Forecasting high-tech ASVAB scores
Moreau, Ellen E.
Thomas, George W.
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The development of a model for estimation of a high-tech market population will help determine an efficient allocation of recruiting resources. Using data from the National Longitudinal Survey of Youth (NLSY), regression equations were developed to estimate the probability that a 17 to 21 year old high school graduate will score high enough on the Armed Services Vocational Aptitude Battery (ASVAB) to be classified into a high-tech rating. This probability is modeled as a function of sociodemographic variables including gender, race/ethnicity, parents' education, poverty status, income, residence in an urban area, and receipt of welfare payments. The results should facilitate calculations of nationwide, county-level, high-tech market distributions.
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