Applied Multivariate Analysis

Course code
S04
Course fee (excl. housing)
€600.00
Level
Advanced Bachelor
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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).

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.

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.

Course aim

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:
€600.00
Included:
Course + course materials
Housing fee:
€350.00

Housing through: Utrecht Summer School.

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). Note that, at the moment, it is unclear how many participants will be allowed in our lecture rooms. Therefore, if you register for the campus option, we will also register you for the livestream option such that you are guaranteed a spot via the livestream option (and at first, send an invoice for this option only). We will put you ‘on hold’ for the campus option until we have more information about how many participants are allowed in our lecture rooms. As soon as we hear from the university, we will contact you and send you a second invoice for the part of the fee related to catering and campus registration.

If you are interested in the campus option, let us know via a message in the application form under ‘Student Comment’.

The physical course costs €620, but if you participate via the livestream you will get a 20 euro discount. Note that if you choose the campus option, you will be asked to first pay the livestream-fee (€600) and, when we have permission from the university to actually organise classes on location, we will send a second invoice for the remainder of the fee. This way, you will be ensured to have at least a spot for the livestream.

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.

Scholarships

There are no scholarships available for this course.

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).

More information

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

Registration

Application deadline: 02 August 2021

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