Optimal cutoff points in single and multiple tests for psychological and educational decision making

Ruth Ben-Yashar, Shmuel Nitzan, Hendrik J. Vos

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This paper compares the determination of optimal cutoff points for single and multiple tests in the field of personnel selection. Decisional skills of predictor tests composing the multiple test are assumed to be endogenous variables that depend on the cutting points to be set. The main result specifies the condition that determines the relationship between the optimal cutoff points for single and multiple tests, given the number of predictor tests, the collective decision rule (aggregation procedure of predictor tests recommendations) applied, and the function relating the tests decisional skills to the cutoff point. The implications of the main result are developed for special types of collective decision rules such as disjunctive and conjunctive rules. The proposed group decision-making method is illustrated by an empirical example of selecting trainees for a large company by means of the assessment center method. How the predictor cutoffs and the collective decision rule are determined dependently by maximizing the multiple tests common expected utility is shown. The analysis suggests that centralized decision-making systems can improve their performance by changing the cutoff points determined separately for each screening predictor. Two appendixes present two theorems for decision making.
Original languageEnglish
Place of PublicationEnschede
PublisherUniversity of Twente
Number of pages32
Publication statusPublished - 2001

Publication series

NameOMD research report
PublisherUniversity of Twente, Faculty of Educational Science and Technology


  • METIS-209496
  • Educational Testing
  • Prediction
  • Personnel Selection
  • Test Use
  • Cutting Scores
  • Decision Making
  • Psychological Testing
  • IR-104124


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