The Variance of Rasch Ability Estimates from Partially-Known Item Parameters

Abstract

A closed-form approximation is given for the variance of examinee proficiency estimates in the Rasch model for dichotomous items, under the condition that only estimates, rather than true values, of item difficulty parameters are available. The term that must be added to the usual response- sampling variance is inversely proportional to both the number of examinees in the item calibration sample and the length of the test. Illustrative numerical values suggest that the impact of uncertainty about Rasch item parameters on subsequent estimates of examinee proficiencies is less than has been observed in the 2- and 3-parameter logistic IRT models. Cohen's approximation, Rasch model, variance components.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1992
Accession Number
ADA247065

Entities

People

  • Robert J. Mislevy

Organizations

  • Educational Testing Service

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Accuracy
  • Calibration
  • Classification
  • Cognitive Science
  • Computer Science
  • Contracts
  • Data Science
  • Education
  • Information Science
  • Measurement
  • Military Research
  • Normal Distribution
  • Probability
  • Psychology
  • Statistics
  • Uncertainty
  • United States

Fields of Study

  • Mathematics

Readers

  • Psychometric Testing or Psychological Assessment.
  • Statistical inference.