Information Loss Caused by Noise in Models for Dichotomous Items.

Abstract

Because of the recent popularity of the three-parameter logistic model among the researchers who apply latent trait theory, it will be worthwhile to investigate the effect of noise accommodate in different models. In this paper, four types of models on the dichotomous response level, Types A, B, C and D, are considered. Type A does not include noise, and the other three types do. Observations are made as to how much total item information is lost because of the noise, how the item response information functions are affected, how the speed of convergence to the normality of the conditional distribution of the maximum likelihood estimate of ability, given a specific ability level, is affected, and so forth. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Nov 29, 1982
Accession Number
ADA131369

Entities

People

  • Fumiko Samejima

Organizations

  • University of Tennessee system

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Asymptotic Normality
  • Contrast
  • Convergence
  • Data Science
  • Discrimination
  • Equations
  • Frequency
  • Information Science
  • Instructions
  • Intervals
  • Models
  • Normal Distribution
  • Normality
  • Observation
  • Square Roots
  • Tennessee
  • United States

Readers

  • Auditory Neuroscience/Auditory Physiology.
  • Psychometric Testing or Psychological Assessment.
  • Regression Analysis.