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Educational and Psychological Measurement
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A New Method for the Statistical Control of Rating Error in Performance Ratings

Brendan D. Bannister

Human Resources Group Northeastern University, Boston

Angelo J. Kinicki

Department of Management, Arizona State University, Tempe

Angelo S. Denisi

Department of Management, University of South Carolina, Columbia

Peter W. Hom

Department of Management, Arizona State University, Tempe

Research on the statistical control of rating error is reviewed. It is shown that current approaches have been criticized on operational grounds. A new approach for statistically controlling rater errors is proposed that avoids problems inherent in past research by using an index of rater error that is theoretically independent of actual performance. Results indicated that partialing out the effects of this extraneous response bias from performance ratings enhanced discriminant validity and slightly attenuated convergent validity (relative to the uncontrolled analysis). In contrast, partialing out overall effectiveness led to substantial reductions in both convergent and discriminant validities.

Educational and Psychological Measurement, Vol. 47, No. 3, 583-596 (1987)
DOI: 10.1177/001316448704700305


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[Abstract]