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Hefford, Nigel A.; Keef, Stephen P. – Journal of Educational Computing Research, 2004
This analysis of gender performance differences in a first-level New Zealand university course in computer science is predicated on the model of academic ability proposed by Charles Spearman, the eminent educational psychologist and statistician. The regression model is based on the theoretical constructs of general academic ability and specific…
Descriptors: Foreign Countries, Academic Ability, Multiple Regression Analysis, Evaluation Methods
Ewing, Maureen; Camara, Wayne J.; Millsap, Roger E. – College Board, 2006
The purpose of this study is to reexamine the relationship between PSAT/NMSQT scores and AP Examination grades using more recent test data in order to obtain additional validation evidence for using the PSAT/NMSQT to identify AP students. PSAT/NMSQT data from October 2000 and October 2001 and AP data from May 2002 and May 2003 were analyzed. The…
Descriptors: Correlation, Scores, College Entrance Examinations, High School Students
Camara, Wayne J.; Millsap, Roger – College Entrance Examination Board, 1998
This study reports that student performance on the PSAT/NMSQT can be useful in identifying additional students who may be successful in Advanced Placement Program (AP) courses. PSAT/NMSQT scores can identify students who may not have been initially considered for an AP course through teacher nomination, self-nomination, or other local procedures.…
Descriptors: High School Students, College Entrance Examinations, Grades (Scholastic), Advanced Placement Programs
Barone, Sandra; Steiner, Matt; Teszler, Natali – TG (Texas Guaranteed Student Loan Corporation), 2005
This study examines the default behavior of 5,177 undergraduate student borrowers who attended Texas A&M University--Kingsville (TAMUK) and entered repayment of their TG-guaranteed Federal Family Education Loan Program (FFELP) loans between October 1, 1998 and September 30, 2002 (fiscal years 1999-2002). Using the Department of Education's…
Descriptors: Multivariate Analysis, Student Loan Programs, Loan Default, Undergraduate Students