TY  - BOOK
AU  - 
AU  - Lance,Charles E.
AU  - Vandenberg,Robert J.
TI  - Statistical and methodological myths and urban legends: doctrine, verity and fable in the organizational and social sciences 
SN  - 9780805862379 (hardcover)
AV  - HD30.4 .S727 2009
U1  - 300.72 22
PY  - 2009///
CY  - New York, London
PB  - Routledge
KW  - Organization
KW  - Research
KW  - Methodology
KW  - Statistical methods
KW  - Social sciences
KW  - fast
N1  - 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 don't / Jose M. Cortina and Ronald S. Landis -- So 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 ... [et al.]. Chopped liver? -- OK. Chopped data? -- Not OK / Marcus M. Butts and Thomas W.H. Ng
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ER  -