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Last edited by IdentifierBot
August 18, 2010 | History
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Statistical and methodological myths and urban legends
[edited by] Charles E. Lance & ...
Statistical and methodological myths and urban legends
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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 & Robert J. Vandenberg.
Published
2009
by
Routledge/Psychology Press
in
New York
.
Written in English.
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.
Classifications
Dewey Decimal Class |
300.72 |
Library of Congress |
HD30.4 .S727 2009 |
The Physical Object
Pagination |
p. cm. |
ID Numbers
Open Library |
OL16865016M |
ISBN 13 |
9780805862379, 9780805862386 |
LC Control Number |
2008019657 |
Library Thing |
8980345 |
Goodreads |
4299762
|
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History Created September 26, 2008 · 6 revisions
| August 18, 2010 | Edited by IdentifierBot | added LibraryThing ID |
| April 16, 2010 | Edited by bgimpertBot | Added goodreads ID. |
| March 1, 2010 | Edited by ImportBot | Found a matching record from Library of Congress . |
| October 22, 2009 | Edited by 66.218.139.18 | Edited without comment. |
| September 26, 2008 | Created by ImportBot | Initial record created, from Library of Congress MARC record. |