Estimating unrestricted population parameters from restricted sample data in employment testing
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Estimating unrestricted population parameters from restricted sample data in employment testing
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1989
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Abstract
This study examined the accuracy of Alexander,
Alliger, and Hanges’ (1984) method for estimating unrestricted
univariate predictor means and variances
from sample data drawn from three populations in two
personnel selection contexts: (1) where there was direct
nonstrict truncation on the predictor, and (2)
where there was direct strict truncation on the predictor.
In addition, the accuracy of corrected (estimated
unrestricted) validity coefficients based on estimated
population predictor standard deviations was assessed
in the nonstrict truncation condition. In general, there
was inconsistency in the accuracy of the population
predictor mean and standard deviation estimates obtained
across the present datasets and conditions. Caution
is advised in the interpretation and reporting of
corrected validity coefficients in employment testing
based on estimated population predictor standard deviations.
Index terms: employment testing, personnel
selection, range restriction, true validity estimation,
unrestricted population parameters.
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Burke, Michael J, Normand, Jacques & Doran, Lucinda I. (1989). Estimating unrestricted population parameters from restricted sample data in employment testing. Applied Psychological Measurement, 13, 161-166. doi:10.1177/014662168901300206
Suggested citation
Burke, Michael J.; Normand, Jacques; Doran, Lucinda. (1989). Estimating unrestricted population parameters from restricted sample data in employment testing. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/107227.
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