Developing Measures and Predictors of Observation and Inference Abilities

Abstract

The two general problems attacked in this study were the development of observation and inference measures and stimulus settings, and the identification of predictors of these skills which could be used for efficient personnel selection procedures. The specific objectives developed from these problems led to the creation of two stimulus settings, film and small group interpersonnel, and measures of observation and inference in each. This was followed by attempts to locate significant predictors of these skills. These attempts were marginally successful in that they led to the identification of femaleness, insurance occupation, practicality and suspiciousness (as measured in the 16PF), intelligence, cognitive complexity (in the direction opposite that which was predicted), certain dimensions of personality as measured by the PAS, and several other variables which were statistically significant predictors. However, the magnitude of the relationships was not as large as desired and, with the exception of sex, there did not seem to be a factor which is a universal pred(Author)

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1976
Accession Number
ADA102572

Entities

People

  • Marsha J. Michaels
  • Myron A. Rimm
  • Richard D. Rosenblatt
  • Richard J. Orend
  • Stephanie J. Cormier

Organizations

  • Human Resources Research Organization

Tags

Communities of Interest

  • Biomedical
  • C4I

DTIC Thesaurus Topics

  • Cognitive Complexity
  • Construction
  • Data Analysis
  • Data Science
  • Information Processing
  • Information Science
  • Observation
  • Observers
  • Personality
  • Personality Assessment
  • Personnel Management
  • Plastic Explosives
  • Psychology
  • Regression Analysis
  • Security
  • Social Psychology
  • Statistics

Fields of Study

  • Psychology

Readers

  • Artificial Intelligence
  • Psychological Intervention/Treatment for Stress, Anxiety, PTSD, and Related Emotional and Cognitive Health Symptoms.
  • Systems Analysis and Design

Technology Areas

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