducibility

    Oliver Kirchkamp

  • Chapter 12. Obtaining and Evaluating Research Funding

    Jonathan S. Comer and Amanda L. Sanchez

    Part III. Measurement Methods

  • Section 1. Behavior Observation

  • Chapter 13. Behavioral Observation

    Roger Bakeman and VicenC Quera

    Section 2. Self-Report

  • Chapter 14. Question Order Effects

    Lisa Lee, Parvati Krishnamurty, and Struther Van Horn

  • Chapter 15. Interviews and Interviewing Techniques

    Anna Madill

  • Chapter 16. Using Intensive Longitudinal Methods in Psychological Research

    Masumi Iida, Patrick E. Shrout, Jean-Philippe Laurenceau, and Niall Bolger

  • Chapter 17. Automated Analyses of Natural Language in Psychological Research

    Laura K. Allen, Arthur C. Graesser, and Danielle S. McNamara

    Section 3. Psychological Tests

  • Chapter 18. Objective Tests as Instruments of Psychological Theory and Research

    David Watson

  • Chapter 19. Norm- and Criterion-Referenced Testing

    Kurt F. Geisinger

  • Chapter 20. The Current Status of "Projective" "Tests"

    Robert E. McGrath, Alec Twibell, and Elizabeth J. Carroll

  • Chapter 21. Brief Instruments and Short Forms

    Emily A. Atkinson, Carolyn M. Pearson Carter, Jessica L. Combs Rohr, and Gregory T. Smith

    Section 4. Chronometric and Psychophysical Measures

  • Chapter 22. Eye Movements, Pupillometry, and Cognitive Processes

    Simon P. Liversedge, Sara V. Milledge, and Hazel I. Blythe

  • Chapter 23. Response Times

    Roger Ratcliff

  • Chapter 24. Psychophysics: Concepts, Methods, and Frontiers

    Allie C. Hexley, Takuma Morimoto, and Manuel Spitschan

    Section 5. Measures in Psychophysiology

  • Chapter 25. The Perimetric Physiological Measurement of Psychological Constructs

    Louis G. Tassinary, Ursula Hess, Luis M. Carcoba, and Joseph M. Orr

  • Chapter 26. Salivary Hormone Assays

    Linda Becker, Nicholas Rohleder, and Oliver C. Schultheiss

    Section 6. Measures in Neuroscience

  • Chapter 27. Electro- and Magnetoencephalographic Methods in Psychology

    Eddie Harmon-Jones, David M. Amodio, Philip A. Gable, and Suzanne Dikker

  • Chapter 28. Event-Related Potentials

    Steven J. Luck

  • Chapter 29. Functional Neuroimaging

    Megan T. deBettencourt, Wilma A. Bainbridge, Monica D. Rosenberg

  • Chapter 30. Noninvasive Stimulation of the Cerebral Cortex

    Dennis J. L. G. Schutter

  • Chapter 31. Combined Neuroimaging Methods

    Marius Moisa and Christian C. Ruff

  • Chapter 32. Neuroimaging Analysis Methods

    Yanyu Xiong and Sharlene D. Newman

    Part IV. Psychometrics

  • Chapter 33. Reliability

    Sean P. Lane, Elizabeth N. Aslinger, and Patrick E. Shrout

  • Chapter 34. Generalizability Theory

    Xiaohong Gao and Deborah J. Harris

  • Chapter 35. Construct Validity

    Kevin J. Grimm and Keith F. Widaman

  • Chapter 36. Item-Level Factor

    Nisha C. Gottfredson, Brian D. Stucky, and A. T. Panter

  • Chapter 37. Item Response Theory

    Steven P. Reise and Tyler M. Moore

  • Chapter 38. Measuring Test Performance With Signal Detection Theory Techniques

    Teresa A. Treat and Richard J. Viken



    Volume 2. Research Designs: Quantitative, Qualitative, Neuropsychological, and Biological

  • Contents

  • Editorial Board

  • Contributors

    Part I. Qualitative Research Methods

  • Section 1. Overview of Qualitative Methods

  • Chapter 1. Developments in Qualitative Inquiry

    Sarah Riley and Andrea LaMarre

  • Chapter 2. Metasynthesis of Qualitative Research

    Sally Thorne

    Section 2. Thematic Approaches

  • Chapter 3. Grounded Theory and Psychological Research

    Robert Thornberg, Elaine Keane, and Malgorzata WOjcik

  • Chapter 4. Thematic Analysis

    Virginia Braun and Victoria Clarke

  • Chapter 5. Phenomenological Methodology, Methods, and Procedures for Research in Psychology

