Bias Function of the Maximum Likelihood Estimate of Ability for Discrete Item Responses.

Abstract

The paper is concerned with the bias of the maximum likelihood estimate as a function of the latent trait, or ability, for the general case in which item responses are discrete. The rationale is presented, and observations are made with respect to the effects of the test information function, the item parameters, the number of items, the transformation of the latent variable, etc., on the amount of bias. Keywords: Mathematical models, Scale transformation. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jun 16, 1987
Accession Number
ADA183811

Entities

People

  • Fumiko Samejima

Organizations

  • University of Tennessee

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Asymptotic Normality
  • Bias
  • Comprehension
  • Discrimination
  • Equations
  • Intervals
  • Mathematical Models
  • Method Of Moments
  • Military Research
  • Models
  • Numbers
  • Observation
  • Polynomials
  • Square Roots
  • Students
  • Tennessee
  • United States

Fields of Study

  • Education
  • Mathematics

Readers

  • Psychometric Testing or Psychological Assessment.
  • Regression Analysis.