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.