Exploiting Collateral Information in the Estimation of Item Parameters

Abstract

When using item response theory (IRT) models in educational and psychological measurement, it is standard practice to estimate the operating characteristics of test items from examinees' item responses alone. This is the final report of a project that employed Bayesian and empirical Bayesian methods to exploit additional information that is often available about test items (e.g. , format, content, or cognitive processing requirements) or about examinees (e. g., educational background or demographic status). Practical and theoretical results obtained in a series of research reports are summarized.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1988
Accession Number
ADA200867

Entities

People

  • Robert J. Mislevy

Organizations

  • Educational Testing Service

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Bayes Theorem
  • Bayesian Inference
  • Cognition
  • Cognitive Science
  • Education
  • Educational Psychology
  • Governments
  • Military Research
  • Personnel Management
  • Probability
  • Psychology
  • Security
  • Standards
  • Statistics
  • Students
  • United States
  • United States Government

Readers

  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Psychometric Testing or Psychological Assessment.
  • Statistical inference.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference