New in paperback. Hardcover was published in 2002.
"The 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 edited book, leading methodological and measurement scholars discuss topics spanning the entire organizational research process. Features include: only available research handbook for Industrial & Organizational Psychology; contributors are leading methodological & measurement scholars; excellent balance of practical and theoretical insights which will be of interest to both novice and experienced organizational researchers; and, great companion to the content-oriented Handbooks.
List of Contributors.Preface.Acknowledgements.Part I: Foundations.1. History of Research Methods in Industrial and Organizational Psychology: Measurement, Design, Analysis: James T. Austin, Charles A. Scherbaum, Robert A. Mahlman.2. Ethics in Research: Herman Aguinis and Christine A. Henle.3. Validity and Reliability: Robert M. Guion.4. The Relative Validity and Usefulness of Various Empirical Research Designs: Eugene F. Stone-Romero.5. An Introduction to Qualitative Research: Its Potential for Industrial and Organizational Psychology: Karen Locke and Karen Golden-Biddle.6. Using Power Analysis to Evaluate and Improve Research: Kevin Murphy.Part II: Data Collection Procedures and Approaches.7. Organizational Survey Research: Overview, the Internet/Intranet and Present Practices of Concern: Steven G. Rogelberg, Allan H. Church, Janine Waclawski, and Jeffrey M. Stanton.8. Qualitative Data Collection and Analysis: Peter D. Bachiochi and Sara P. Weiner.9. Computational Modeling: Michael J. Zickar and Jerel E. Slaughter.10. Research Perspectives on Meta-Analysis: Allen I. Huffcutt.11. Methodological Issues in Cross-Cultural Organizational Research: Michele J. Gelfand, Jana L. Raver, and Karen Holcombe Ehrhart.12. Issues in Multilevel Research: Theory Development, Measurement, and Analysis: David A. Hofmann.13. Beyond Online Surveys: Internet Research Opportunities for Industrial-Organizational Psychology: Jeffrey M. Stanton and Steven G. Rogelberg.Part III: Data Investigation.14. Outliers and Influential Cases: Handling Those Discordant Contaminated Maverick Rogues: Philip L. Roth and Fred S. Switzer III.15. Coping with Missing Data: Fred S. Switzer III and Philip L. Roth.16. Item Analysis: Theory and Practice Using Classical and Modern Test Theory: Barbara B. Ellis and Alan D. Mead.17. Method Variance and Method Bias in Industrial and Organizational Psychology: James M. Conway.18. Basic and Advanced Measurement Models for Confirmatory Factor Analysis: Larry J. Williams, Lucy R. Ford, and Nhung Nguyen.19. Modeling Complex Data Structures: The General Linear Model: Richard P. DeShon and Scott B. Morris.20. Longitudinal Modeling: David Chan.21. Modeling Nonlinear Relationships: Neural Networks and Catastrophe Analysis: Paul J. Hanges, Robert G. Lord, Ellen G. Godfre and Jana L. Raver.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.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.Name Index.Subject Index.