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Multivariate Analysis: from Data to Report


Admission Requirements

Only students enrolled in the bachelor’s programme CADS may participate in this course. To participate in this course, students must:

1) Have finished fieldwork for the course Fieldwork NL
2) Have passed the following courses from the propaedeutic phase:
Social Sciences Research in Practice, Statistics in Practice, Academic Writing and (Re)Presentation, Data Management/Ethics in Contemporary Ethnographic Research, Academic Discourse

Language of Instruction

Lectures are given in English.
Examination (assignments and written exam): English and Dutch.

Course Description

This course provides an introduction to the analysis of multivariate data, in particular nominal and/or ordinal data. It includes exercises in analysing data using the SPSS modules for Multiple Categorical Analysis (MCA) and Categorical Principal Components Analysis (CATPCA).
In this course students will also work on the analysis of data they will collect during the Fieldwork NL course.

Course Objectives

  1. Insight into methods and techniques for multivariate analysis. In particular: (a) being able to explain what multivariate analysis entails; (b) being able to explain for a given research question and collected data which of the discussed techniques can be used for analysis.

  2. Gaining experience with the practice of multivariate analysis, including by using one or more techniques for analysing data. Note: we do not expect students to have become seasoned researchers by the end of the course. That takes years of experience!


The lecture schedule can be found on the website.

Practicals take place at dates and times t.b.a.; classification per practical group is made during the first lecture - registration for these groups via uSis is not necessary.

Mode of Instruction

Total 5 ECTS = 140 study hours (sbu):

  • Lectures: 14 × 3 hours = 42 hours * 1,5 = 63 sbu

  • Practicals: 7 × 2 hours = 14 hours = 14 sbu (attendance mandatory)

  • Literature (ca. 370 pages) = 63 sbu

Assessment Method

  • Written exam

  • Mandatory participation in practicals. Attendance at practicals will be checked.

  • Written analysis report, on the basis of assignments during the course

Note: students must both pass the examination and submit a satisfactory written report of their analysis.

Only the final mark will be registered in uSis and tests may be re-taken if results are inadequate (grade 5 or lower).


Registration in uSis is mandatory for the lectures and all (partial) examinations and possibly the re-sit. On the website on course registration you will find the registration periods and further information about the procedure.

Mandatory registration in uSis for every exam can be done up to 11 calendar days prior to the examination read more.
For the Practicals registration in uSis not required: students will be assigned and informed in the first lecture.


Brightspace is the digital learning environment of Leiden University. Brightspace gives access to course announcements and electronic study material. Assignments will also be submitted in Brightspace. Announcements about and changes to courses are given in Brightspace. Students are advised to check Brightspace daily to keep informed about rooms, schedules, deadlines, and details of assignments. Lecturers assume that all students read information posted on Brightspace.

  • How to login

The homepage for Brightspace is: Brightspace

Please log in with your ULCN-account and personal password. On the left you will see an overview of My Courses.

For access to courses in Brightspace students must be registered for those courses in uSis.

Course Literature

Field, Andy 2018 Discovering Statistics Using SPSS (fifth edition). London: SAGE Publications.

Articles from electronic journals and encyclopaedias are available through Leiden University’s digital library. These will be announced on Brightspace.


Dr. Igor Boog