5 August 2017
on course website
Data Analysis in R
With the increasing use of alternative software packages in data analysis, now is the time to learn their ins and outs. This course focuses on statistical models and learning to work with R. In addition to introducing the software to newcomers, it presents basic and more advanced statistics using an overarching framework of generalized linear modelling. We start with descriptive statistics before moving on to basic tests and simple regression. Students also learn how to analyse the multi-item scales which are often applied in survey research using exploratory and confirmatory factor analysis. We then introduce the generalized linear framework to analyse non-normally distributed variables and, lastly, multi-level modelling.
Students will work with R, conducting exercises that teach them how to analyse multi-item scales, analyse relationships among binary and interval variables, and apply generalized linear regression models. At the end of the two weeks students will be acquainted with various popular R packages, be able to write their own functions, and use attractive plots to present their data.
No programming experience required.
Dr. Meike Morren
Students of Economics, Social Sciences or any other field with an interest in quantitative data analysis using R. No programming experience is required. PhD students with a deficit in statistics or wishing to refresh their knowledge are also welcome.
You can evaluate the quality of quantitative data sources.
You can choose the appropriate method for an analysis, depending upon the data source.
You can conduct various statistical tests.
You can analyse data using generalized linear framework.
You know when to use latent variable modelling.
You have developed your programming skills.
Contact hours: 45
EUR 950: The tuition fee includes an airport pick-up service, welcome goodiebag, orientation programme, on-site support, 24/7 emergency assistance, and a transcript of records after completion of the course.
An early bird discount of €150 is available for students who apply before 15 March, and students from VU Amsterdam as well as from exchange partner universities will receive a €250 discount. You apply for the discount simply by indicating that you are currently a student at VU Amsterdam or at a partner university in the online application.
All courses include excursions. We will also organize trips and excursions as part of our social programme, which is a great way to get to know your fellow students and learn more about Amsterdam and the Netherlands. The social programme is not included in the tuition fee.
Furnished accommodation is available. Various housing options will be offered.
The Amsterdam Summer School offers ten scholarships that cover the full tuition fee of one course. Information about how to apply for the scholarship will be posted on the website.Register for this course
on course website