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Comparing Optimal Individual and Collective Assessment Procedures

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Data Science and Classification

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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.

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References

  • BEN-YASHAR, R. and NITZAN, S. (2001): Investment Criteria in Single and Multi-Member Economic Organizations. Public Choice, 109, 1–13.

    Article  MathSciNet  Google Scholar 

  • LEHMANN, E.L. (2000): Testing Statistical Hypotheses. Macmillan, New York.

    Google Scholar 

  • LUCE, R.D. and RAIFFA, H. (1957): Games and Decisions. Wiley, New York.

    MATH  Google Scholar 

  • PETE, A., PATTIPATI, K.R. and KLEINMAN, D.L. (1993): Optimal Team and Individual Decision Rules in Uncertain Dichotomous Situations. Public Choice, 75, 205–230.

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Research Methodology, Measurement and Data Analysis, University of Twente, P.O. Box 217, 7500 AE, Enschede, the Netherlands

    Hans J. Vos

  2. Department of Economics, Bar-Ilan University, 52900, Ramat-Gan, Israel

    Ruth Ben-Yashar & Shmuel Nitzan

Authors
  1. Hans J. Vos
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  2. Ruth Ben-Yashar
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  3. Shmuel Nitzan
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Editor information

Editors and Affiliations

  1. Department of Mathematics, FMF, University of Ljubljana, Jadranska 19, 1000, Ljubljana, Slovenia

    Vladimir Batagelj

  2. Institute of Statistics, RWTH Aachen University, 52056, Aachen, Germany

    Hans-Hermann Bock

  3. Faculty of Social Sciences, University of Ljubljana, Kardeljeva pl. 5, 1000, Ljubljana, Slovenia

    Anuška Ferligoj  & Aleš Žiberna  & 

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© 2006 Springer-Verlag Berlin · Heidelberg

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Vos, H.J., Ben-Yashar, R., Nitzan, S. (2006). Comparing Optimal Individual and Collective Assessment Procedures. In: Batagelj, V., Bock, HH., Ferligoj, A., Žiberna, A. (eds) Data Science and Classification. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg . https://doi.org/10.1007/3-540-34416-0_13

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