Icke-parametriska analyser tillämpade på skogsforsknings data om sociala aspekter
Kursbeskrivning
Researchers often have to analyse information that comes in a quantifiable but non-scalar form, or that may violate assumptions of a normal distribution that prevent commonly-used parametric inferences.
This course reviews and discusses the opportunities and limitations of using non-parametric methods to analyse ordinal, categorical and non-normally distributed data. Specific non-parametric tests will be discussed with active doctoral student engagement. Expectations include in-course active participation, an oral presentation and a report where non-parametric analyses are used and their findings interpreted.
Kursfakta
P000196, Icke-parametriska analyser tillämpade på skogsforsknings data om sociala aspekter, 3.0 Hp
Skriv ut kursplan
Kursplan
Fastställd av: Magnus Rudolfsson, 2026-10-22
Giltig från och med :
Nivå
Forskarnivå
Ämne
Tillämpad ekonomi
Betygsskala
Engradig skala
Kraven för kursens olika betygsgrader framgår av betygskriterier, som ska finnas tillgängliga senast vid kursstart.
Kursspråk
Engelska
Behörighetskrav
Mål
On completion of the course, the student will be able to:
- *Describe research question**s *and data when non-parametric analyses are preferred to parametric options
- Enumerate select examples of tests suitable for non-parametric analyses
- Interpret and critically evaluate results and draw reasonable conclusions
- Clearly and concisely communicate results and conclusions.
Innehåll
The course is carried out with lectures, student-centred analyses and presentations. The course provides an introduction to non-parametric data and analyses, with a motivation for situations where data may exist in quantifiable but non-scalar form, or that may violate assumptions of a normal distribution that prevent parametric inferences. Specific tests (e.g., Mann-Whitney, Wilcoxon signed-rank, Kruskal-Wallis test) will be discussed for their correct application. Doctoral level knowledge on the use of specific non-parametric statistics and their interpretation is gained via engaged discussions, and their applications with specific data and interpretation of findings. Sustainable development and gender equality perspectives are discussed via reflections regarding findings and how results can inform actions towards improved sustainable and equality conditions. Students are encouraged to bring their own data but the instructor will provide datasets if needed.
Examinationsformer
*Approved written report and oral presentation. *
Ansvarig institution eller motsvarande
Institutionen för skoglig bioekonomi och teknologi
Kompletterande uppgifter
Övrig information
This course is jointly organized by the Faculty of Forest Sciences