An edition of Statistical and methodological myths and urban legends
(2009)
Statistical and methodological myths and urban legends
doctrine, verity, and fable in the organizational and social sciences
by Charles E. Lance
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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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| December 15, 2022 | Edited by MARC Bot | import existing book |
| July 7, 2019 | Edited by MARC Bot | import existing book |
| February 13, 2019 | Created by MARC Bot | import existing book |