Simulation Studies of Two-Stage Ability Testing.

Abstract

Monte Carlo simulation procedures were used to study the psychometric characteristics of two two-stage adaptive tests and a conventional 'peaked' ability test. Results showed that scores yielded by both two-stage tests better reflected the normal distribution of underlying ability. Ability estimates yielded by one of the two stage tests were more reliable and had a slightly higher relationship to underlying ability than did the conventional test scores. Several improvements in the construction of two-stage tests are suggested for use in further research.

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1974
Accession Number
ADA001230

Entities

People

  • David J. Weiss
  • Nancy E. Betz

Organizations

  • University of Minnesota

Tags

DTIC Thesaurus Topics

  • Construction
  • Data Science
  • Human Factors Engineering
  • Information Science
  • Interdisciplinary Science
  • Mathematics
  • Monte Carlo Method
  • Normal Distribution
  • Simulations

Fields of Study

  • Psychology

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Instructional Design and Training Evaluation.
  • Mathematics or Statistics