The Computerized Adaptive Screening Test (CAST): An Examination of Test Validity and Test Fairness

Abstract

The Computerized Adaptive Screening Test (CAST) is used by Army recruiters to predict prospective applicants' (i.e., prospects') performance on the Armed Forces Qualification Test (AFQT). CAST performance data were collected from 60 recruiting stations across the country throughout calendar year 1985. These data were matched to applicant tapes from Military Entrance Processing Stations (MEPS) to obtain AFQT scores and relevant demographic information. Data analyses indicate that CAST is quite good at predicting AFQT scores for the entire sample and for examinees grouped by sex and race (black or white). When corrected for restriction in range, the cross-validated validity estimate based on the whole sample is .86. Race and sex differences in prediction exist, but these differences are minor and they correspond to those differences found with most cognitive ability tests. CAST's accuracy at predicting subsequent classification into important AFQT categories (i.e., 1-3A and 1-3B) is also discussed.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1987
Accession Number
ADA186999

Entities

People

  • Deirdre J. Knapp
  • Rebecca M. Pliske
  • Timothy W. Elig

Organizations

  • U.S. Army Research Institute for the Behavioral and Social Sciences

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Accuracy
  • Chi Square Test
  • Data Analysis
  • Data Science
  • Databases
  • Enlisted Personnel
  • Ethnic Groups
  • Information Science
  • Military Research
  • Recruiting
  • Regression Analysis
  • Social Sciences
  • Standards
  • Statistical Analysis
  • Statistical Tests
  • Students
  • Training

Readers

  • Naval Personnel Management
  • Psychometric Testing or Psychological Assessment.