Bayesian Analysis of Item Response Curves.

Abstract

Item response curves for a set of binary responses are studied from a bayesian viewpoint of estimating the item parameters. For the two-parameter logistic model with normally distributed ability, restricted bivariate beta priors are used to illustrate the computation of the posterior mode via the EM algorithm. The procedure is illustrated by data from a mathematics test. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1984
Accession Number
ADA145627

Entities

People

  • Hsuan-Yin Lin
  • R. K. Tsutakawa

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Behavioral Sciences
  • Biological Sciences
  • Cognition
  • Computations
  • Computer Science
  • Education
  • Educational Psychology
  • Factor Analysis
  • Mathematics
  • Military Research
  • Missouri
  • Probability
  • Psychology
  • Social Sciences
  • Standards
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Statistical inference.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference