Students may pursue a Minor in Quantitative Psychology by completing two additional advanced analytic electives in addition to the standard program requirements of Biostatistics I, Quantitative Methods II, Multivariate Analysis and an advanced analytic elective, for a total of six statistics courses. Students must complete courses with a grade of at least B-.
PSY 5939 Introduction to SEM for Psychological Research: This course is an introduction to structural equation models as applied to problems in the social sciences, broadly defined. The major purpose of the course is to familiarize you with the technique of structural equation modeling and to provide you with working knowledge of AMOS and MPLUS, computer programs designed to execute the analysis of a broad class of structural equation models. We consider numerous advanced topics, described below. The goal of the course is to expose students to a variety of analytical techniques so that they may become proficient in using SEM analyses to answer individual research questions.
PSY 5939/PHC 6056 Longitudinal Data Analysis: This course covers topics related to statistical analysis of longitudinal data, focusing on methods used in the social sciences and health research. Topics build on a basic ANOVA and regression (general linear model) framework and include ANCOVA, mediation, multilevel modeling of longitudinal data, and latent growth modeling. Students will be able to analyze, interpret, and write up results using these methods.
PSY 5939 Categorical Data Analysis: This course covers topics related to statistical analysis of categorical outcome variables, focusing on methods used in the social sciences. Topics include chi-square and other non-parametric methods for categorical outcomes, the generalized linear model (GLiM, including logistic regression, Poisson regression, and survival analysis), and repeated measures extensions of GLiM (such as GEE and generalized linear mixed models). Students will analyze, interpret, and write up results using these methods.
PHC 6062 Systematic Review & Meta-Analysis: This course is designed to train students in the conduct of a systematic literature review and developing the skills critical for evidence-based clinical and public health practice. This course will provide a detailed description of systematic review process and will combine didactic sessions with in-class laboratory sessions. Students will be provided step-by-step guidance on how to perform a systematic review and meta-analysis. They will be expected to apply all the tools taught in the class to a topic of their choosing. The final deliverable for the course will be a systematic literature review with/without meta-analysis.