Information Functions for General Model Developed for Differential Strategies in Cognitive Processes.

Abstract

One of the main objectives of this research project is to 'bridge' psychometrics with cognitive psychology through the advancement of latent trait theory. With the rapid progress of microcomputers in the past decade and accompanied decreases in their cost, many scientific investigations which were considered practically impossible in the past are now within our reach. Thus in many areas of cognitive psychology, where researchers used to conduct their research using relatively small samples of subjects, we can plan our research on a much larger scale. Time is coming, therefore, that latent trait theory will find its way to contribute to the progress of cognitive psychology. Some cognitive psychologists, who have tried to approach psychometric theories, say that they do not provide them with theories and methods with which they can deal with differential strategies. They are not exactly right, however. As early as in the late nineteen-sixties, the heterogeneous case of the graded response level in the context of latent trait theory was proposed as a model for cognitive processes. Some useful hints for differential strategies are also seen under the title 'Multi-correct and multi-incorrect responses.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1983
Accession Number
ADA194287

Entities

People

  • Fumiko Samejima

Organizations

  • University of Tennessee system

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Classification
  • Cognition
  • Distribution Functions
  • Mathematical Models
  • Maximum Likelihood Estimation
  • Military Research
  • Models
  • Numbers
  • Plastic Explosives
  • Psychology
  • Real Numbers
  • Security
  • Symmetry
  • United States
  • United States Government

Fields of Study

  • Psychology

Readers

  • Organizational Psychology.
  • Systems Analysis and Design

Technology Areas

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