More statistical and methodological myths and urban legends /
[Book]
edited by Charles E. Lance, Robert J. Vandenberg.
x, 357 pages :
illustrations ;
23 cm
Includes bibliographical references and index.
Is ours a hard science (and do we care)? / Ronald S. Landis and José M. Cortina -- Publication bias : understanding the myths concerning threats to the advancement of science / George C. Banks, Sven Kepes and Michael A. McDaniel -- Red-headed no more : tipping points in qualitative research in management -- Anne D. Smith, Laura T. Madden and Donde Ashmos Plowman -- Two waves of measurement do not a longitudinal study make / Robert E. Ployhart and William I. MacKenzie Jr -- The problem of generational change : why cross-sectional designs are inadequate for investigating generational differences / Brittany Gentile, Lauren A. Wood, Jean M. Twenge, Brian J. Hoffman and W. Keith Campbell -- Negatively worded items negatively impact survey research / Dev K. Dalal and Nathan T. Carter -- Missing data bias : exactly how bad is pairwise deletion? / Daniel A. Newman and Jonathan M. Cottrell -- Size matters ... just not in the way that you think : myths surrounding sample size requirements for statistical analyses / Scott Tonidandel, Eleanor B. Williams and Jams M. LeBreton -- Weight a minute ... what you see in a weighted composite is probably not what you get! / Frederick L. Oswald, Dan J. Putka and Jisoo Ock -- Debunking myths and urban legends about how to identify influential outliers / Herman Aguinis and Harry Joo -- Pulling the Sobel test up by its bootstraps / Joel Koopman, Michael Howe and John R. Hollenbeck -- "The" reliability of job performance ratings equals 0.52 / Dan J. Putka and Brian J. Hoffman -- Use of "independent" measures does not solve the shared method bias problem / Charles E. Lance and Allison B. Siminovsky -- The not-so-direct cross-level direct effect / Alexander C. LoPilato and Robert J. Vandenberg -- Aggregation aggravation : the fallacy of the wrong level revisited / David J. Woehr, Andrew C. Loignon and Paul Schmidt -- The practical importance of measurement invariance / Neal Schmitt and Abdifatah A. Ali.
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Statistical and methodological myths and urban legends.