Statistical and methodological myths and urban legends : doctrine, verity and fable in the organizational and social sciences, edited by Charles E. Lance and Robert J. Vandenberg
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The instance Statistical and methodological myths and urban legends : doctrine, verity and fable in the organizational and social sciences, edited by Charles E. Lance and Robert J. Vandenberg represents a material embodiment of a distinct intellectual or artistic creation found in University of San Diego Libraries.
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Statistical and methodological myths and urban legends : doctrine, verity and fable in the organizational and social sciences, edited by Charles E. Lance and Robert J. Vandenberg
Resource Information
The instance Statistical and methodological myths and urban legends : doctrine, verity and fable in the organizational and social sciences, edited by Charles E. Lance and Robert J. Vandenberg represents a material embodiment of a distinct intellectual or artistic creation found in University of San Diego Libraries.
- Label
- Statistical and methodological myths and urban legends : doctrine, verity and fable in the organizational and social sciences, edited by Charles E. Lance and Robert J. Vandenberg
- Title remainder
- doctrine, verity and fable in the organizational and social sciences
- Statement of responsibility
- edited by Charles E. Lance and Robert J. Vandenberg
- Bibliography note
- Includes bibliographical references and indexes
- Contents
- 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
- Control code
- 228300731
- Dimensions
- 24 cm
- Extent
- xix, 412 p.
- Isbn
- 9780805862386
- Isbn Type
- (pbk.)
- Lccn
- 2008019657
- Other physical details
- ill.
- Record ID
- .b23626070
- System control number
- (OCoLC)228300731
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