On Inaccuracies in Owen's Approximation for the Bayesian Ability Estimate.

Abstract

In computerized adaptive testing, an examinee's ability is often estimated using Bayesian procedures. Its calculation is greatly simplified if one uses Owen's approximation. However, when the test length is moderate (e.g., 15 items), the accuracy of Owen's approximation is inadequate for calculating the examinee's score. This is illustrated using the nine power subtests in the Armed Services Vocational Aptitude Battery. The recommended procedure is to use Owen's approximation for adaptive items selection, and to compute the exact Bayesian estimate after the entire test has been administered. Keywords: Tables(data).

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1986
Accession Number
ADA175360

Entities

People

  • D. R. Divgi

Organizations

  • Center for Naval Analyses

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Accuracy
  • Classification
  • Data Sets
  • Department Of Defense
  • Errors
  • Marine Corps
  • Marine Corps Operations
  • Military Research
  • Normal Distribution
  • Procurement
  • Security
  • Standards
  • Virginia

Fields of Study

  • Education

Readers

  • Psychometric Testing or Psychological Assessment.
  • Regression Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms