Predicting STEM degree outcomes based on eighth grade data and standard test scores

Journal of Engineering Education

Volumn 99, Issue 3, 2010, Pages 209-223

  Nicholls, Gillian M ^a   Wolfe, Harvey ^a   Besterfield Sacre, Mary ^a   Shuman, Larry J ^a  

^a UNIVERSITY OF ALABAMA IN HUNTSVILLE   (United States)

Author keywords

Integrated logistic regression modeling; NELS:88 longitudinal study; STEM persistence

Indexed keywords

EDUCATION; EDUCATION COMPUTING; ENGINEERING EDUCATION; FORECASTING; REGRESSION ANALYSIS; STUDENTS;

ACADEMIC PERFORMANCE; INTEGRATED LOGISTIC REGRESSION MODELING; LOGISTIC REGRESSION MODELING; NELS:88 LONGITUDINAL STUDIES; PREDICTIVE VARIABLES; RECEIVER OPERATING CHARACTERISTICS CURVES (ROC); STATISTICAL TECHNIQUES; STEM PERSISTENCES;

STEM (SCIENCE, TECHNOLOGY, ENGINEERING AND MATHEMATICS);

EID: 77954647315     PISSN: 10694730     EISSN: None     Source Type: Journal    
DOI: 10.1002/j.2168-9830.2010.tb01057.x     Document Type: Article

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