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

The Journal of applied psychology

Kuncel NR, Klieger DM, Connelly BS, Ones DS.
PMID: 24041118
J Appl Psychol. 2013 Nov;98(6):1060-72. doi: 10.1037/a0034156. Epub 2013 Sep 16.

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...

Application patterns when applicants know the odds: implications for selection research and practice.

The Journal of applied psychology

Kuncel NR, Klieger DM.
PMID: 17371103
J Appl Psychol. 2007 Mar;92(2):586-93. doi: 10.1037/0021-9010.92.2.586.

Unlike previous research that found small differences between population standard deviations and applicant pool standard deviations (P. R. Sackett & D. J. Ostgaard, 1994; D. S. Ones & C. Viswesvaran, 2003), this study revealed a 23% disparity between Law...

Asking differently about race and ethnnicity: New needs for a changing population.

Klieger, D.M., Alders, R., Ezzo, C..

Now is an opportune time to consider new ways to ask registrants for the GREĀ® General Test about their race and ethnicity. Growth in the percentage of Americans who identify as multiracial suggests the possibility that a sizeable percentage...

Automated analysis of text in graduate school recommendations.

Heilman, M., Breyer, F.J., Williams, F., Klieger, D., Flor, M..

Graduate school recommendations are an important part of admissions in higher education, and natural language processing may be able to provide objective and consistent analyses of recommendation texts to complement readings by faculty and admissions staff. However, these sorts...

Showing 1 to 4 of 4 entries