Research Catalog

Statistical and methodological myths and urban legends : doctrine, verity and fable in the organizational and social sciences

Title
Statistical and methodological myths and urban legends : doctrine, verity and fable in the organizational and social sciences / edited by Charles E. Lance and Robert J. Vandenberg.
Publication
New York : Routledge, [2009], ©2009.

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TextRequest in advance HD30.4 .S727 2009Off-site

Details

Additional Authors
  • Lance, Charles E., 1954-
  • Vandenberg, Robert J.
Description
xix, 412 pages : illustrations; 23 cm
Subjects
Bibliography (note)
  • Includes bibliographical references and indexes.
Contents
1. Missing Data Techniques and Low Response Rates: The Role of Systematic Nonresponse Parameters / Daniel A. Newman -- 2. The Partial Revival of a Dead Horse? Comparing Classical Test Theory and Item Response Theory / Michael J. Zickar and Alison A. Broadfoot -- 3. Four Common Misconceptions in Exploratory Factor Analysis / Deborah L. Bandalos and Meggen R. Boehm-Kaufman -- 4. Dr. StrangeLOVE, or: How I Learned to Stop Worrying and Love Omitted Variables / Adam W. Meade, Tara S. Behrend and Charles E. Lance -- 5. The Truth(s) on Testing for Mediation in the Social and Organizational Sciences / James M. LeBreton, Jane Wu and Mark N. Bing -- 6. Seven Deadly Myths of Testing Moderation in Organizational Research / Jeffrey R. Edwards -- 7. Alternative Model Specifications in Structural Equation Modeling: Facts, Fictions, and Truth / Robert J. Vandenberg and Darrin M. Grelle -- 8. On the Practice of Allowing Correlated Residuals Among Indicators in Structural Equation Models / Ronald S. Landis, Bryan D. Edwards and Jose M. Cortina -- 9. Qualitative Research: The Redheaded Stepchild in Organizational and Social Science Research? / Lillian T. Eby, Carrie S. Hurst and Marcus M. Butts -- 10. Do Samples Really Matter That Much? / Scott Highhouse and Jennifer Z. Gillespie -- 11. Sample Size Rules of Thumb: Evaluating Three Common Practices / Herman Aguinis and Erika E. Harden -- 12. When Small Effect Sizes Tell a Big Story, and When Large Effect Sizes Don't / Jose M. Cortina and Ronald S. Landis -- 13. So Why Ask Me? Are Self-Report Data Really That Bad? / David Chan -- 14. If It Ain't Trait It Must Be Method: (Mis)application of the Multitrait-Multimethod Design in Organizational Research / Charles E. Lance, Lisa E. Baranik, Abby R. Lau and Elizabeth A. Scharlau -- 15. Chopped Liver? OK. Chopped Data? Not OK / Marcus M. Butts and Thomas W. H. Ng.
ISBN
  • 9780805862379 (hardcover)
  • 0805862374 (hardcover)
  • 9780805862386 (pbk.)
  • 0805862382 (pbk.)
LCCN
  • 2008019657
  • 40016063201
OCLC
  • ocn228300731
  • 228300731
  • SCSB-9034225
Owning Institutions
Columbia University Libraries