NURS 648 Introduction to Structural Equation Modeling

Credits: 3
In this advanced course on quantitative methods and analysis, students will build on earlier statistics courses by developing a conceptual understanding of the structural equation modeling framework from both a frequentist and Bayesian perspective. Students will develop skills in interpreting and fitting a range of SEM’s including path analysis, confirmatory factor analysis, and models that include both structural and measurement components. Special topics will include modeling longitudinal data, handling missing data, and conducting power analysis with the Monte Carlo capabilities of Mplus. Students will receive instruction and practice using Mplus software to achieve these goals. The link between quantitative research methodologies and statistical strategies will be emphasized.

Graded: A-F
May be taken only once for credit