    Frederick J. Wertz

    Section 3. Narrative and Language-Based Approaches

  • Chapter 6. Narrative Analysis

    Javier Monforte and Brett Smith

  • Chapter 7. Ethnomethodology and Conversation Analysis

    Paul ten Have

  • Chapter 8. Discourse Analysis and Discursive Psychology

    Chris McVittie and Andy McKinlay

    Section 4. Multilayered Approaches

  • Chapter 9. Ethnography in Psychological Research

    Elizabeth Fein and Jonathan Yahalom

  • Chapter 10. Visual Research in Psychology

    Paula Reavey, Jon Prosser, and Steven D. Brown

  • Chapter 11. Researching the Temporal

    Karen Henwood and Fiona Shirani

    Part II. Working Across Epistemologies, Methodologies, and Methods

  • Chapter 12. Mixed Methods Research in Psychology

    Timothy C. Guetterman and Analay Perez

  • Chapter 13. The "Cases Within Trials" (CWT) Method: An Example of a Mixed-Methods Research Design

    Daniel B. Fishman

  • Chapter 14. Researching With American Indian and Alaska Native Communities: Pursuing Partnerships for Psychological Inquiry in Service to Indigenous Futurity

    Joseph P. Gone

  • Chapter 15. Participatory Action Research as Movement Toward Radical Relationality, Epistemic Justice, and Transformative Intervention: A Multivocal Reflection

    Urmitapa Dutta, Jesica Siham FernAndez, Anne Galletta, and Regina Day Langhout

    Part III. Sampling Across People and Time

  • Chapter 16. Introduction to Survey Sampling

    Roger Tourangeau and Ting Yan

  • Chapter 17. Epidemiology

    Rumi Kato Price and Heidi H. Tastet

  • Chapter 18. Collecting Longitudinal Data: Present Issues and Future Challenges

    Simran K. Johal, Rohit Batra, and Emilio Ferrer

  • Chapter 19. Using the Internet to Collect Data

    Ulf-Dietrich Reips

    Part IV. Building and Testing Models

  • Chapter 20. Statistical Mediation Analysis

    David P. MacKinnon, Jeewon Cheong, Angela G. Pirlott, and Heather L. Smyth

  • Chapter 21. Structural Equation Modeling with Latent Variables

    Rick H. Hoyle and Nisha C. Gottfredson

  • Chapter 22. Mathematical Psychology

    Parker Smith, Yanjun Liu, James T. Townsend, and Trisha Van Zandt

  • Chapter 23. Computational Modeling

    Adele Diederich

  • Chapter 24. Fundamentals of Bootstrapping and Monte Carlo Methods

    William Howard Beasley, Patrick OKeefe, and Joseph Lee Rodgers

  • Chapter 25. Designing Simulation Studies

    Xitao Fan

  • Chapter 26. Bayesian Modeling for Psychologists: An Applied Approach

    Fred M. Feinberg and Richard Gonzalez

    Part V. Designs Involving Experimental Manipulations

    Section 1. Designs With Different Participant Assignment Mechanisms

  • Chapter 27. Randomized Designs in Psychological Research

    Larry Christensen, Lisa A. Turner, and R. Burke Johnson

  • Chapter 28. Nonequivalent Comparison Group Designs

    Henry May and Zachary K. Collier

  • Chapter 29. Regression Discontinuity Designs

    Charles S. Reichardt and Gary T. Henry

    Section 2. Experimental Manipulations in Applied Settings

  • Chapter 30. Treatment Validity for Intervention Studies

    Dianne L. Chambless and Steven D. Hollon

  • Chapter 31. Translational Research

    Michael T. Bardo, Christopher Cappelli, and Mary Ann Pentz

  • Chapter 32. Program Evaluation: Outcomes and Costs of Putting Psychology to Work

    Brian T. Yates

    Part VI. Quantitative Research Designs Involving Single Participants or Units

  • Chapter 33. Single-Case Experimental Design

    John M. Ferron, Megan Kirby, and Lodi Lipien

  • Chapter 34. Time Series Designs

    Bradley J. Bartos, Richard McCleary, and David McDowall

    Part VII. Designs in Neuropsychology and Biological Psychology

  • Section 1. Neuropsychology

  • Chapter 35. Case Studies in Neuropsychology

    Randi C. Martin, Simon Fischer-Baum, and Corinne M. Pettigrew

  • Chapter 36. Group Studies in Experimental Neuropsychology

    Avinash R Vaidya, Maia Pujara, and Lesley K. Fellows

    Section 2. Genetic Methods in Psychology

  • Chapter 37. Genetic Methods in Psychology

    Terrell A. Hicks, Daniel Bustamante, Karestan C. Koenen, Nicole R. Nugent, and Ananda B. Amstadter

