AFQT Score Forecasting Models for Regional Estimation of Qualified Military Available
Peterson, Jeffery M.
Thomas, George W.
Thomas, George W.
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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, raceethnicity, 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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