Probability-Based Inference in a Domain of Proportional Reasoning Tasks

Abstract

Educators and psychologists are increasingly interested in modelling the processes and knowledge structures by which people learn and solve problems. Progress has been made in developing cognitive models in several domains, and in devising observational settings that provided clues about subject's cognition from this perspective. Less attention has been paid to procedures for inference or decision making with such information, given that it provides only imperfect information about cognition in short, test theory for cognitive assessment. This paper describes probability based inference in this context, and illustrates its application with an example concerning proportional reasoning.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1992
Accession Number
ADA247304

Entities

People

  • Anne Beland
  • Robert J. Mislevy

Organizations

  • Educational Testing Service

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Classification
  • Cognition
  • Cognitive Science
  • Computer Programs
  • Computer Science
  • Educational Psychology
  • Information Processing
  • Instructions
  • Military Research
  • New York
  • Psychology
  • Reasoning
  • Social Sciences
  • Statistical Inference
  • Students
  • United States

Readers

  • Psychological Intervention/Treatment for Stress, Anxiety, PTSD, and Related Emotional and Cognitive Health Symptoms.
  • Regression Analysis.
  • Theoretical Analysis.

Technology Areas

  • AI & ML