Timeline for Full dataset with few repeated measures
Current License: CC BY-SA 4.0
4 events
| when toggle format | what | by | license | comment | |
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| Aug 17, 2021 at 13:56 | vote | accept | André Barros | ||
| Jun 19, 2021 at 10:50 | comment | added | Robert Long |
Your data do not support a model with random slopes and random intercepts. The usual approach is to omit the random slopes. You could also investigate how important random slopes are by fitting the model without the intercepts - you might want to consider centering the expl variable in that case. But ultimately if you don't have enough data, there is nothing you can do
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| Jun 19, 2021 at 10:46 | comment | added | André Barros | Thanks for you response! Indeed I am thinking about to do this but, I don't know then if it is oversimplified (both the intercept and slope are relevant from the user perspective)... Do you know if there is any different way to analyze this type of dataset? | |
| Jun 19, 2021 at 10:28 | history | answered | Robert Long | CC BY-SA 4.0 |