000 | 04072cam a2200457Mc 4500 | ||
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001 | ocn465888527 | ||
003 | OCoLC | ||
005 | 20140604135618.0 | ||
008 | 140410s2009 xxu 000 0 eng d | ||
010 | _aHD30.4.S727 2009 | ||
020 | _a9780805862379 (hardcover) | ||
020 | _a0805862374 (hardcover) | ||
020 | _a9780805862386 (pbk.) | ||
020 | _a0805862382 (pbk.) | ||
040 |
_aDKDLA _bdan _cDKDLA _dOCLCO _dOCLCF |
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050 | 1 | 4 |
_aHD30.4 _b.S727 2009 |
082 | 0 | 4 |
_a300.72 _222 |
084 |
_aO:dd _2z |
||
100 | _4Lance, Charles E.; Vandenberg, Robert J. | ||
245 | 0 | 0 |
_aStatistical and methodological myths and urban legends : _bdoctrine, verity and fable in the organizational and social sciences / _cedited by Charles E. Lance & Robert J. Vandenberg |
260 |
_aNew York ; _aLondon : _bRoutledge, _c2009 |
||
300 |
_axix, 412 s. : _bill. |
||
505 | 0 | _aStatistical 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. | |
650 | 0 |
_aOrganization _xResearch _xMethodology. |
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650 | 0 |
_aOrganization _xResearch _xStatistical methods. |
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650 | 0 |
_aSocial sciences _xStatistical methods. |
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650 | 0 |
_aSocial sciences _xResearch _xStatistical methods. |
|
650 | 7 |
_aOrganization _xResearch _xMethodology. _2fast |
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650 | 7 |
_aOrganization _xResearch _xStatistical methods. _2fast |
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650 | 7 |
_aSocial sciences _xResearch _xStatistical methods. _2fast |
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650 | 7 |
_aSocial sciences _xStatistical methods. _2fast |
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700 | 1 | _aLance, Charles E. | |
700 | 1 | _aVandenberg, Robert J. | |
856 | 4 |
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_iInput this URL in a browser to get GIF cover art data. _qGIF _uhttp://firstsearch.oclc.org/WebZ/DCARead?standardNoType=1&standardNo=9780805862379:srcdbname=worldcat:fromExternal=true&sessionid=0 _3cover art |
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