Implications of Realistic Utility Functions for Placement Using Aptitude-Treatment Interaction.

Abstract

When aptitude-treatment interactiorn (ATI) is used in placement decisions, it is generally assumed that a candidate should be placed in the treatment whose regression equation yields a higher predicted score. This can be justified using decision theory if utility functions are assumed linear and hence, unbounded. However, realistic utility functions ought to be bounded. Then the conventional placement rule is invalid. The optimum decisions depend o both the prediction equations and the utility functions. Therefore, the decision rule takes different forms in different situations. This is illustrated by assuming utilities to be proportional to normal distribution functions. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1980
Accession Number
ADA097459

Entities

People

  • D. R. Divgi

Organizations

  • University of Iowa

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Biological Sciences
  • Cognition
  • Decision Theory
  • Distribution Functions
  • Education
  • Educational Psychology
  • Human Resources
  • Military Research
  • New York
  • Normal Distribution
  • Personnel Management
  • Psychology
  • Schools
  • Social Sciences
  • Students
  • Training
  • United States

Readers

  • Calculus or Mathematical Analysis
  • Psychometric Testing or Psychological Assessment.
  • Regression Analysis.