Data Collection via a Quasi-Experimental Simulation Technology. III. Factor Structure and Validity

Abstract

The number of measures that are collected from participants in the quasi-experimental simulation technology have continued to increase as the technology has continued to be developed. With as many as 60 separate measures now available, it has become important to determine where commonalities among the measures might exist. The present report explores those commonalities via a factor analysis of scores obtained by more than 100 lower level managers who participated in the simulations. In an evaluation of assessment validity, the present report correlates performance scores and factor scores with sociographic indicators of success(age relevant income and job level, etc.) and, finally, employs multiple stepwise regression procedures to select both the theoretical concepts and the simulation based measures that are optimal predictors of managerial achievement.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1986
Accession Number
ADA173913

Entities

People

  • Mary A. Repman
  • Mary T. Piasecki
  • Robert W. Swezey
  • Rosanne M. Pogash
  • Siegfried Streufert

Organizations

  • Penn State Milton S. Hershey Medical Center

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Applied Psychology
  • Commonality
  • Employment
  • Factor Analysis
  • Human Factors Engineering
  • Information Processing
  • Information Science
  • Management Personnel
  • Military Research
  • New York
  • Organizational Structure
  • Personnel Management
  • Psychology
  • Regression Analysis
  • Simulations
  • Social Sciences
  • Training

Readers

  • Instructional Design and Training Evaluation.
  • Organizational Psychology.
  • Regression Analysis.