Quantitative analysis (5cr)

Evaluation scale

H-5

Objective

After completing this course, the doctoral researcher is able to:
- apply appropriate quantitative descriptive methods to their data
- identify the methodological background and intended uses of various statistical analysis methods
- carry out statistical analyses suited to their data and research questions
- interpret the results produced by statistical analysis methods
- assess the generalizability of their research findings
- select and produce statistical visualizations appropriate for their data and research questions

Execution methods

Teaching profile: ONLINE 1

Content

Descriptive methods for quantitative data, common statistical analysis methods (factor analysis, cluster analysis), basics of statistical visualization, statistical generalizability of results, and approaches to presenting research findings.

Location and time

Kurssin voi suorittaa milloin vain aikavälillä 1.9.2025 - 31.5.2026.

Materials

• Nummenmaa, L. Käyttäytymistieteiden tilastolliset menetelmät (2004).


• Nummenmaa, T., Konttinen, R., Kuusinen, J., Leskinen, E. Tutkimusaineiston analyysi (1997).


• Jokivuori, P., Hietala, R. Määrällisiä tarinoita. Monimuuttujamenetelmien käyttö ja tulkinta (2007).


• Warner, Rebecca M. 2013 Applied Statistics: From Bivariate Through Multivariate Techniques. SAGE.


• Töttö, Pertti 2004. Syvällistä ja pinnallista. Vastapaino.


• Töttö, Pertti 2012. Paljonko on paljon? Vastapaino. Kaidesoja & Kankainen & Ylikoski 2018. Syistä selityksiin. Kausaalisuus ja selittäminen yhtekuntatieteissä. Gaudeamus.


• Laaksonen ym. (toim.) 2013. Otteita verkosta. Verkon ja sosiaalisen median tutkimusmenetelmät. Vastapaino.

Teaching methods

Itseopiskelukurssi toteutetaan verkossa ja Moodlessa. Lisäksi on mahdollista saada henkilökohtaista ohjausta oman aineiston analyysiin.

Assessment criteria, approved/failed

Pass
The doctoral researcher is able to select and apply appropriate statistical analysis methods relevant to their data and research questions, and can justify their choices. They can present the results using suitable presentation formats and are able to interpret the outcomes produced by statistical analysis methods.

Fail
The doctoral researcher is unable to select or apply appropriate statistical analysis methods. They are unable to choose or implement suitable presentation formats, or the presentations are unclear or incorrect. The doctoral researcher is unable to interpret the results of the analysis or makes incorrect interpretations.