Literature DB >> 21319880

The criterion-related validity of integrity tests: an updated meta-analysis.

Chad H Van Iddekinge1, Philip L Roth, Patrick H Raymark, Heather N Odle-Dusseau.   

Abstract

Integrity tests have become a prominent predictor within the selection literature over the past few decades. However, some researchers have expressed concerns about the criterion-related validity evidence for such tests because of a perceived lack of methodological rigor within this literature, as well as a heavy reliance on unpublished data from test publishers. In response to these concerns, we meta-analyzed 104 studies (representing 134 independent samples), which were authored by a similar proportion of test publishers and non-publishers, whose conduct was consistent with professional standards for test validation, and whose results were relevant to the validity of integrity-specific scales for predicting individual work behavior. Overall mean observed validity estimates and validity estimates corrected for unreliability in the criterion (respectively) were .12 and .15 for job performance, .13 and .16 for training performance, .26 and .32 for counterproductive work behavior, and .07 and .09 for turnover. Although data on restriction of range were sparse, illustrative corrections for indirect range restriction did increase validities slightly (e.g., from .15 to .18 for job performance). Several variables appeared to moderate relations between integrity tests and the criteria. For example, corrected validities for job performance criteria were larger when based on studies authored by integrity test publishers (.27) than when based on studies from non-publishers (.12). In addition, corrected validities for counterproductive work behavior criteria were larger when based on self-reports (.42) than when based on other-reports (.11) or employee records (.15). (PsycINFO Database Record (c) 2012 APA, all rights reserved).

Mesh:

Year:  2011        PMID: 21319880     DOI: 10.1037/a0021196

Source DB:  PubMed          Journal:  J Appl Psychol        ISSN: 0021-9010


  1 in total

1.  Virtual humans: transforming mHealth for veterans with post-traumatic stress disorder (PTSD).

Authors:  Glenn Albright; Jeremiah T McMillan
Journal:  Mhealth       Date:  2018-03-30
  1 in total

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