A Cross-Study Analysis of Covariation Judgments.

Abstract

Literature on covariation judgments has suggested that such judgments are effected by task, data, and subject characteristics. However, as a general rule, research studies have been confined to only one or two situations or sets of traits. In this paper data from several studies are pooled in order to mitigate the effects of specific characteristics, and a lens model analysis is done. It is found that subject achievement is high in the covariation task as opposed to tasks used in other lens model studies. However, subjects did not use all of the available information to the extent specified in the statistical covariation model. The normativeness of this model is questioned. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1982
Accession Number
ADA136989

Entities

People

  • M. G. Lipe

Organizations

  • University of Chicago

Tags

Communities of Interest

  • Biomedical
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Applied Psychology
  • Behavioral Sciences
  • Biological Sciences
  • Biomedical Research
  • Computer Science
  • Engineering
  • Human Factors Engineering
  • Industrial Engineering
  • Information Science
  • Jet Propulsion
  • Judgment
  • Military Research
  • Navy
  • Psychology
  • Statistics
  • Systems Engineering

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  • Circadian Sleep-Wake Regulation and Chronobiology
  • Regression Analysis.
  • Theoretical Analysis.