Advanced Social Work Data Analysis

Catalog description

This course will provide an overview of Generalized Linear Modeling (binary and multinomial logistic regression models & Poisson and Negative binomial regression models & coefficient strength comparison), Structural Equation Modeling (path analysis, confirmatory factor analysis, model comparison, multi-group SEM, latent growth curve modeling, finite mixture models), Survival Analysis (Cox proportional hazard modeling & discrete-time modeling), Causal Inference and its application (Propensity Score and its application, such as difference-indifference model & single-group and multiple-group time interrupt series analysis). Students will apply these methods to their existing datasets and exploratory research in support of their doctoral studies. The emphasis of this class will be on longitudinal analysis and applied know-how.