The summer course 'Applied Multivariate Analysis' offers hands-on experience using SPSS or R for the most frequently encountered multivariate statistical techniques in the social and behavioural sciences.
The emphasis is on applying multivariate techniques using the computer program SPSS or R and on how to interpret the output in substantive terms.
Many research questions in the social and behavioural sciences are investigated using statistical models. We offer a crash course in applied multivariate analysis in which we focus on simple and factorial ANOVA, interaction effects, repeated measures ANOVA, ANCOVA, MANOVA, MANCOVA, multiple linear regression analysis (including the use of dummy variables), logistic regression analysis, and exploratory factor analysis.
In this course the emphasis is on applying multivariate techniques using the computer program SPSS or R, and on how to interpret the output in substantive terms. We do NOT discuss the mathematical details of these techniques.
Participants need to bring their own laptop computer. Software will be available online.
Dr. Dave Hessen
Students with a BSc in Social and Behavioural Sciences who have only an introductory knowledge of statistics. Students should be familiar with the following concepts: null hypothesis, alternative hypothesis, population, sample, statistical significance, practical and theoretical significance, correlation, regression, t-test and ANOVA. Some experience with SPSS is advisable. A maximum of 75 participants will be allowed to participate in this course.
For an overview of all our summer courses offered by the Department of Methodology and Statistics please click here.
This course offers hands-on experience using SPSS or R for the most frequently encountered multivariate statistical techniques in the social and behavioural sciences.
Learning goals:
- Selection of appropriate statistical procedures
- Execution of statistical procedures using SPSS or R
- Interpretation of SPSS or R output
The course duration is two whole weeks, Monday to Friday. Every day starts with a discussion meeting, followed by a lecture. The afternoon is spent in the lab doing SPSS or R analyses.
You will receive a certificate upon course completion. Please be aware that this course does not include graded activities, and therefore we cannot provide a transcript of grades.
PhD students from the Faculty of Social and Behavioural Sciences at Utrecht University have the opportunity to attend three Winter/Summer School courses funded by the Graduate School of Social and Behavioural Sciences. Additionally, they may choose to take as many courses as they wish at their own expense from their personal budget.
There are no scholarships available for this course.
We also offer tailor-made M&S courses and in-house M&S training. If you want to check out the possibilities, please contact us at ms.summerschool@uu.nl
The housing costs do not include a Utrecht Summer School sleeping bag. This is a separate product on the invoice. If you wish to bring your own bedding, please deselect or remove the sleeping bag from your order.
Signing up for the course without knowledge of the basic statistical concepts such as null hypothesis, alternative hypothesis, population, sample, statistical significance, effect size, correlation, regression, t-test and ANOVA, is discouraged and at own risk.