Full course description
In Statistics II, we continue our quantitative journey to realms of even greater adventure. Statistics I has shown you that statistics need not be intimidating; that many can master it – and enjoy doing so. With the foundations of inferential statistics under your belt (confidence intervals, p-values and the like), as well as an arsenal of different tests, things are about to get bigger and better. This course will prepare you to tackle even more questions in social and life sciences that call for quantitative answers. The key distinction, which sounds far less exciting than it really is, is that it’s time for ‘models with more variables’.
After refreshing the different t-tests (one sample, independent and paired), we shall discuss one- and two-way ANOVA. After that, two weeks will be devoted to regression analysis. Simple regression will come to pass again, but we will soon expand it with dummy variables and then to multiple regression (with more than one independent variable). The last part of the course will introduce you to repeated measures ANOVA (RANOVA for short), which remains a staple in research in the social sciences. But don’t mistake all these technical terms for a series of bone-dry discussions. Statistics deserves to be colourful and exciting, so prepare yourself for a course full of relatable and relevant stories. If Statistics I did not yet make you fall in love with a field you never knew you liked, our mission is to finally steal your heart away this time.
Just like before, learning statistics is all about interacting with it. Throughout the six course modules, you will solve a myriad of assignments that will help you grow – and trust – your quantitative intuition. You will learn how you can make statistical software do your bidding, and apply your understanding of mathematical models to make sense of the world around you… more than ever. Who wouldn’t want to take part in that? Now is your chance – again. We hope to see you back in class!
To expand the quantitative mindset you developed in SSC2061 Statistics I.
To further develop the abilities to think critically about data, as well as scientific articles that are grounded in quantitative techniques.
To gain experience in actively performing quantitative analyses yourself, making use of the (more advanced features of the) tool SPSS.
SSC2061 Statistics I.
- Penders, Vince (2019). Pirates, Peaches and P-values: Parrrt 1. Maastricht: Mosae Verbo.
- Penders, Vince (2019). Pirates, Peaches and P-values: Parrrt 2. Maastricht: Mosae Verbo.