This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/832

Linear models and linear mixed models are an impressively powerful and flexible tool for understanding the world. This tutorial is the first of two tutorials that introduce you to these models. The tutorials are decidedly conceptual and omit a lot of the more involved mathematical stuff. The focus is on understanding what these models are doing ... and then we’ll spend most of the time applying this understanding. The idea is to bootstrap your knowledge as quickly as possible so that you can start with your own analyses and then turn to more technical texts if needed.

You’ll need about 1 hour to complete this tutorial (maybe a bit more).

Researchers should cite this work as follows:

• Winter, B. (2013). Linear models and linear mixed effects models in R with linguistic applications. arXiv:1308.5499. [http://arxiv.org/pdf/1308.5499.pdf]

1. data analysis
2. fixed effects
3. linear models
4. mixed models
5. R
6. regression
7. Resources @ QUBES - Teaching & Reference
8. statistics
9. Tutorial