Improving Intuitive Judgments BY Subjective Sensitivity Analysis

Abstract

Previous studies have concluded that when making inferences, people tend to ignore various kinds of normatively important information (e.g., samples sizes, base rates). The basis for such conclusions has typically been the similarity of responses across groups presented with widely discrepant values of that information. The experiments reported here convert earlier, between- subject designs to within-subject formats. Each subject made several judgments as one kind of information varied across a range of possible values. When information regarding base rates and predictive validity was varied, roughly two-thirds of the subjects changed their judgments in directions dictated by normative considerations. There were no appreciable shifts in response to changes in sample size. Apparently, people know (or can figure out) sonewhat more than what they have been given credit for in the past. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1978
Accession Number
ADA058998

Entities

People

  • Baruch Fischhoff
  • Paul Slovic
  • Sarah Lichtenstein

Tags

Communities of Interest

  • C4I
  • Human Systems

DTIC Thesaurus Topics

  • Applied Psychology
  • Behavioral Sciences
  • Biological Sciences
  • Engineering
  • Military Research
  • Operations Research
  • Political Science
  • Probability
  • Psychology
  • Schools
  • Social Psychology
  • Social Sciences
  • Students
  • Systems Engineering
  • Systems Management
  • United States Military Academy
  • War Colleges

Fields of Study

  • Psychology

Readers

  • Mathematics or Statistics
  • Regression Analysis.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference