Refinements of Stout's Procedure for Assessing Latent Trait Unidimensionality

Abstract

This paper provides a detailed investigation of Stout's statistical procedure (the computer program DIMTEST) for testing the hypothesis that an essentially unidimensional latent trait model fits observed binary item response data from a psychological test. One finding was that DIMTEST may fail to perform as desired in the presence of guessing when coupled with many high-discriminating items. A revision of DIMTEST is proposed to overcome this limitation. Also, an automatic approach is devised to determine the size of the assessment subtests. Further, an adjustment is made on the estimated standard error of the statistic on which DIMTEST depends. These three refinements have led to an improved procedure that is shown in simulation studies to adhere closely to the nominal level of significance while achieving considerably greater power. Finally, DIMTEST is validated on a selection of real data sets.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1992
Accession Number
ADA255772

Entities

People

  • Ratna Nandakumar
  • William Stout

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Applied Psychology
  • Cognitive Science
  • Data Science
  • Data Sets
  • Education
  • Educational Psychology
  • Factor Analysis
  • Information Science
  • Knowledge Management
  • Mathematics
  • Monte Carlo Method
  • Psychological Tests
  • Psychology
  • Statistical Algorithms
  • Statistics
  • Two Dimensional

Readers

  • Computational Modeling and Simulation
  • Psychometric Testing or Psychological Assessment.
  • Regression Analysis.