Statistical and methodological myths and urban legends : doctrine verity and fable in the organizational and social sciences Statistical issues Missing data techniques and low response rates : the role of systematic nonresponse parameters Daniel A. Newman The partial revival of a dead horse : comparing classical test theory and item response theory Michael J. Zickar and Alison A. Broadfoot Four common misconceptions in exploratory factor analysis Deborah L. Bandalos and Meggen R. Boehm Kaufman Dr. StrangeLOVE or : how I learned to stop worrying and love omitted variables Adam W. Meade Tara S. Behrend and Charles E. Lance The truth(s) on testing for mediation in the social and organizational sciences James M. LeBreton Jane Wu and Mark N. Bing Seven deadly myths of testing moderation in organizational research Jeffrey R. Edwards Alternative model specifications in structural equation modeling : facts fictions and truth Robert J. Vandenberg and Darrin M. Grelle On the practice of allowing correlated residuals among indicators in structural equation models Ronald S. Landis Bryan D. Edwards and Jose M. Cortina Methodological issues Qualitative research : the redheaded stepchild in organizational and social science research Lillian T. Eby Carrie S. Hurst and Marcus M. Butts Do samples really matter that much Scott Highhouse and Jennifer Z. Gillespie Sample size rules of thumb : evaluating three common practices Herman Aguinis and Erika E. Harden When small effect sizes tell a big story and when large effect sizes dont Jose M. Cortina and Ronald S. Landis So why ask me : are self report data really that bad David Chan If it aint trait it must be method : (mis)application of the multitrait multimethod design in organizational research Charles E. Lance ... [et al.] Chopped liver OK. Chopped data Not OK Marcus M. Butts and Thomas W.H. Ng