publication . Article . Other literature type . 2013

Mechanical versus clinical data combination in selection and admissions decisions: A meta-analysis.

Deniz S. Ones; David M. Klieger; Nathan R. Kuncel; Brian S. Connelly;
Open Access
  • Published: 01 Jan 2013 Journal: Journal of Applied Psychology, volume 98, pages 1,060-1,072 (issn: 0021-9010, eissn: 1939-1854, Copyright policy)
  • Publisher: American Psychological Association (APA)
Abstract
In employee selection and academic admission decisions, holistic (clinical) data combination methods continue to be relied upon and preferred by practitioners in our field. This meta-analysis examined and compared the relative predictive power of mechanical methods versus holistic methods in predicting multiple work (advancement, supervisory ratings of performance, and training performance) and academic (grade point average) criteria. There was consistent and substantial loss of validity when data were combined holistically-even by experts who are knowledgeable about the jobs and organizations in question-across multiple criteria in work and academic settings. I...
Persistent Identifiers
Subjects
free text keywords: Applied Psychology, Criterion validity, Grading (education), Predictive power, Personnel selection, Meta-analysis, Social psychology, Academic achievement, Job performance, Validity, Psychology
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