Introduction to Multivariate Statistics 2023H

FEK course banner

Welcome!

This is an introductory course for doctoral students with minimal statistical background. This 7.5 point course is meant to give students a basic understanding for a range of quantitative statistical techniques. The basics of data, such as measurement level, normality, outliers, and missing data will be discussed, and then some of the more widely used analysis techniques will be demonstrated. The students will get hands-on experience through simple practical exercises using SPSS software. From their laptops they can access the SPSS software within the building. The goal is for students to understand the potential for these techniques as well as interpret results.

Topics:

Introduction to multivariate techniques.
Examining your data.
Exploratory factor analysis.
Multiple regression.
Discriminant analysis.
Logistic regression.
Analysis of variance.
Cluster analysis.
Confirmatory factor analysis (LISREL).

Language: I will teach the course in English, although students are welcome to speak and write in Swedish.

Evaluation: Term paper (in English or Swedish) – discussion and statistical analysis of supplied data or the student’s own data.

Navigation Tips

The left-side navigation menu includes a "Modules" button, which acts as a gateway to learning content and other helpful resources.

Below are quick links to the Course Overview with a syllabus and a course guide including a literature list and a schedule, Content (Modules) and Contact information, etc. Later you will be able to find the schedule and the course evaluation under these buttons as well.