A compensatory approach to optimal selection with mastery scores

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Linden, Wim J. van der and Vos, Hans J. (1996) A compensatory approach to optimal selection with mastery scores. Psychometrika, 61 (1). pp. 155-172. ISSN 0033-3123

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Abstract:A Bayesian approach for simultaneous optimization of test-based decisions is presented using the example of a selection decision for a treatment followed by a mastery decision. A distinction is made between weak and strong rules where, as opposed to strong rules, weak rules use prior test scores as collateral data. Conditions for monotonicity of optimal weak and strong rules are presented. It is shown that under mild conditions on the test score distributions and utility functions, weak rules are always compensatory by nature.
Item Type:Article
Copyright:© 1996 The Psychometric Society
Faculty:
Behavioural Sciences (BS)
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Link to this item:http://purl.utwente.nl/publications/60230
Official URL:http://dx.doi.org/10.1007/BF02296964
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