Social Sciences
Course

Applied Multivariate Analysis

The summer course 'Applied Multivariate Analysis' offers hands-on experience using SPSS for the most frequently encountered multivariate statistical techniques in the social and behavioural sciences. The emphasis is on applying multivariate techniques using the computer programme SPSS, and on how to interpret the SPSS output in substantive terms. 

€715

Specifications

-
Course Level
Advanced Bachelor
ECTS credits
3 ECTS
Course location(s)
Utrecht, The Netherlands

Description

This course offers hands-on experience using SPSS for the most frequently encountered multivariate statistical techniques in the social and behavioural sciences. The emphasis is on applying multivariate techniques using the computer programme SPSS and on how to interpret SPSS 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 programme SPSS, and on how to interpret SPSS 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.

Target audience

Students with a BSc in Social and Behavioural Sciences who have only a basic 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 admitted to this course.

For an overview of all our summer courses offered by the Department of Methodology and Statistics please click here.

 

Aim of the course

This course offers hands-on experience using SPSS 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

Interpretation of SPSS output

Study load

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 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.

 

Costs

  • Course fee: €715.00
  • Included: Course + course materials
  • Housing fee: €450
  • Housing provider: Utrecht Summer School

 

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

 

Additional information

The housing costs include housing, plus a Utrecht Summer School sleeping bag, for you to keep. This sleeping bag also includes an inflatable pillow and matrass cover. If you wish to bring your own bedding, please contact us, so we can give you a € 50 discount on the housing fee. Please note that you cannot buy individual bedding items. 

Application

In your application could you please provide a brief description of:

1. your motivation for signing up for this course, and

2. your current knowledge of and experience with (multivariate) statistics (e.g. courses taken, software used).

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