Bias and Information of Bayesian Adaptive Testing.

Abstract

The present study was designed to further investigate the nature of the bias and the information characteristics of Owen's Bayesian adaptive testing strategy and to examine possible causes of the bias. Factors investigated included (1) the effects of item discrimination, (2) the effects of fixed vs. variable test length, and (3) the effect of an accurate prior theta estimate. Monte carlo simulation of Owen's adaptive test was used.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1983
Accession Number
ADA129280

Entities

People

  • David J. Weiss
  • James R McBride

Organizations

  • University of Minnesota

Tags

Communities of Interest

  • Biomedical
  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Applied Psychology
  • Behavioral Sciences
  • Birds
  • Cognition
  • Computer Programs
  • Data Sets
  • Education
  • Educational Psychology
  • Human Factors Engineering
  • Military Research
  • Monte Carlo Method
  • Operations Research
  • Plastic Explosives
  • Psychology
  • Reliability
  • Test Methods

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  • Education

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Astronomy and Astrophysics.
  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference