The course is connected to the following study programs

Recommended prerequisites

EX-602 Philosophy of Science

Course 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)

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

Examination requirements

Participation in compulsory lectures as stated in the course pamphlet.

Teaching 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.

Assessment methods and criteria

Individual 14-days home examination. The examination will be assessed as pass/fail.

Last updated from FS (Common Student System) July 1, 2024 5:30:20 AM