Statistical and methodological myths and urban legends doctrine, verity and fable in the organizational and social sciences
| Otros Autores: | , |
|---|---|
| Formato: | Libro |
| Idioma: | Inglés |
| Publicado: |
New York ; London :
Routledge
2009
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| Materias: | |
| Acceso en línea: | Sumario |
| Ver en Universidad de Navarra: | https://unika.unav.edu/discovery/fulldisplay?docid=alma991006932699708016&context=L&vid=34UNAV_INST:VU1&search_scope=34UNAV_TODO&tab=34UNAV_TODO&lang=es |
Tabla de Contenidos:
- 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
