Syllabus
1. Introduction to MPlus. Syntax of MPlus. Descriptive statistics and correlation analysis in MPlus.
2. Linear regression model and it’s assumptions. Model fit, possible modification of regression model. (1st HW)
3. Logistic regression for binary, ordinal and multinomial dependent variable. Comparison of models, selection of the best model. (2nd HW)
4. Censored data and survival analysis.
5. Introduction to latent variable models. Basic equations and graphical presentation.
6. Latent class analysis. (3rd HW)
7. Latent growth model for longitudinal data.
8. Confirmatory factor analysis for continous, ordinal and binary indicators. Scale development, model fit indexes and criterias. (4th HW)
9. Introduction to structural equation modelling. Examples of models for sociological research.
Annotation
The main goal of this course is to teach students about multivariate stastical techniques. Course combines theoretical part and practical seminars in computer lab (software Mplus is used).