A Statistical Procedure for Assessing Test Dimensionality.

Abstract

An important problem in psychological test theory is the development of a sound method for determining whether a test which purports to measure the level of a certain ability is, in reality, significantly contaminated by one or more other abilities displayed by persons taking the test. Because of the large number of private and governmental organizations routinely using tests to screen people for the levels of various abilities, this problem of assessing the dimensionality of a test is of great importance. The solution will be useful in settings other than psychological testing, since the problem is one of general interest and should, hence, be an important addition to statistical methodology literature. Described in this paper is an approach to the problem of finding a theoretically sound and useful procedure for making inferences about the dimensionality of the ability parameter, or more precisely, the dimensionality of the distribution of the ability parameter.

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Document Details

Document Type
Technical Report
Publication Date
Mar 09, 1984
Accession Number
ADA142179

Entities

People

  • W. Stout

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Air Force
  • Applied Psychology
  • Behavioral Sciences
  • Biological Sciences
  • Cognition
  • Cognitive Science
  • Education
  • Educational Psychology
  • Marine Corps
  • Military Research
  • Personnel Management
  • Probability
  • Psychology
  • Random Variables
  • Social Sciences
  • Statistics
  • Two Dimensional

Readers

  • Neural Network Machine Learning.
  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms