Calibration of an Item Pool for the Adaptive Measurement of Achievement.

Abstract

The applicability of item characteristic curve (ICC) theory to a multiple-choice test item pool used to measure achievement is described. The rationale for attempting to use ICC theory in an achievement framework is summarized, and the adequacy for adaptive testing of a classroom achievement test item pool in a college biology class is studied. Using criteria usually applied to ability measurement item pools, the item difficulties and discriminations in this achievement test pool were found to be similar to those used in adaptive testing pools for ability testing. Studies of the dimensionality of the pool indicate that it is primarily unidimensional. Analysis of the item parameters of items administered to two different samples reveals the possibility of a deviation from invariance in the discrimination parameter but a high degree of invariance for the difficulty parameter. The pool as a whole, as well as two subpools, is judged to be adequate for use in adaptive testing. It is also concluded that the ICC model is not inappropriate for application to typical college classroom achievement tests similar to the one studied. (Author)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1977
Accession Number
ADA044828

Entities

People

  • David J. Weiss
  • G. Gage Kingsbury
  • Isaac I. Bejar

Organizations

  • University of Minnesota

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Accuracy
  • Achievement Tests
  • Civilian Personnel
  • Computer Programs
  • Computers
  • Data Sets
  • Databases
  • Education
  • Factor Analysis
  • Human Factors Engineering
  • Measurement
  • Military Research
  • New York
  • Psychology
  • Social Sciences
  • Students
  • Training

Fields of Study

  • Education

Readers

  • Psychometric Testing or Psychological Assessment.
  • Theoretical Analysis.