Comparing Optimal Individual and Collective Assessment Procedures

Abstract

This paper focuses on the comparison between the optimal cutoff points set on single and multiple tests in predictor-based assessment, that is, assessing applicants as either suitable or unsuitable for a job. Our main result specifies the condition that determines the number of predictor tests, the collective assessment rule (aggregation procedure of predictor tests' recommendations) and the function relating the tests' assessment skills to the predictor cutoff points.