Applied Multivariate Statistics (2026/2027: Semester 2 – Summer)

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Cursusdoel

After completing this course students are able to:
  1. understand various statistical analysis techniques such as linear and logistic regression, various ANOVA techniques, and data reduction techniques;
  2. conduct the corresponding statistical analyses using the software JASP;
  3. interpret JASP output;
  4. determine which statistical technique should be used for a specific research question/data collection method;
  5. report statistical results in APA-format

Relationship between tests and course goal
  1. Exam 1: this tests the knowledge and the understanding of statistical terminology and the ability to interpret and report JASP output covered in the first half of the course (course goals 1, 3, 4, and 5).
  2. Exam 2: this tests the knowledge and the understanding of statistical terminology and the ability to interpret and report JASP output covered in the second half of the course (course goals 1, 3, 4, and 5).
  3. Computing test: this tests the ability to conduct the analyses covered in the course using the software JASP (course goal 2).
  4. Project/HW: completion and participation in the project and assigned homework (course goals 1, 2, 3, 4, and 5).

Vakinhoudelijk

The content of this course overlaps with UCACCSTA21. Do not take both.
From Fall 2026 onward, this course replaces UCACCMET23 + module.

The subjects investigated by social scientists are rather complex; as a result, it is usually necessary to use many (‘multi’) variables to be able to give an adequate description of a subject. In the Multivariate statistical analysis techniques course, the theory and application of multivariate statistical models is discussed in depth.
In this course, the techniques that are dealt with include multiple regression analysis, mediation, moderation, logistic regression, ANOVA, ANCOVA, and repeated measures analysis, data reduction techniques, and reliability analysis are covered. These techniques are useful for a range of different research questions that are investigated in various branches of social sciences such as psychology, cognitive sciences, sociology, economics, human geography, criminology, and political sciences.

Fall and Spring semester format
For a period of 15 weeks, students and teachers meet twice a week for two hours. During the first meeting, the teachers introduce the topic of the week. Before the second meeting, the students have to practice with executing statistical analyses in JASP related to the topic of the week. During the second meeting, the students will conduct more elaborate analyses and write a report on the results. During the course, students will work on a research project in which they will learn how to apply the techniques covered in the course and report the results.

Summer term format
During the 5-week full-time summer period, students and teachers meet twice a day for two hours for three days a week.

For questions about the course, requirements and entrance tests, contact the course coordinator.

Werkvormen

UCU summer course

Toetsing

Project/HW

Verplicht | Weging 20% | ECTS 1,5

Exam 1

Verplicht | Weging 30% | ECTS 2,25

Exam 2

Verplicht | Weging 35% | ECTS 2,63

Computing test

Verplicht | Weging 15% | ECTS 1,13

Ingangseisen en voorkennis

Ingangseisen

Er moet voldaan zijn aan de cursus:

Voorkennis

Er is geen informatie over benodigde voorkennis bekend.

Voertalen

  • Engels

Competenties

  • Academisch schrijven
  • Onderzoeksvaardigheden

Cursusmomenten

Gerelateerde studies

Tentamens

Er is geen tentamenrooster beschikbaar voor deze cursus

Verplicht materiaal

  • BOEK
    TBA

Aanbevolen materiaal

Er is geen informatie over de aanbevolen literatuur bekend

Opmerkingen

From Fall 2026 onward, this course replaces UCACCMET23 + module. Counts towards SCC or HUM methodology.

Coördinator

dr. K.T. Silvester PhD k.t.silvester@uu.nl

Docenten

dr. K.M. Meitinger k.m.meitinger@uu.nl
dr. C. Salvatore c.salvatore@uu.nl

Inschrijving

Let op: deze cursus is niet toegankelijk voor studenten van andere faculteiten, bijvakkers mogen zich dus niet inschrijven.

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