AFQT Score Forecasting Models for Regional Estimation of Qualified Military Available
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Authors
Peterson, Jeffery M.
Subjects
Qualified Military Available
AFQT score estimation
high quality recruit market
AFQT score estimation
high quality recruit market
Advisors
Thomas, George W.
Gorman, Linda
Date of Issue
1990-06
Date
1990-06
Publisher
Monterey, CA; Naval Postgraduate School
Language
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, 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.
Type
Thesis
Description
Series/Report No
Department
Management
Organization
Identifiers
NPS Report Number
Sponsors
Funding
Format
vi, 45 p. ill.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.