Undertaking a quantitative research thesis is super exciting. And frightening!
In a typical thesis project, there are many issues popping up and it is easy to see why many students are frightened by them. Every single issue presents a novel, unique challenge.
But that is only true from the individual perspective.
Supervising hundreds of theses on all levels, it is relatively easy to see a pattern. It's always the same problems that cause headaches!
So in this course, I distill my experience with helping students overcome these challenges. I'll also add some wisdom gained on my own through the school of hard knocks in academia. I'll help you with every step of the research process - finding a topic, collecting data, analyzing data, and writing everything up in an orderly manner.
This course is the ultimate guide for any student who wants to master their (quantitative) thesis: We cover a range of topics, for example:
An overview over the Research Process
Planning Your Data Collection
Choosing a Research Method/Statistical Test
Writing Your Introduction
Writing Your Method Section and Results
Discussing your work
....
PS: For the analytical part, I will explain everything using JASP, an open-source software that is built on the might R framework for statistical computing. So no need to investing expensive statistical software licenses!
So: See you in the course?
Yours
Dominik