Timeline for Interpretation of F-statistics in a linear mixed model
Current License: CC BY-SA 4.0
6 events
| when toggle format | what | by | license | comment | |
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| Oct 21, 2020 at 21:58 | comment | added | Dave | It works by comparing the full model (with that variable or variables) to a reduced model (without that variable or variables). | |
| Oct 21, 2020 at 18:58 | vote | accept | CommunityBot | ||
| Oct 21, 2020 at 18:52 | comment | added | user35780 | Cool, so i now understand the interpretation, but I'm a little fuzzy on how to think about how the F test does it when applied to each variable of interest (as opposed to applied to the full model). Should I think about it as a analysis of variance between the intercept only model and a intercept plus that variable of interest model? Unfortunately, the wikipedia page is quite empty on this topic. | |
| Oct 21, 2020 at 13:13 | history | edited | Dave | CC BY-SA 4.0 |
added 192 characters in body
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| Oct 21, 2020 at 13:04 | comment | added | chl | How about degrees of freedom in linear mixed-effects models? | |
| Oct 21, 2020 at 12:58 | history | answered | Dave | CC BY-SA 4.0 |