Statistical and methodological myths and urban legends :  doctrine, verity, and fable in the organizational and social sciences / 
[edited by] Charles E. Lance & Robert J. Vandenberg 
 - New York :  Routledge/Psychology Press,  2009 
 - xix, 412 p. :  ill. ;  24 cm. 
<br/><br/>Includes bibliographical references and index 
<br/><br/>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, Alison A. Broadfoot -- Four common misconceptions in exploratory factor analysis / Deborah L. Bandalos, Meggen R. Boehm -- Dr. Strangelove, or : how I learned to stop worrying and love omitted variables / Adam W. Meade, Tara S. Behrend, Charles E. Lance -- The truth(s) on testing for mediation in the social and organizational sciences / James M. LeBreton, Jane Wu, 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, Darrin M. Grelle -- On the practice of allowing correlated residuals among indicators in structural equation models / Ronald S. Landis, Bryan D. Edwards, Jose M. Cortina -- Methodological issues -- Qualitative research : the red-headed stepchild in organizational and social science research? / Lillian T. Eby, Carrie S. Hurst, Marcus M. Butts -- Do samples really matter that much? / Scott Highhouse, Jennifer Z. Gillespie -- Sample size rules of thumb : evaluating three common practices / Herman Aguinis, Erika E. Harden -- When small effect sizes tell a big story and when large effect sizes don’t / Jose M. Cortina, Ronald S. Landis -- Why ask me? are self-report data really that bad? / David Chan -- 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, Elizabeth A. Scharlau -- Chopped liver? ok. chopped data? not ok. / Marcus M. Butts, Thomas W.H. Ng 
<br/><br/><label>ISBN: </label>9780805862379 (hardcover) 9780805862386 (pbk.) 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Organization--Research--Methodology<br/>Organization--Research--Statistical methods<br/>Social sciences--Statistical methods<br/>Social sciences--Research--Statistical methods