Course description

Quantitative Research Methods: Multivariate Statistics

Course content

Module 1

  • Regression analysis (OLS and 2SLS)
  • Logistic Regression/Probit Regression
  • ​Analysis of Variance

Module 2

  • Censored Regression
  • ​Multivariate Regression
  • EFA (Exploratory factor analysis)

Module 3

  • CFA (Confirmatory factor analysis)
  • SEM (Structural Equation Modeling)
  • Multigroup Analysis
  • ​Analysis of Logitudinal Data

Learning outcome knowledge

The aim of the course is to give the students training in areas of advanced multivariate statistics, by teaching them some of the most popular computer based methods applied in social science statistics. The course will also focus on basic statistical theory as well as on critical use of statistics in research. There will also be discussions and presentations of some of the latest research within parametric methods and non-normality.
 

Exam organisation

  • Written assignment: 100%