Questions tagged [crossed-random-effects]
Crossed random effects refers to 2+ sets of random effects where levels of 1 random effect can occur in multiple levels of another. Eg, students in classrooms are nested, but students reading different stories could be crossed.
64 questions
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What structure of mixed model should be used for experimental repeated measures data like this?
Background
I have data in a similar form to that described in this question: What statistical test(s) should I use for this kind of repeated measures data?
The answers to that question suggested some ...
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Mixed-effects model: plot-level response, year-level covariates; cross-random effects needed?
I have ~20 years of data at one site, with plot-level productivity (3 permanent plots measured annually) and one plot-level predictor (composition; measured within the same 3 plots). All other ...
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Predictive variances with lme4 in R (accounting for random effects)
Consider a linear mixed effects model with two crossed random effects:
y ~ X * beta + Z * b + epsilon.
Is it possible to obtain predictive variances for such a ...
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Model selection for fixed effect and crossed random effect structure in glmer
I'm new to (generalized) linear mixed effects models. Any help would be appreciated!
Below is my study design with dummy data. I'm exploring the effects of the parameters I manipulated in game 1 on ...
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Nested, Crossed or both random effects
I am building a GLMM model with a binomial response variable, and I am having trouble determining which combination or nested or crossed effects to use. My situation is the following:
1.) I have ...
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Multilevel Modelling with Crossed and Nested Factors in R
I am trying to create a model to determine the effects of Stations and Circuits (and any interaction) on students scores in an OSCE exam, using the lmer function in R.
I have 3 factors: circuit $\beta$...
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Predicting current area-level counts from repeated cross sectional presence/absence surveys
Problem statement
I’m trying to predict the “current” distribution of wood-burning fireplaces at ZIP code level across 9 California counties based on 15 years of surveys with presence/absence data on ...
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lmer (lme4) nested random structure gives singular fit
I'm running the following model on some reaction time data:
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How my linear mixed effect model should look like? [duplicate]
I want to fit a linear mixed effect model with a response variable called "PhiPS2", along with independent variables such as habitat, season, and species. However, I'm not sure which of ...
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Random effects without repeated measures?
As I understand it, random effects are good for repeated measure designs where a random intercept, for example, represents deviations from an over-all trend. Given data with many grouping factors, ...
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Mixed model with nested and crossed random effects
I'm new to mixed effects models and am trying to use the lmer() function from the lme4 R package to specify a random effects ...
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Physical model for multilocation RCBD with repeated measures in time
I am trying to write a model for an experimental design that looks like this:
There are 5 farms (A,B,C,D,E) , and each farm has a RCBD design with 2 treatments(1,2) randomized in 4 blocks in each farm....
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crossed random effects in nonlinear mixed-effects model
I am a beginner in mixed effects modeling and am trying to find some useful code to solve my current problem. Specifically, I'm having some problems with model fitting. I'm looking for a ...
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Specify a correlation between two cross-classified random variables in a mixed-effect model
I posted this question in a different version on R-sig-mixed-models and received no reply. I am trying my luck here. I am trying to emulate an ANOVA-based approach to analyzing round-robin data with a ...
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Specifying a mixed effects model with repeated constructs but cross-sectional observations (crossed vs. nested data at three levels)
I have a question about specifying a mixed model with crossed data across multiple levels. Consider the following situation:
Let’s say I collected data on Americans’ perceptions about the importance ...
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