The Resource 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
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 item 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 specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of San Diego Libraries.This item is available to borrow from 1 library branch.
Resource Information
The item 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 specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of San Diego Libraries.
This item is available to borrow from 1 library branch.
- Language
- eng
- Extent
- xix, 412 p.
- 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
- Isbn
- 9780805862379
- Label
- Statistical and methodological myths and urban legends : doctrine, verity and fable in the organizational and social sciences
- Title
- Statistical and methodological myths and urban legends
- Title remainder
- doctrine, verity and fable in the organizational and social sciences
- Statement of responsibility
- edited by Charles E. Lance and Robert J. Vandenberg
- Language
- eng
- Cataloging source
- DLC
- Illustrations
- illustrations
- Index
- index present
- LC call number
- HD30.4
- LC item number
- .S727 2009
- Literary form
- non fiction
- Nature of contents
- bibliography
- http://library.link/vocab/relatedWorkOrContributorDate
- 1954-
- http://library.link/vocab/relatedWorkOrContributorName
-
- Lance, Charles E.
- Vandenberg, Robert J
- http://library.link/vocab/subjectName
-
- Organization
- Organization
- Social sciences
- Social sciences
- Statistische analyse
- Sociaal-wetenschappelijk onderzoek
- Methodologie
- Mythevorming
- Urban legends
- 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
- 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
- 9780805862379
- Isbn Type
- (hardcover)
- Lccn
- 2008019657
- Other physical details
- ill.
- System control number
- (OCoLC)228300731
- 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
- 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
- 9780805862379
- Isbn Type
- (hardcover)
- Lccn
- 2008019657
- Other physical details
- ill.
- System control number
- (OCoLC)228300731
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