Applied Multivariate Statistics

Bekijk rooster Print deze pagina

Cursusdoel

After completing this course students are able to:
  1. determine which statistical technique should be used to investigate different types of research questions;
  2. conduct the corresponding statistical analyses using the software JASP;
  3. interpret JASP output;
  4. report statistical findings following the APA format.

Relationship between tests and course goals
In this course, students are assessed 4 times :
  1. Written in-class 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 5 weeks of the course (course goals 1, 3, and 4).
  2. Written in-class 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 5 weeks of the course (course goals 1, 3, and 4).
  3. Computing test: this tests the ability to conduct the analyses covered in the course using the software JASP (course goal 2).
  4. Participation/HW: completion of the assigned homework and participation in the in-class assignments (course goals 2, 3, and 4).

Vakinhoudelijk

The content of this course overlaps with UCACCMET23/UCACCSTA21. Do not take both.

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. The techniques that are dealt with include multiple regression analysis, mediation, moderation, logistic regression, AN(C)OVA, MAN(C)OVA, and repeated measures analysis. These models can be used to investigate the relations among many variables simultaneously, and thus provide an accurate description of the subject of interest.


Format

During the summer period, students and teachers meet twice a day for two hours for three days a week. During the first meeting, the teachers introduce a new topic. Before the second meeting, students have to practice with executing statistical analyses in JASP. During the second meeting, the students will conduct more elaborate analyses and write a report on the results. The results of these analyses will be discussed by the students and the instructor during the second half of the meeting.
For questions about the course, requirements and entrance tests, contact the course coordinator dr. Kirsten Namesnik.

Werkvormen

UCU summer course

Toetsing

Participation/HW part 1

Verplicht | Weging 5% | ECTS 0,38

Participation/HW part 2

Verplicht | Weging 5% | ECTS 0,38

Exam 1

Verplicht | Weging 35% | ECTS 2,63

Exam 2

Verplicht | Weging 35% | ECTS 2,63

Computing test

Verplicht | Weging 20% | ECTS 1,5

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

Materiaal Omschrijving
BOEK TBA

Aanbevolen materiaal

Er is geen informatie over de aanbevolen literatuur bekend

Opmerkingen

This is the summer course version of UCACCMET23 + module. Counts towards SCC or HUM methodology.

Coördinator

dr. K.T. Namesnik PhD K.T.Namesnik@uu.nl

Docenten

K.M. Meitinger k.m.meitinger@uu.nl
dr. M. Shafiee Kamalabad m.shafieekamalabad@uu.nl

Inschrijving

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

Naar OSIRIS-inschrijvingen
Permanente link naar de cursuspagina
Laat in de Cursus-Catalogus zien