Timeline for Model fit is improved ONLY by random effects in linear mixed effects model
Current License: CC BY-SA 4.0
8 events
| when toggle format | what | by | license | comment | |
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| Oct 5, 2020 at 18:50 | vote | accept | Ivan Ivanchei | ||
| Oct 5, 2020 at 12:58 | comment | added | Robert Long | I've updated my answer | |
| Oct 5, 2020 at 12:58 | history | edited | Robert Long | CC BY-SA 4.0 |
Added info on how to proceed
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| Oct 5, 2020 at 11:58 | comment | added | Ivan Ivanchei |
Hi Robert! Thanks! That's what I understand. I just don't understand what should be the next step in the analysis. If there's appreciable variation in A between subjects, I guess, I shouldn't drop this fixed effect, and maybe should try to find a source of this variation, e.g. some coasters of participants...
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| Oct 5, 2020 at 11:47 | history | undeleted | Robert Long | ||
| Oct 5, 2020 at 11:47 | history | edited | Robert Long | CC BY-SA 4.0 |
Fixed mistake
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| Oct 5, 2020 at 11:42 | history | deleted | Robert Long | via Vote | |
| Oct 5, 2020 at 11:41 | history | answered | Robert Long | CC BY-SA 4.0 |