Tagged Questions
0
votes
0answers
36 views
Comparison with trial dependent chance level
I ran an experiment where each participant had to choose 1 image from a 4-image display and I measured whether the image they chose was from category A. I want to compare the average proportion of ...
0
votes
1answer
46 views
Interpretation of probabilities from a mixed-model logistic regression
In the following model specification, which is a random intercept 2-level logistic regression:
Would two lower level units ($i$) with the same value of $x_{1ij}$ and within the same higher level ...
0
votes
0answers
33 views
Does it make sense to include higher level predictors when there is no higher level variance?
I want to test the relative importance of incident, victim and neighbourhood characteristics on the probability of a crime being reported to the police. I use a three-level random intercept logistic ...
2
votes
0answers
65 views
Logistic Regression - Predicting an event with a couple time-related issues
I'm using logistic regression to predict the occurrence of tree carcasses falling after a mortality event. Data include a variety of topographic and tree characteristic variables and also time since ...
1
vote
0answers
110 views
Are there packages for fitting ordinal logistic/probit mixed models with random slopes in R?
I'm looking for a way to fit an ordinal logistic and/or probit mixed model that includes random slopes. The only package for R I could find that allows for random effects at all in ordinal mixed ...
3
votes
1answer
130 views
Which model to use with repeated measures data that contains multiple binary dependent variables
What model should I use??? I have daily repeated measures data. It has multiple dependent presence absence variables, (of which, I have collapsed into a CA with continuous variables of CA1 & ...
9
votes
3answers
6k views
How to interpret main effects when the interaction effect is not significant?
I ran a Generalized Linear Mixed Model in R and included an interaction effect between two predictors. The interaction was not significant, but the main effects (the two predictors) both were.
Now ...
0
votes
0answers
172 views
What are the assumptions of ordinal mixed effects logistic regression?
Specifically, what are the assumptions of ordinal mixed effect logistic regression performed with the "ordinal" package in R? I just got knobbled by a reviewer because these weren't clearly stated in ...
3
votes
1answer
621 views
Interpreting coefficients of ordinal logistic regression when there is clustering within the data
I have built and refined a regression model using the ordinal package in R. The measure is $0>1>2>3>4>5$ (Yes/No ...
3
votes
0answers
149 views
Crossed random effects and unbalanced data
I am modeling some data where I think I have two crossed random effects. But the data set is not balanced, and I'm not sure what needs to be done to account for it.
My data is a set of events. An ...
8
votes
1answer
2k views
What is the difference between generalized estimating equations and GLMM?
I'm running a GEE on 3-level unbalanced data, using a logit link. How does this differ (in terms of the conclusions I can draw and the meaning of the coefficients) from a GLM with mixed effects ...
5
votes
2answers
712 views
Analyzing a 2x3 repeated measures design using a logit mixed model
An experiment I conducted recently used a 2 (between participants) x 3 (within participants) design. That is, participants were randomly allocated to one of two conditions, and then completed three ...
