Exploratory Methods of Multivariate Data Analysis

Bachelor´s degree
Basic knowledge of introductory statistics, basic skills of using R
Recommended prerequisite: COS-R405 Quantitative Research Skills

After completing the course, the student will master the skills of applying exploratory methods of multivariate data analysis, e.g., multidimensional scaling (MDS), cluster analysis, correspondence analysis, principal components analysis (PCA), and exploratory factor analysis (EFA).

Vehkalahti, Kimmo & Everitt, Brian S. (2019). Multivariate Analysis for the Behavioral Sciences, Second Edition (Chapters 12, 13, 14, 15, and 17).

1. Contact teaching. Active participation and weekly assignments.

Weekly assignments completed within the given schedule

RStudio, Moodle, weekly assignments, class discussions

COS students, other master's students (including exchange students), doctoral students, continuous learning (3 places)

III or IV

Please see the instructions on expiry of studies(Öppnas i en ny flik).

English

Course EQF level

Course EQF level 7