Applied Multivariate Analysis

Course code
S04
Course fee (excl. housing)
Price
€620
Course Level
Advanced Bachelor

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.

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 90 participants will be allowed to participate in this course.

Students who need this course to be accepted for a (FSS) master of Utrecht University will be given priority until July 15 2022.

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
€620
Included:
Fee covers
Course + course materials
Housing fee:
Housing cost
350
Housing provider:
Utrecht Summer School
Extra information about the fee

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

Registration

Application deadline: 
Registration deadline
01 August 2022