University of Tennessee at Chattanooga
Exploring the use of non-cognitive factors in predicting college academic outcomes
Abstract
dc:description.abstractThe present study evaluated the incremental utility of a blended model of cognitive and non-cognitive variables versus a cognitive-only set of variables to predict academic success among new college students. Traditional cognitive predictors include high school grade point average and ACT scores. The non-cognitive factors of interest were grit, goal orientation, and academic self-efficacy. It was hypothesized that the blended model would demonstrate stronger predictive validity than cognitive predictors alone, grit would be associated with goal orientations and academic self-efficacy, and that academic self-efficacy would mediate the relationship between other non-cognitive predictors and academic success outcomes. The results from archival data (N = 8,742) and online survey collection (N = 624) suggest non-cognitive factors improve traditional prediction models, particularly through grit and academic self-efficacy. Self-efficacy also mediated the non-cognitive to academic success relationship. Higher Educational institutions could consider the implementation of blended models, using key non-cognitive predictors.
Degree
thesis:*- Grantor dc:publisher
- University of Tennessee at Chattanooga
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
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- Cooper, Ashley D.
- Contributors dc:contributor
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- Cunningham, Christopher J. L.
- O'Leary, Brian J.; Biderman, Michael D.; Elwell, J. Scott; Ainsworth, A. Jerald
- College of Arts and Sciences
Subjects
dc:subject × 3Rights
dc:rights- Language dc:language
- English, eng
Identifiers
dc:identifier.*- Repository record dc:identifier
- https://scholar.utc.edu/theses/117
- OAI identifier oai:identifier
- oai:scholar.utc.edu:theses-1116