  • Chapter 38. Human Genetic Epidemiology

    Floris Huider, Lannie Ligthart, Yuri Milaneschi, Brenda W. J. H. Penninx, and Dorret I. Boomsma



    Volume 3. Data Analysis and Research Publication

    Contents

  • Editorial Board

  • Contributors

    Part I. Quantitative Data Analysis

    Section 1. Preparing Data for Analysis

  • Chapter 1. Methods for Dealing With Bad Data and Inadequate Models: Distributions, Linear Models, and Beyond

    Rand R. Wilcox and Guillaume A. Rousselet

  • Chapter 2. Maximum Likelihood and Multiple Imputation Missing Data Handling: How They Work, and How to Make Them Work in Practice

    Timothy Hayes and Craig K. Enders

  • Chapter 3. Exploratory Data Analysis

    Paul F. Velleman and David C. Hoaglin

    Section 2. Describing Data

  • Chapter 4. Graphic Displays of Data

    Leland Wilkinson

  • Chapter 5. Estimating and Visualizing Interactions in Moderated Multiple Regression

    Connor J. McCabe and Kevin M. King

  • Chapter 6. Effect Size Estimation

    Michael Borenstein

  • Chapter 7. Measures of Clinically Significant Change

    Russell J. Bailey, Benjamin M. Ogles, and Michael J. Lambert

    Section 3. Methods With Single Outcomes

  • Chapter 8. Analysis of Variance and the General Linear Model

    James Jaccard and Ai Bo

  • Chapter 9. Generalized Linear Models

    David Rindskopf

  • Chapter 10. Multilevel Modeling for Psychologists

    John B. Nezlek

    Section 4. Methods With Outcomes Measured Over Time

  • Chapter 11. Longitudinal Data Analysis

    Andrew K. Littlefield

  • Chapter 12. Event History Analysis

    Fetene B. Tekle and Jeroen K. Vermunt

  • Chapter 13. Latent State-Trait Models

    Rolf Steyer, Christian Geiser, and Christiane Loss nitzer

  • Chapter 14. Latent Variable Modeling of Continuous Growth

    David A. Cole, Jeffrey A. Ciesla, and Qimin Liu

  • Chapter 15. Dynamical Systems and Differential Equation Models of Change

    Steven M. Boker and Robert G. Moulder

  • Chapter 16. A Multivariate Growth Curve Model for Three-Level Data

    Patrick J. Curran, Chris L. Strauss, Ethan M. McCormick, and James S. McGinley

    Section 5. Multivariate Methods

  • Chapter 17. Exploratory Factor Analysis and Confirmatory Factor Analysis

    Keith F. Widaman and Jonathan Lee Helm

  • Chapter 18. Latent Class and Latent Profile Models

    Brian P. Flaherty, Liying Wang, and Cara J. Kiff

  • Chapter 19. Decision Trees and Ensemble Methods in the Behavioral Sciences

    Kevin J. Grimm, Ross Jacobucci, and John J. McArdle

    Section 6. Dyadic and Social Network Data

  • Chapter 20. Using the Social Relations Model to Understand Interpersonal Perception and Behavior

    P. Niels Christensen, Deborah A. Kashy, and Katelin E. Leahy

  • Chapter 21. Dyadic Data Analysis

    Richard Gonzalez and Dale Griffin

    Section 7. Using Data Collected by Others

  • Chapter 22. The Data of Others: New and Old Faces of Archival Research

    Sophie Pychlau and David T. Wagner

  • Chapter 23. Social Network Analysis in Psychology: Recent Breakthroughs in Methods and Theories

    Wei Wang, Tobias Stark, James D. Westaby, Adam K. Parr, and Daniel A. Newman

  • Chapter 24. Meta-Analysis

    Jeffrey C. Valentine, Therese D. Pigott, and Joseph Morris

    Part II. Publishing and the Publication Process

  • Chapter 25. Research Data Management and Sharing

    Katherine G. Akers and John A. Borghi

  • Chapter 26. Questionable Practices in Statistical Analysis

  • Rex B. Kline

  • Chapter 27. Ethical Issues in Manuscript Preparation and Authorship

    Jennifer Crocker


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