The Stata guide builds on five parts, presented below.

Part I: The basic stuff

This part of the guide introduces the Stata environment and common terminology used in quantitative methods, as well as how to produce descriptive statistics and perform simple statistical analysis.

Part II: Regression analysis

This part of the guide starts with some perhaps simpler alternatives to regression analysis and then moves on to how to prepare the data for regression modelling. We then go through several types of regression models (linear, logistic, ordinal, multinomial, Poisson, and Cox). In the final chapters, you will be introduced to mediation analysis and interaction analysis applied to regression modelling.

Part III: Taking it one step further

Regression analysis represents a really powerful family of models that can be used for basically anything. However, there are so many extensions of regression models, as well as alternative ways of modelling data. In this part, we will introduce some of these extensions and alternatives.

Part IV: Test your skills

This part of the guide offers opportunities for you to test what you have learnt in the previous parts, in a series of multiple-choice tests. The correct answers are also published, alongside references to where you can find more information in the guide.

Part V: From start to finish

Are you planning to write a master thesis or something similar? Wondering how to go about this? The last part of the guide aims to provide examples of how one can typically go about this process, from a methodological perspective.