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Lin, Jien-Jou – ProQuest LLC, 2013
Every year a group of graduates from high schools enter the engineering programs across this country with remarkable academic record. However, as reported in numerous studies, the number of students switching out of engineering majors continues to be an important issue. Previous studies have suggested various factors as predictors for student…
Descriptors: Success, Prediction, Predictive Measurement, Predictive Validity
Peer reviewedPerry, Ronald F.; Rumpf, David L. – Research in Higher Education, 1984
The collection and analysis of survey data directed toward eliciting those characteristics of the institution, applicant, and applicant's family which affect the matriculation decision are reported. Ways in which the results may influence recruiting activities so that limited resources may yield more matriculants are provided. (Author/MLW)
Descriptors: College Admission, College Applicants, Discriminant Analysis, Higher Education
Toms, John G.; Brewer, James K. – Rehabilitation Literature, 1971
Presented and applied to a sample of 239 vocational rehabilitation clients is a discrete multivariate classification procedure for predicting vocational rehabilitation outcomes using several background characteristic combinations. Several cost-of-misclassification functions are proposed. (Author/KW)
Descriptors: Disabilities, Discriminant Analysis, Prediction, Predictive Measurement
Lunneborg, Clifford E. – 1971
A Bayesian prediction strategy is outlined in which antecedent measures are divided into two subgroups. One subgroup is used to discriminate among criterion groups, the second to provide normal linear predictions for each group. Individualized regression constants are subsequently obtained by computing probabilities of group membership from the…
Descriptors: Academic Achievement, Achievement Tests, Aptitude Tests, Bayesian Statistics

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