All Questions
6 questions
5
votes
1
answer
751
views
Should I remove random intercepts from my model?
I have collected some data on response times (Y) under two varying conditions (X1 and X2). The conditions are continuous variables, although I set them to fixed values of 1,2,3,4 and 5.
I have 10 ...
- 409
0
votes
1
answer
233
views
Multilevel analysis - interpretation not significant at level 1
I'm doing a multilevel analysis for the first time for my master thesis.
The goal of my study was to create behaviour change through an intervention. Participants are measured for behaviour at 3 ...
- 1
0
votes
0
answers
2k
views
How to Interpret the result of generalized linear mixed model?
I ran a generalized linear mixed model using lmer in R, and I'm struggling how to interpret the result. The response variable is a result of 25 consecutive binary choices. The point where I'm stuck is:...
2
votes
1
answer
2k
views
How to interpret random intercept "BLUP" from the sjPlot package?
I am using the sjPlot package to estimate my multilevel model and I am loving it. However, I am a bit confused by the output of the random intercept.
Background:
My dependent variable is on a scale ...
- 118
5
votes
0
answers
2k
views
Interpreting the variance of random effects in Mixed Linear Models?
When fitting the following simple model, using the 'lme4' R package and including a fixed and random slope term, I get:
...
- 429
3
votes
2
answers
2k
views
How do I setup a model with hierarchical structure using lmer in R?
I am trying to isolate the important predictors for my response variable "Y". I know that "TL" (which is an individual level predictor) affects "Y", and now I want to determine if adding the site ...
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