On Campus

Multivariate Data Analysis

Provided by: NHH
(EQF level: 8)

This course covers statistical methods essential for social science research. Participants will learn to select, execute, and interpret analyses from basic hypothesis testing to structural equation modeling. We will learn and practice several types of analyses, including hypothesis testing, power analysis, regression models, factor analysis, advanced analysis and structural equation modeling.

The teaching consists of lectures, pen-and-paper quizzes, and software exercises.

The assessment will be based on an individual term paper. Students will work on a set of datasets, conduct analyses, and write results sections. Students will have three months to submit the term paper from the last day of the course.

Visit our website for more information (see course details).

  • Spring 2026

    Course start date 2026-03-02
    Course end date 2026-03-06
    Language English
    Credits 5 (ECTS)
    Grading scheme: Excellent A / Very Good B / Good C / Satisfactory D / Sufficient E / Fail F