Structural Equation Modeling
This module with introduce the ideas of structural equation modelling and its relationship to other current statistical models. Specifically, regression analysis, path analysis, confirmatory factor analysis will be formulated within the general framework of structural equation modelling. Advanced topics, such as ordinal data analysis, missing data, multiple-group analysis and latent growth models, will also be covered. After the course, students are expected to know how to conduct the analysis and interpret the results themselves.
Modular Credits: 4
Workload: 0-3-0-5-2
Pre-requisite(s): PL2101Y/PL2131, PL2132 and PL5221, or consent of instructor
Preclusion(s): Nil
Cross-listing(s): Nil
Workload Components: A-B-C-D-E
A: no. of lecture hours per week
B: no. of tutorial/seminar hours per week
C: no. of lab hours per week
D: no. of hours for projects, assignments, fieldwork etc. per week
E: no. of hours for preparatory work by a student per week