Psychometric Developments Related to Tests and Selection

Abstract

Recent theoretical developments in the areas of latent variable modeling, random coefficient modeling, multilevel modeling, missing data theory, and empirical Bayes estimation provide interesting research opportunities for the psychometric modeling of the relationship between job performance and test performance. These developments suggest new approaches to the assessment of predictive validity of tests as well as to problems of selection and assignment. The purpose of the project is to use these theories as a basis for developing new psychometric methods that have the potential for better understanding the predictive validity of tests like the ASVAB and improving the selection and assignment of recruits for military jobs.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1993
Accession Number
ADA280416

Entities

People

  • Bengt O. Muthen

Organizations

  • University of California, Los Angeles

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Coefficients
  • Composite Materials
  • Covariance
  • Data Science
  • Data Sets
  • Education
  • Enlisted Personnel
  • Equations
  • Estimators
  • Information Science
  • Manpower
  • Mathematics
  • Military Research
  • Regression Analysis
  • Statistical Analysis
  • Statistics
  • Training

Fields of Study

  • Psychology

Readers

  • Computational Modeling and Simulation
  • Psychometric Testing or Psychological Assessment.
  • Statistical inference.