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 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 principal component analysis.
In this course the emphasis is on applying multivariate techniques using SPSS or R, and on how to interpret the output in substantive terms. Mathematical details are not discussed.
Participants need to bring their own laptop. Software will be available online.
Dr. Dave Hessen
Students with a BSc in Social and Behavioural Sciences who have 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, and t-test . Some experience with SPSS or R is advisable. A maximum of 48 participants will be allowed to participate in this course.
There are no restrictions on who can participate beyond the prerequisites; academics, researchers, and professional participants are all welcome to register for the course.
For an overview of all our summer courses offered by the Department of Methodology and Statistics please click here.
We also offer tailor-made M&S courses and in-house M&S training. If you want to look at the possibilities, please contact Dr. Laurence Frank at pe.dsai@uu.nl.
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.
This course has the following fee options, depending on your status:
Please make sure to include which price is applicable when registering for this course. This information can be added in the “Comment” field during the registration process.
For PhD students from the FSBS at UU:
As a PhD student from the Faculty of Social and Behavioural Sciences (FSBS) at Utrecht University, you can attend up to three Winter or Summer School courses funded by the Graduate School of Social and Behavioural Sciences. Of course, you may choose to take as many other courses as you wish at your own expense, using your personal budget.
When registering, please indicate in the “Comment” field that you are a PhD candidate from the FSBS at UU, so that the course fee can be waived.
There are no scholarships available for this course.
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.