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Subjects
Statistical methods, Organization, Methodology, Social sciences, Research, Organisation, Recherche, Méthodologie, Méthodes statistiques, Sciences sociales, SOCIAL SCIENCE, Methode, Sozialwissenschaften, Statistik, Statistische analyse, Sociaal-wetenschappelijk onderzoek, Methodologie, Mythevorming, Urban legendsShowing 1 featured edition. View all 1 editions?
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Statistical and methodological myths and urban legends: doctrine, verity, and fable in the organizational and social sciences
2009, Routledge/Psychology Press, Routledge
in English
0805862374 9780805862379
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Book Details
Table of 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, 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.
Edition Notes
Includes bibliographical references.
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- Created September 26, 2008
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November 29, 2023 | Edited by MARC Bot | import existing book |
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September 26, 2008 | Created by ImportBot | Imported from Library of Congress MARC record |