More Statistical and Methodological Myths and Urban Legends

Abstract

Part 1. Statistical Issues. Daniel A. Newman, Missing Data Techniques and Low Response Rates: The Role of Systematic Nonresponse Parameters. Michael J. Zickar, Alison A. Broadfoot, The Partial Revival of a Dead Horse? Comparing Classical Test Theory and Item Response Theory. Deborah L. Bandalos, Meggen R. Boehm, Four Common Misconceptions in Exploratory Factor Analysis. Adam W. Meade, Tara S. Behrend, Charles E. Lance, Dr. StrangeLOVE, or: How I Learned to Stop Worrying and Love Omitted Variables. James M. LeBreton, Jane Wu, Mark N. Bing, The Truth(s) on Testing for Mediation in the Social and Organizational Sciences. Jeffrey R. Edwards, Seven Deadly Myths of Testing Moderation in Organizational Research. Robert J. Vandenberg, Darrin M. Grelle, Alternative Model Specifications in Structural Equation Modeling: Facts, Fictions, and Truth. Ronald S. Landis, Bryan D. Edwards, Jose M. Cortina, On the Practice of Allowing Correlated Residuals Among Indicators in Structural Equation Models. Part 2. Methodological Issues. Lillian T. Eby, Carrie S. Hurst, Marcus M. Butts, Qualitative Research: The Red-Headed Stepchild in Organizational and Social Science Research? Scott Highhouse, Jennifer Z. Gillespie, Do Samples Really Matter That Much? Herman Aguinis, Erika E. Harden, Sample Size Rules of Thumb: Evaluating Three Common Practices. Jose M. Cortina, Ronald S. Landis, When Small Effect Sizes Tell a Big Story, and When Large Effect Sizes Don't. David Chan, Why Ask Me? Are Self-report Data Really that Bad? Charles E. Lance, Lisa E. Baranik, Abby R. Lau, Elizabeth A. Scharlau, If It Ain't Trait It Must Be Method: (Mis)application of the Multitrait Multimethod Design in Organizational Research. Marcus M. Butts, Thomas W. H. Ng, Chopped Liver? OK. Chopped Data? Not OK .