Analysing Data using Linear Models
This book is for bachelor students in social, behavioural and management sciences that want to learn how to analyse their data, with the specific aim to answer research questions. The book has a practical take on data analysis: how to do it, how to interpret the results, and how to report the results. All techniques are presented within the framework of linear models: this includes simple and multiple regression models, linear mixed models and generalised linear models. This approach is illustrated using R.
Some of the data sets used in this book have been generated for the sole purpose of demonstrating statistical principles. These are not real data and no conclusions should be based on them.
Earlier editions of this work, based on Sweave files, were supported by the Faculty of Behavioural, Management and Social Sciences (BMS) at the University of Twente, the Netherlands. The current bookdown edition was generously supported by a BMS WSV grant awarded to the author. Jolien van Straalen-Pas and Marian van Dijk offered many suggestions that improved the text substantially. Others, including students, spotted many errors, big and small. For the errors remaining, the author takes all responsibility.
This work is licensed under a Creative Commons Attribution-NonCommmercial-ShareAlike 4.0 International License.