Table of contents

The course is connected to the following study programs

Recommended previous knowledge

EX-602 Philosophy of Science

Learning outcomes

On successful completion of the course, the candidate has:

Knowledge about

  • different types of recruitment procedures and randomization types
  • the assumptions of basic statistical analysis including simple linear regression analysis
  • strengths and limitations with respect to different quantitative research designs

Skills

  • can plan, conduct and evaluate different types of recruitment procedures and randomization types
  • can present descriptive statistics
  • can plan, conduct, interpret and evaluate results from basic statistical analysis including simple linear regression analysis

General competence

  • have an overview of different types of study designs and can independently plan, analyze, and interpret own and others results from basic statistical analysis

Contents

  • Research designs
  • Population and research sample
  • Descriptive statistics; central tendency and dispersion tendency, level of measurements, statistical distributions
  • Comparison of two or more groups (t-tests (independent samples and paired samples), One-way ANOVA, Mann-Whitney, Kruskal-Wallis, Wilcoxon signed rank test, Chi-Square)
  • Association between variables (Pearson´s correlation coefficient, Spearman rank correlations, simple linear regression)

Teaching and learning methods

Lectures combined with practical statistical exercises in a computer lab. Examples of analysis of data may be connected to the faculty’s on-going or planned research projects.

Examination requirements

Participation in compulsory lectures as stated in the course pamphlet.

Examinations

Individual 14-days home examination. The examination will be assessed as pass/fail.
Last updated from FS (Felles studentsystem) Oct. 15, 2026 10:25:25 AM