Timeline for Mixed model with nested and crossed random effects
Current License: CC BY-SA 4.0
7 events
| when toggle format | what | by | license | comment | |
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| Nov 14, 2023 at 15:32 | comment | added | Lukas Lohse | 2nd comment, sure, 3rd comment: What i defined is more of a random slopes model, which in this case is only subtlety different, but nevertheless i wouldn't mind it. | |
| Nov 14, 2023 at 15:30 | comment | added | Lukas Lohse | your 1st comment: Effects on reaction time are more relevant and only variables that have an effect on both or the difference between the groups need to be involved. There exists extensive theory about this: en.wikipedia.org/wiki/Bayesian_network | |
| Nov 14, 2023 at 9:17 | comment | added | Tim |
I sounds like you and Robert Long agree that nesting experimental_condition within day doesn't make much sense with respect to the research question. But thanks for explaining what that would do and for showing the corresponding model. That was educational.
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| Nov 14, 2023 at 9:05 | comment | added | Tim | I'll probably forgo making adjustments based on spatial correlations as the groups where tested in roughly the same place and the technical challenges seem high. | |
| Nov 14, 2023 at 9:03 | comment | added | Tim |
I could obtain weather data and have considered adding adjustments to the model based on it it. However, from the feeding apparatus, I also know how much food the bees consumed (e.g. 152 ml in group 2 on day 11), which is probably a more relevant adjustment than the weather, as it pertains to the satiated experimental_condition more directly. What do you think?
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| Nov 13, 2023 at 22:43 | history | edited | Lukas Lohse | CC BY-SA 4.0 |
misread a subquestion
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| Nov 13, 2023 at 22:34 | history | answered | Lukas Lohse | CC BY-SA 4.0 |