AFQT Score Forecasting Models for Regional Estimation of Qualified Military Available

Abstract

Estimation of regional distributions of qualified military available (QMA) population is essential for determining an efficient allocation of recruiting resources. Estimates of regional mental ability distribution are required in order to estimate QMA. Using data from the Youth National Longitudinal Survey (NLSY), logit regression equations are used to estimate the probability that a 17 to 21 year old high school graduate will score above the 50th percentile on the Armed Forces Qualification Test (AFQT). This probability is modeled as a function of sociodemographic variables including gender, race/ethnicity, parent's education, poverty status, income, residence in an urban area and receipt of welfare payments. Best fit equations are developed in order to facilitate calculation of nationwide county level AFQT distributions.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1990
Accession Number
ADA232027

Entities

People

  • Jeffery M. Peterson

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Availability
  • Business Administration
  • California
  • Classification
  • Data Analysis
  • Enlisted Personnel
  • Ethnic Groups
  • Geographic Regions
  • Governments
  • Management Personnel
  • Organizational Structure
  • Probability
  • Psychology
  • Statistics
  • Students
  • United States
  • Urban Areas

Readers

  • Naval Personnel Management
  • Statistical inference.