Statistical Models of Self-Efficacy in STEM Students

Persistence through undergraduate education may be explained by self-efficacy. It is the belief in one’s self to persevere through challenges. Bandura stated four areas that are thought to influence selfefficacy: mastery experience, social persuasion, vicarious experience, and physiological state. In this study, we focused on general and academic self-efficacy in STEM students, in the hopes of learning more about the relationships between Bandura’s categories, demographics, and self-efficacy. Data was taken from two institutions: one, a large research focused university, and the other, a smaller teaching focused university. In the first phase, surveys on general self-efficacy were taken at both institutions by 118 students. In the second, academic self-efficacy data was taken from 599 students. These surveys included questions concerning demographics, Bandura’s categories, and self-efficacy. Scores were summed for constructs relating to one of Bandura’s four categories. We used Cronbach’s alpha as a measure of internal reliability within each of the constructs. Correlation and linear regression analyses were used to study the data. Dummy variables for demographic data were created and used in the regression models. The best model found for general self-efficacy, including all phase 1 constructs and dummy variables, has an R value of 0.558. For academic self-efficacy, our best model includes all constructs and dummy variables and has an R value of 0.526. The goal of this work is to find factors that may potentially influence self-efficacy, in the hopes that they may be used in further research aimed at ensuring persistence of STEM students. 1 Painter: Statistical Models of Self-Efficacy in STEM Students Published by Cornerstone: A Collection of Scholarly and Creative Works for Minnesota State University, Mankato, 2012