MFHD 605

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Structural Equation Modeling in Social Sciences

Family Life College of Family, Home, and Social Sciences

Course Description

Basic tools in structural equation modeling (SEM), including confirmatory factor analysis (CFA), latent variables, and combining CFA with regression. Applications of SEM to (a) multiple groups, (b) dichotomous and count outcomes, and (c) longitudinal or repeated measures.

When Taught

Fall

Credit Hours

Min

Fixed/Max

Lecture Hours

Fixed

Lab Hours

Fixed

Other Prerequisites

Stat 511 or equivalent.

Learning Outcomes

Title

Structural Equation Modeling in Social Sciences

Learning Outcome

Students will be able to estimate basic SEM models with their own data and to navigate at least 2 SEM software programs. Students will be able to understand basic regression and factor analysis functions within an SEM framework. Students will be able to interpret output from AMOS (or Stata or R) and Mplus programs, and write up these results in a manner acceptable by professional journals.