Handbook of Research Methods in Industrial and Organizational Psychology

av Prof Steven Rogelberg  (häftad, 2004)

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Handbook of Research Methods in Industrial and Organizational Psychology (häftad)
  • Häftad (paperback)
  • Språk: Engelska
  • Antal sidor: 536
  • Utg.datum: 2004-07-01
  • Upplaga: New ed
  • Förlag: Blackwell Publishing Ltd
  • Medarbetare: Rogelberg, Prof Steven (university Of North Caroli (red.)
  • Illustrationer: 76
  • Dimensioner: 245 x 170 x 40 mm
  • Vikt: 932 g
  • Antal komponenter: 1
  • Komponenter: 1
  • ISBN: 9781405127004

Recensioner i media

"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 "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 "Rogelberg's handbook is a Rosetta Stone for researchers." Milton D. Hakel, Bowling Green 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 "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 "Excellent coverage of key issues and packed with useful ideas." Peter Warr, University of Sheffield "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

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Övrig information

Dr. Steven G. Rogelberg (Associate Professor, Psychology and Adjunct Associate Professor, Business Administration) is Director of the Industrial and Organizational Psychology Program at UNC Charlotte. He has over 45 publications and 25 invited addresses/colloquiums addressing issues such as organizational research methods, team effectiveness, health and employee well-being, meetings at work, and organizational development. He is the Editor-in-Chief of the two-volume Encyclopedia of Industrial and Organizational Psychology (in progress). Recent honors include being named Chair of Education and Training for the Society of Industrial and Organizational Psychology (SIOP), serving as a SIOP Executive Board Member, serving as Guest Editor for Organizational Research Methods, receiving the 2001 Bowling Green State University (BGSU) Psi Chi Professor of the Year Award, and receiving the BGSU Master Teacher Award. Prior to his recent tenure at UNCC, Rogelberg was an Associate Professor of Psychology in the Industrial and Organizational Psychology area at BGSU. Before completing his Ph.D. in Industrial/Organizational Psychology at the University of Connecticut in 1994, he received his undergraduate B.Sc. degree from Tufts University in 1989.

Innehållsförteckning

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.

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