My PhD Journey at St. Louis University

This 3‑credit graduate course offers a unified approach to applying linear statistical models within biomedical and health services research contexts. Students learn both theoretical foundations and practical applications of the General Linear Model (GLM), covering topics such as simple and multiple linear regression, Pearson’s and nonparametric correlation, analysis of variance (ANOVA), and logistic regression. (Yeah, I have no idea what any of those terms mean...this will be a long semester.)

A required 3‑credit doctoral course aimed at equipping social work PhD students with the capacity to develop and synthesize theory. The curriculum explores major historical currents in the philosophy of science that underpin contemporary scientific research and highlights emerging, transdisciplinary scientific ideas. Students complete a culminating theoretical synthesis paper intended for peer‑reviewed publication. (I have a slightly better comprehension of these concepts...)

This required 3‑credit doctoral‑level course introduces graduate students to essential quantitative skills, methods, and techniques for scientific inquiry in the social and behavioral sciences. Emphasis is placed on the vocabulary of scientific thinking and research, as well as data collection, presentation, and analytical interpretation. Students receive instruction using STATA, focusing on data entry, manipulation, basic analysis, and interpretation of results. (Well, back to more stuff I am clueless about. My brain already hurts.)