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Title: Forecasting High-Tech ASVAB Scores
Resulting in 1 citation.
1. Moreau, E. E.
Forecasting High-Tech ASVAB Scores
M.A. Thesis, Naval Postgraduate School - Monterey CA, 1992
Cohort(s): NLSY79
Publisher: UMI - University Microfilms, Bell and Howell Information and Learning
Keyword(s): Armed Forces Qualifications Test (AFQT); Armed Services Vocational Aptitude Battery (ASVAB); Labor Force Participation; Manpower Research; Military Recruitment; Military Service; Modeling; Program Participation/Evaluation; Urban and Regional Planning; Urbanization/Urban Living

Development of model for estimation of a high-tech market population is essential for determining an efficient allocation of recruiting resources. Using data from the National Longitudinal Survey of Youth (NLSY), regression equations are used 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, 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 calculations of nationwide, county-level, high-tech market distributions.
Bibliography Citation
Moreau, E. E. Forecasting High-Tech ASVAB Scores. M.A. Thesis, Naval Postgraduate School - Monterey CA, 1992.