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008 090804t2009 nyua f b 001 0 eng d
020 _a9780805862379 (hardcover)
020 _a9780805862386 (pbk.)
039 9 _a201107132313
_bVLOAD
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040 _aUMP
090 _aHD30.4 .S73 2009
245 0 0 _aStatistical and methodological myths and urban legends :
_bdoctrine, verity, and fable in the organizational and social sciences /
_c[edited by] Charles E. Lance & Robert J. Vandenberg
260 _aNew York :
_bRoutledge/Psychology Press,
_c2009
300 _axix, 412 p. :
_bill. ;
_c24 cm.
504 _aIncludes bibliographical references and index
505 0 _aStatistical 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
650 0 _aOrganization
_xResearch
_xMethodology
650 0 _aOrganization
_xResearch
_xStatistical methods
650 0 _aSocial sciences
_xStatistical methods
650 0 _aSocial sciences
_xResearch
_xStatistical methods
700 1 _aLance, Charles E.
700 1 _aVandenberg, Robert J.
856 4 1 _3Table of contents only
_uhttp://www.loc.gov/catdir/toc/ecip0818/2008019657.html
999 _aVIRTUA40
_c58554
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