Estimation of Two-Parameter Logistic Item Response Curves.

Abstract

This paper presents a method for estimating certain characteristics of test items which are designed to measure ability, or knowledge, in a particular area. Under the assumption that ability parameters are sampled from a normal distribution, the EM algorithm is used to derive maximum likelihood estimates of item parameters of the two-parameter logistic item response curves. The observed information matrix is used to approximate the covariances of these estimates. Responses to a questionnaire on general arthritis knowledge are used to illustrate the procedure and simulated data are used to compare the actual versus estimated items parameters. A computational note is included to facilitate the extensive numerical work required to implement the procedure. (Author)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1983
Accession Number
ADA137223

Entities

People

  • R. K. Tsutakawa

Tags

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Applied Psychology
  • Computations
  • Education
  • Educational Psychology
  • Human Resources
  • Maximum Likelihood Estimation
  • Military Research
  • Normal Distribution
  • Personnel Management
  • Probability
  • Psychology
  • Simulations
  • Social Sciences
  • Standards
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Approximation Theory.
  • Life Cycle Cost Analysis
  • Psychometric Testing or Psychological Assessment.