Handbook of Research Methods in Industrial and Organizational Psychology: (Blackwell Handbooks of Research Methods in Psychology)

Handbook of Research Methods in Industrial and Organizational Psychology is a comprehensive and contemporary treatment of research philosophies, approaches, tools, and techniques indigenous to industrial and organizational psychology. In this volume, leading methodological and measurement scholars discuss topics spanning the entire organizational research process. Topics include, but are not limited to, research ethics, reliability and validity, research design, qualitative research paradigms, power analysis, computational modeling, confirmatory factor analysis, internet data collection, longitudinal modeling, modeling complex data structures, multilevel research, cross-cultural organizational research, and modeling nonlinear relationships. Chapters are written so that both the novice and the experienced researcher will gain new and useful practical and theoretical insights into how to systematically and pragmatically study work-related phenomena. This handbook will serve as an excellent modern complement to other more content-based handbooks of industrial/organizational psychology, organizational behavior, and human resources management.

Table of Contents:
List of Contributors. Preface. Acknowledgements. Part I: Foundations: 1. History of Research Methods in Industrial and Organizational Psychology: Measurement, Design, Analysis: James T. Austin (Ohio State University), Charles A. Scherbaum (Ohio University), Robert A. Mahlman (Ohio State University)2. Ethics in Research: Herman Aguinis (University of Colorado at Denver) and Christine A. Henle (University of North Carolina, Charlotte)3. Validity and Reliability: Robert M. Guion (Bowling Green State University)4. The Relative Validity and Usefulness of Various Empirical Research Designs: Eugene F. Stone-Romero (University of Central Florida)5. An Introduction to Qualitative Research: Its Potential for Industrial and Organizational Psychology: Karen Locke (College of William and Mary) and Karen Golden-Biddle (University of Alberta)6. Using Power Analysis to Evaluate and Improve Research: Kevin Murphy (Pennsylvania State University)Part II: Data Collection Procedures and Approaches: 7. Organizational Survey Research: Overview, the Internet/Intranet and Present Practices of Concern: Steven G. Rogelberg (Bowling Green State University), Allan H. Church (PepsiCo, Inc. , New York), Janine Waclawski (PricewaterhouseCoopers, LLP, Connecticut), and Jeffrey M. Stanton (Syracuse University)8. Qualitative Data Collection and Analysis: Peter D. Bachiochi (Eastern Connecticut State University) and Sara P. Weiner (Global Employee Research, IBM, Arizona)9. Computational Modeling: Michael J. Zickar (Bowling Green State University) and Jerel E. Slaughter (Louisiana State University)10. Research Perspectives on Meta-Analysis: Allen I. Huffcutt (Bradley University)11. Methodological Issues in Cross-Cultural Organizational Research: Michele J. Gelfand (University of Maryland), Jana L. Raver (University of Maryland), and Karen Holcombe Ehrhart (San Diego State University)12. Issues in Multilevel Research: Theory Development, Measurement, and Analysis: David A. Hofmann (University of North Carolina)13. Beyond Online Surveys: Internet Research Opportunities for Industrial-Organizational Psychology: Jeffrey M. Stanton (Syracuse University) and Steven G. Rogelberg (Bowling Green State University)Part III: Data Investigation: 14. Outliers and Influential Cases: Handling Those Discordant Contaminated Maverick Rogues: Philip L. Roth and Fred S. Switzer III (both Clemson University)15. Coping with Missing Data: Fred S. Switzer III and Philip L. Roth (both Clemson University)16. Item Analysis: Theory and Practice Using Classical and Modern Test Theory: Barbara B. Ellis (University of Houston) and Alan D. Mead (Aon Consulting, Illinois)17. Method Variance and Method Bias in Industrial and Organizational Psychology: James M. Conway (Central Connecticut State University)18. Basic and Advanced Measurement Models for Confirmatory Factor Analysis: Larry J. Williams, Lucy R. Ford, and Nhung Nguyen (all Virginia Commonwealth University)19. Modeling Complex Data Structures: The General Linear Model: Richard P. DeShon (Michigan State University) and Scott B. Morris (Illinois Institute of Technology)20. Longitudinal Modeling: David Chan (National University of Singapore)21. Modeling Nonlinear Relationships: Neural Networks and Catastrophe Analysis: Paul J. Hanges (University of Maryland), Robert G. Lord (University of Akron), Ellen G. Godfre (University of Maryland), and Jana L. Raver (University of Maryland)Part IV: Concluding Thoughts: 22. Writing Research Articles: Update on the Article Review Checklist: Erica I. Desrosiers, Kathryn Sherony, Eduardo Barros, Gary A. Ballinger, Sinem Senol, and Michael A. Campion (all Purdue University)23. Securing Our Collective Future: Challenges Facing Those Designing and Doing Research in Industrial and Organizational Psychology: Steven G. Rogelberg and Margaret E. Brooks-Laber (both Bowling Green State University)Name Index. Subject Index.

About the Author :
Steven G. Rogelberg is Associate Professor of Psychology at Bowling Green State University and the Director of the Institute for Psychological Research and Application. He has published widely on issues of organizational research methods, team effectiveness, and employee morale.

Review :
"This volume provides a comprehensive and cutting-edge examination of research and statistical methods that are used in the field. It will be an invaluable resource for faculty and students. I have no doubt that the book will easily meet its goal of helping to improve research quality." James L. Farr, Pennsylvania State University "A handbook that brings together the best researchers and thinkers in the areas of social science methodology and data analysis. This informative collection is a 'must-read' for all those interested in method-related issues." Wally Borman, University of South Florida "Excellent coverage of key issues and packed with useful ideas." Peter Warr, University of Sheffield "This handbook is 'must-reading' for all graduate students in I/O psychology as well as for the more experienced I/O researcher and practitioner who will benefit from a review, an update, and the opportunity to learn new approaches." Sheldon Zedeck, University of California at Berkeley "The topics are well chosen and the chapters are written in an accessible style. The handbook is an indispensable reference for those interested in this important area." Nik Chmiel, Queen's University, Belfast "Rogelberg's handbook is a Rosetta Stone for researchers." Milton D. Hakel, Bowling Green State University "This one volume covers both traditional design and measurement issues as well as a host of cutting-edge topics. At last a readable and comprehensive review of research methodology for the organizational scientist!" Robert L. Dipboye, Rice University