Workshop: Introduction to Structural Equation Modeling in the Psychological Sciences

Structural Equation Modeling (SEM) combines common factor analysis with multiple regression to allow researchers to assess true score relations among constructs of theoretical interest. This workshop presents an overview of the logic, implementation, and interpretation of SEMs. Topics covered include: path analysis, confirmatory factor analysis, and structural regression analysis.--->PREREQUISITES: (1) a standard graduate course in linear regression analysis.
(2) Software packages used: lavaan (R) and Mplus.