Mastering your quantitative research thesis from A to Z

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

Who this course is for:

• Students writing their quantitative Bachelor’s or Master’s thesis
• Qualitative researchers undertaking their first quantitative project