Structural equation modeling : an investigation of self-regulated learning

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dc.contributor.advisor Finch, W. Holmes (William Holmes) Ascolani, Margaret R. 2021-02-23T14:32:10Z 2021-02-23T14:32:10Z 2020-12-19
dc.description.abstract The fields of science, technology, engineering, and math (STEM) experience elevated levels of attrition. The broad research agenda of this work aims to investigate these levels of attrition through the lens of self-regulated learning (SRL). Zimmerman’s (2000) SRL model was incorporated, consisting of three, interdependent phases: the forethought phase, performance phase, and self-reflection phase. The three phases were structured around a single task, a biology exam. Before the role of SRL model on academic performance could be assessed, a preliminary study was conducted. This preliminary study included two mediational models, a full and partial. The mediation models aimed to establish the functioning of the SRL model within a domain-specific sample. Results indicate that a fully mediated model did fit better, aligning with the literature. However, the model fit and differences between the two models was not significant enough to establish definitive results. en_US
dc.description.sponsorship Department of Educational Psychology
dc.subject.lcsh Self-managed learning -- Mathematical models
dc.subject.lcsh Structural equation modeling
dc.subject.lcsh Science students -- Psychology
dc.title Structural equation modeling : an investigation of self-regulated learning en_US
dc.type Research paper (M.S.), 3 hrs. Thesis (M.S.) en_US

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  • Research Papers [5100]
    Research papers submitted to the Graduate School by Ball State University master's degree candidates in partial fulfillment of degree requirements.

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