Timeline for Encoding of categorical variables (dummy vs. effects coding) in mixed models
Current License: CC BY-SA 3.0
9 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jan 15, 2018 at 21:45 | vote | accept | User33268 | ||
| Jan 15, 2018 at 21:38 | comment | added | User33268 | This is a very good explanation of simple and main effects, very clear and helpful. However, I was aiming at checking whether my interpretation of random effects is correct, which seems so. Thanks anyways. | |
| Jan 15, 2018 at 10:34 | answer | added | Henrik | timeline score: 13 | |
| Jan 15, 2018 at 10:06 | history | edited | amoeba | CC BY-SA 3.0 | edited body |
| Jan 15, 2018 at 8:53 | comment | added | amoeba | I think the Chapter explains it quite well and a longer quote would provide an answer to your question. (Note that this Q has nothing to do with mixed models.) Perhaps you are confused by them mentioning "simple effects" and "main effects". See here glimo.vub.ac.be/downloads/simpleeffect.htm or here lrdc.pitt.edu/maplelab/slides/Simple_Main_Effects_Fraundorf.pdf (found by googling; you can easily find more). Your X coef is a simple effect because it's at Cond=0. A main effect would be an effect of X "on average" (across all conditions). But your interp. is fine. | |
| Jan 15, 2018 at 8:36 | history | edited | amoeba | CC BY-SA 3.0 | paper link |
| Jan 15, 2018 at 7:17 | history | tweeted | twitter.com/StackStats/status/952802005688422400 | ||
| Jan 14, 2018 at 23:15 | history | edited | User33268 | CC BY-SA 3.0 | added 622 characters in body |
| Jan 14, 2018 at 22:19 | history | asked | User33268 | CC BY-SA 3.0 |