This study aimed to identify student characteristics (age, grade level, gender, race, students with disabilities [SWD], English Language Learners [ELL], socioeconomic status [SES], and enrollment period) and academic performance indicators (grade point average [GPA], Florida Standards Assessment [FSA] scale scores, and promotion status) that were potential predictors of course completers and non-completers in a K-11 virtual charter school. Multinomial and hierarchical multiple regression analyses determined the relationship between student characteristics, student performance indicators, and course completers and non-completers. Data analyses indicated age, enrollment period, promotion status, and GPA were predictive of course completion or noncompletion for all grade level bands. By identifying student indicators that may be predictive of course completers and course non-completers, an early warning system has the potential to support virtual schools in implementing appropriate interventions to increase the number of student course completers.
| Identifer | oai:union.ndltd.org:ucf.edu/oai:stars.library.ucf.edu:etd2020-2799 |
| Date | 15 August 2023 |
| Creators | McBroom, Mollie |
| Publisher | STARS |
| Source Sets | University of Central Florida |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Electronic Theses and Dissertations, 2020- |
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