Designing a Statistical Plan for Measuring Self-Efficacy Using a 2k Factorial Design​

Authors

Rachel A. Hart, Ursinus CollegeFollow
Eugene H. Thompson, Ursinus CollegeFollow

Document Type

Paper

Publication Date

4-23-2025

Faculty Mentor

Hugo Montesinos-Yufa

Abstract

This study focuses on designing a statistical plan that measures the effects of self-efficacy using a 2k factorial design. Specifically, we simulated data on physical, mental, spiritual, and social health, so we could focus on their interaction with self-efficacy. By using ANOVA to see the main and interaction effects, we can see the impact of individual autonomy on health. Our findings show the need for experimental data on the demographic of interest, peri-and post-menopausal women.

Comments

Presented as part of the Ursinus College Celebration of Student Achievement (CoSA) held April 23, 2025.

The downloadable file is PowerPoint poster.

Recommended Citation

Hart, Rachel A. and Thompson, Eugene H., "Designing a Statistical Plan for Measuring Self-Efficacy Using a 2k Factorial Design​" (2025). Mathematics and Computer Science Presentations. 11.
https://digitalcommons.ursinus.edu/math_comp_pres/11