Kies de Nederlandse taal
Course module: 202000327
Data Analysis I
Course info
Course module202000327
Credits (ECTS)6
Course typeStudy Unit
Language of instructionEnglish
Contact personJ. van Straalen - Pas
dr. C.H.C. Drossaert
Lecturer G.J.A. Fox
J. van Straalen - Pas
Contactperson for the course
J. van Straalen - Pas
M.E. van der Velde
Academic year2021
Starting block
Application procedureYou apply via OSIRIS Student
Registration using OSIRISYes
At the end of the module:
  • Students are able to carry out simple and multiple regression analyses on a given data set using R for statistics
  • Students can interpret all standard output of simple regression and multiple regression using R for statistics (including ANOVA table and Parameter estimates table).
  • Students know how to code categorical variables into dummy variables and carry out and interpret F-tests.
  • Students are familiar with the basic concepts of inference: confidence intervals, standard errors, t-tests and F-tests, null hypothesis testing and p-values, and know the distinction between the sample data and the population that one wants to make inferences about.
  • Students know how to check the assumptions of linear regression and are able to use nonparametric alternatives in case assumptions are not met (Kruskal-Wallis, Spearman and Kendall).
  • Students know how to present data analysis results in a report following APA guidelines.

This Research Methods study unit is part of the module Social Behaviour (202000325). The study unit provides a foundation for an essential ingredient of conducting research: quantitative data analysis. It introduces the basic notions of inferential data analysis through a practice-oriented approach.
In this study unit students are introduced into the basic notions of data analysis that would allow them to make inferences about populations on the basis of a randomly sampled data set. The course uses the regression model as the basic skeleton and introduces confidence intervals, null-and-alternative hypotheses, t-tests, interactions, dummy variables, statistical power, and analysis of variance within the unifying linear model framework. In addition, it familiarizes students with the logic and implementation of non-parametric statistical analysis. The way in which these methods are to be performed are illustrated using research examples. The software used is R for statistics.

Module description
This study unit is part of the module Social Behaviour (202000325). A module is offered as one educational unity and students take it as such.
Module 2
Participating study
Bachelor Psychology
Required materials
Van den Berg, S.M. (2020) Analyzing data using linear models (will be online available for students for free).
Recommended materials
Instructional modes

Self study without assistance


Written test

Handing in assignments

Kies de Nederlandse taal