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Full-Text Articles in Statistical Models
Inferences In Log-Rate Models, Herbert C. Heien, William A. Baumann
Inferences In Log-Rate Models, Herbert C. Heien, William A. Baumann
Journal of Undergraduate Research at Minnesota State University, Mankato
Log-Rate models are used in analyzing rates of individuals who are exposed to a risk of having a certain characteristic. The explanatory variables could be categorical or in a continuous scale. In finding a Log-Rate Model, parameters are estimated and goodness-of-fit are studied to carefully extract the best model to fit our data. Here we revisit three aspects of Log-Rate Models using the data set give at the end of the paper. The three aspects are parameter estimation, goodness-of-fit of the model, and marginal effect of the factors.
Statistical Models Of Self-Efficacy In Stem Students, Sarah Painter
Statistical Models Of Self-Efficacy In Stem Students, Sarah Painter
Journal of Undergraduate Research at Minnesota State University, Mankato
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 self-efficacy: 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 …