CCJ 521 Advanced Regression in Criminology & Criminal Justice
An applied approach designed to give you a comprehensive overview of the analysis of criminal justice data using some of the most commonly used regression techniques utilized by criminology and criminal justice researchers. This course introduces a number of useful statistical models that move beyond standard linear regression. Among the topics covered are logit and probit models for both binary and ordinal dependent variables, event count models, mixed models including HLM and panel models, factor analysis, and structural equation modeling in the context of CCJ data.