Personnel Selection: An Application of the Unobtrusive Knowledge Test

Journal of Business and Behavioral Sciences, Vol. 16, No. 1, pp. 4-16, 2007

11 Pages Posted: 19 Jan 2011

See all articles by Daniel E. Martin

Daniel E. Martin

California State University, East Bay

Carol F. Moore

affiliation not provided to SSRN

Lloyd Sloan

Howard University

Peter J. Legree

affiliation not provided to SSRN

Date Written: January 12, 2011

Abstract

While employers recognize the utility, convenience, and efficiency of unproctored testing, implementing unproctored high-stakes tests (such as an Internet-administered intelligence test used for selection) face multiple hurdles. As the percentage of high-complexity jobs continue to increase in the United States, intelligence measures will continue to be in demand for personnel selection purposes. This study further established the validity of a general intelligence measure, the Unobtrusive Knowledge Test (UKT) in support of unproctored and Internet-based personnel employee selection. UKT performance was significantly correlated to an established personnel selection test, the Wonderlic Personnel Test (WPT), while being perceived as survey, though participants had been told otherwise. Implications are discussed.

Keywords: Intelligence, Personnel Selection, Testing, G, Psychometrics, Unobtrusive, Validity, Validation, Wonderlic, Knowledge, Unproctored

Suggested Citation

Martin, Daniel E. and Moore, Carol F. and Sloan, Lloyd and Legree, Peter J., Personnel Selection: An Application of the Unobtrusive Knowledge Test (January 12, 2011). Journal of Business and Behavioral Sciences, Vol. 16, No. 1, pp. 4-16, 2007, Available at SSRN: https://ssrn.com/abstract=1739396

Daniel E. Martin (Contact Author)

California State University, East Bay ( email )

25800 Carlos Bee Boulevard
Hayward, CA 94542
United States

HOME PAGE: http://www.csueastbay.edu

Carol F. Moore

affiliation not provided to SSRN

Lloyd Sloan

Howard University

2400 Sixth Street, NW
Washington, DC 20059
United States

Peter J. Legree

affiliation not provided to SSRN ( email )

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