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Scarfone, Melissa Delores – ProQuest LLC, 2013
The purpose of this study was to investigate if there are differences in how cognitive and noncognitive variables predict academic performance for college students with learning disabilities. In particular, this study examined the extent to which the cognitive variables of high school grade point average and SAT (combined verbal and math) or ACT…
Descriptors: Predictor Variables, Cognitive Ability, Cognitive Processes, Academic Achievement
Peer reviewed Peer reviewed
White, Timothy J.; Sedlacek, William E. – Journal of College Admissions, 1986
Utilized a set of noncognitive variables, as measured by the Noncognitive Questionnaire (NCQ), to predict the grade point average (GPA) and retention of specially admitted college students. Results indicated the NCQ can predict the GPA and retention status of these students. Successful leadership and positive self-concept were the most useful…
Descriptors: Academic Achievement, College Students, Grade Point Average, High Risk Students
Peer reviewed Peer reviewed
Ting, Siu-Man Raymond; Robinson, Tracy L. – Journal of College Student Development, 1998
Explores academic performance of Caucasian and African-American college freshmen (N=2,600) in a Southeastern public research university. Four cognitive and 30 psychosocial and demographic variables were used to predict the students' GPA and retention. Findings reveal cognitive and psychosocial variables for predicting student success. (Author/MKA)
Descriptors: Academic Achievement, Black Students, Cognitive Processes, College Freshmen
Woods, Paula A.; Sedlacek, William E. – 1988
To supplement previous reliability and validity studies concerning the Noncognitive Questionnaire (NCQ), new NCQ items were written and assessed in relation to the original eight NCQ scales. The NCQ measures eight non-traditional or non-cognitive variables that relate to minority student retention--positive self-concept, realistic self-appraisal,…
Descriptors: College Freshmen, Construct Validity, Coping, Factor Analysis