| Record ID | marc_columbia/Columbia-extract-20221130-031.mrc:167825760:5048 |
| Source | marc_columbia |
| Download Link | /show-records/marc_columbia/Columbia-extract-20221130-031.mrc:167825760:5048?format=raw |
LEADER: 05048cam a2200709 i 4500
001 15104882
005 20221126231238.0
006 m o d
007 cr mn|||||n|||
008 140630s2015 nyua ob 001 0 eng
035 $a(OCoLC)ocn904339416
035 $a(NNC)15104882
040 $aNz$beng$erda$epn$cZ5A$dOCLCO$dOCLCF$dOCLCO$dEBLCP$dN$T$dIDEBK$dYDXCP$dE7B$dDEBSZ$dOCLCO$dOCLCQ$dOCLCO$dTYFRS$dOCLCO$dOCLCQ$dZ5A$dOCLCQ$dUAB$dBUF$dOCLCQ$dLEAUB$dAU@$dUKAHL$dOCLCQ$dITD$dK6U$dOCLCO$dSFB$dOCLCO$dOCLCQ
019 $a894171576$a958105354$a1260358931
020 $a1135039437$q(Internet)
020 $a9781135039431$q(Internet)
020 $a9780203775851
020 $a0203775856
020 $z0415838983$q(hardback)
020 $z9780415838986$q(hardback)
020 $z0415838991$q(pbk.)
020 $z9780415838993$q(pbk.)
024 8 $a40024320599
035 $a(OCoLC)904339416$z(OCoLC)894171576$z(OCoLC)958105354$z(OCoLC)1260358931
050 4 $aHD30.4$b.M67 2015
072 7 $aSOC$x041000$2bisacsh
072 7 $aSOC$x023000$2bisacsh
082 04 $a300.72$223
084 $aPSY021000$aPSY030000$aPSY032000$2bisacsh
049 $aZCUA
245 00 $aMore statistical and methodological myths and urban legends /$cedited by Charles E. Lance and Robert J. Vandenberg.
264 1 $aNew York, NY :$bRoutledge,$c2015.
300 $a1 online resource (x, 357 pages) :$billustrations
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
504 $aIncludes bibliographical references and index.
588 $aBased on print version record.
505 0 $aCover; Title; Copyright; CONTENTS; List of Contributors; Introduction; PART I General Issues; 1 Is Ours a Hard Science (and Do We Care)?; 2 Publication Bias: Understanding the Myths Concerning Threats to the Advancement of Science; PART II Design Issues; 3 Red-Headed No More: Tipping Points in Qualitative Research in Management; 4 Two Waves of Measurement Do Not a Longitudinal Study Make; 5 The Problem of Generational Change: Why Cross-Sectional Designs Are Inadequate for Investigating Generational Differences; 6 Negatively Worded Items Negatively Impact Survey Research.
505 8 $a7 Missing Data Bias: Exactly How Bad Is Pairwise Deletion?8 Size Matters ... Just Not in the Way that You Think: Myths Surrounding Sample Size Requirements for Statistical Analyses; PART III Analytical Issues; 9 Weight a Minute ... What You See in a Weighted Composite Is Probably Not What You Get!; 10 Debunking Myths and Urban Legends about How to Identify Influential Outliers; 11 Pulling the Sobel Test Up By Its Bootstraps; PART IV Inferential Issues; 12 "The" Reliability of Job Performance Ratings Equals 0.52.
505 8 $a13 Use of "Independent" Measures Does Not Solve the Shared Method Bias Problem14 The Not-So-Direct Cross-Level Direct Effect; 15 Aggregation Aggravation: The Fallacy of the Wrong Level Revisited; 16 The Practical Importance of Measurement Invariance; Index.
520 $aThis book provides an up-to-date review of commonly undertaken methodological and statistical practices that are based partially in sound scientific rationale and partially in unfounded lore. Some examples of these "methodological urban legends" are characterized by manuscript critiques such as: (a) "your self-report measures suffer from common method bias"; (b) "your item-to-subject ratios are too low"; (c) "you can't generalize these findings to the real world"; or (d) "your effect sizes are too low."What do these critiques mean, and what is their historical basis? More Statistical and Metho
650 0 $aOrganization$xResearch$xMethodology.
650 0 $aOrganization$xResearch$xStatistical methods.
650 0 $aSocial sciences$xStatistical methods.
650 0 $aSocial sciences$xResearch$xStatistical methods.
650 6 $aOrganisation$xRecherche$xMéthodologie.
650 6 $aOrganisation$xRecherche$xMéthodes statistiques.
650 6 $aSciences sociales$xMéthodes statistiques.
650 6 $aSciences sociales$xRecherche$xMéthodes statistiques.
650 7 $aSOCIAL SCIENCE$xEssays.$2bisacsh
650 7 $aSOCIAL SCIENCE$xReference.$2bisacsh
650 7 $aOrganization$xResearch$xMethodology.$2fast$0(OCoLC)fst01047792
650 7 $aOrganization$xResearch$xStatistical methods.$2fast$0(OCoLC)fst01047793
650 7 $aSocial sciences$xResearch$xStatistical methods.$2fast$0(OCoLC)fst01122971
650 7 $aSocial sciences$xStatistical methods.$2fast$0(OCoLC)fst01122983
700 1 $aLance, Charles E.,$d1954-$eeditor.
700 1 $aVandenberg, Robert J.,$eeditor.
730 0 $aStatistical and methodological myths and urban legends.
776 08 $iPrint version:$tMore statistical and methodological myths and urban legends.$dNew York, NY : Routledge, 2015$z9780415838986$z9780415838993$w(OCoLC)882463732
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15104882$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS