Document Detail


Mechanical Versus Clinical Data Combination in Selection and Admissions Decisions: A Meta-Analysis.
MedLine Citation:
PMID:  24041118     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
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. In predicting job performance, the difference between the validity of mechanical and holistic data combination methods translated into an improvement in prediction of more than 50%. Implications for evidence-based practice are discussed. (PsycINFO Database Record (c) 2013 APA, all rights reserved).
Authors:
Nathan R Kuncel; David M Klieger; Brian S Connelly; Deniz S Ones
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-9-16
Journal Detail:
Title:  The Journal of applied psychology     Volume:  -     ISSN:  1939-1854     ISO Abbreviation:  J Appl Psychol     Publication Date:  2013 Sep 
Date Detail:
Created Date:  2013-9-17     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0222526     Medline TA:  J Appl Psychol     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
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