posted about 2 weeks ago

Hi there

Can anyone suggest a detailed tutorial on how to successfully interpret regression output in R for a model that has an IV that has 3 levels (e.g., conditions A, B, and C)? I am very familiar with running linear models in R but up to now my categorical IVs have only had two levels (e.g., male/female, low/high). It's simple to interpret the output when this is the case. But when there are three levels to the IV it is rather confusing.

I have had a search and read about doing different types of contrast coding to help you interpret the output, but I haven't managed to find a tutorial that is really clear and that I can actually follow and use as a guide to interpret my output. If anyone could suggest one, or provide steps on how to do it, that would be great. Thank you!

Ps. I realise this isn't a stats forum. I'll post on one eventually if I need to.