Applied Multivariate Analysis

Course code
S04
Course fee (excl. housing)
Price
€600
Course Level
Advanced Bachelor
Variations
This course is closed and you can't apply anymore. Please check our other courses.

Note: this course is almost fully booked and therefore we only accept applications from UU students who need to take this course to be accepted for an UU-FSBS master. Other applicants will be placed on a waiting list.

 

The summer school 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. During the course, we do not discuss the mathematical details of these techniques.

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. We do not discuss the mathematical details of these techniques.

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, and on how to interpret SPSS output in substantive terms. We do NOT discuss the mathematical details of these techniques.

We use the book by Andy Field (2018) Discovering statistics using IBM SPSS, London: Sage (fifth edition). This book is not included in the course materials. The book should be purchased in advance (ISBN 978-1-5264-1951-4 / ISBN 978-1-5264-1952-1 (pbk).

Participants are requested to bring their own laptop computer. Software will be available online

Please note that there is always the possibility that we have to change the course pending COVID19-related developments. The exact details, including a day-to-day program, will be communicated 6 weeks prior to the start of the course.

Download the day-to-day programme (PDF)
Course director
Dr. Dave Hessen

Target audience

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.

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.

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

Study load

The course covers 2 whole weeks, Monday - Friday. Every day starts with a discussion meeting, followed by a lecture. The afternoon is spent in the lab doing SPSS analyses.

Please note that there are no graded activities included in this course. Therefore, we are not able to provide students with a transcript of grades. You will obtain a certificate upon completion of this course.

Costs

Course fee:
Price
€600
Included:
Fee covers
Course + course materials
Housing fee:
Housing cost
350
Housing provider:
Utrecht Summer School
Extra information about the fee

You can choose between two options for participating in this course, but please note that there is always the possibility that we have to change the course pending COVID19-related developments: 

  1.  If you choose the livestream option, you will get a discount on the course fee since we will not provide lunch then. The lectures will be broadcasted in Central European Summer Time via a livestream (not recorded). Participants can ask questions via the chat which will be moderated by a second lecturer who will either directly answer your questions via the chat or ask your questions to the first lecturer during class. You will also receive online support during the group computer labs from our team. Additionally, Q&A sessions will be organised so you will benefit from our normal high level expertise while enjoying the class from the comfort of your own chair.
  2. If you choose the campus option, you will be able to attend the lectures and computer labs at our campus. Of course, we will follow all COVID19-guidelines that hold at the time of the start of your course. We will keep you updated about the newest developments (see also https://www.uu.nl/en/information-coronavirus).

Update: The campus option for this course is fully booked.

If you are interested in the campus option, let us know via a message in the application form under ‘Student Comment’. You will be placed on the waitinglist.

The physical course costs €620, but if you participate via the livestream you will get a 20 euro discount.

Tuition fee for PhD students from the Faculty of Social and Behavioural Sciences from Utrecht University will be funded by the Graduate School of Social and Behavioural Sciences.

There are no scholarships available for this course.

Application

Extra application information

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).

More information

Irma Reyersen | E: ms.summerschool@uu.nl

For frequently asked questions about how we organize our summer school courses during the pandemic, please click here

Registration

Application deadline: 
Registration deadline
02 August 2021