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.
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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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How to specify random slopes when random effects are nested or crossed
I'm trying to run a model which has 3 random effects. Its data on an animal species and the random effects are 'group', 'mother' and 'individual'. Individual should be nested within mother, and then ...
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Proper analysis of completely crossed design with subjects and items as random effects (brms)
I have the following study design:
stimuli: 240 pictures:
6 pictures of 40 students each
(each student fixated one of six points and during each fixation one picture was taken)
each stimulus was ...
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Multivariate analysis in split-plot designs
I am struggling to find the appropriate analysis with a microbial dataset.
Here is the experimental design I have to work with:
Basically I have plants from a first generation that grows in different ...
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How to simulate multilevel data based on with- and between-group correlations?
I want to conduct a power simulation for my research with crossed random effects model in the R environment. Specifically, in the pilot study, each participant randomly rates 10 stimuli out of a ...
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Best practices for determining complex random effects structures
I am decently familiar with basic random effect structures for mixed effect models (i.e., random intercepts per id) but struggle to identify the most justifiable structures for more complex study ...
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brms model specification with 3 (crossed or nested?) levels
I have a data set that looks like this toy data
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Accounting for nuisance confounding variable in multi level model for crossed or multiple membership study
I am trying to use a multi level model for a study where participants take part in 3 separate sessions where they complete a cognitive task and I measure reaction time. During each session, they ...
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Combining two fixed factors in one factor
I have a question about a mixed model I'm running.
The formula is the following:
DV ~ Combined * Sex * Arousal + (1 + Combined | Subject) + (1 | Item)
My question ...
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Nested Linear Mixed Effects Model for Region-of-Interest to Region-of-Interest (ROI-to-ROI) Analysis
I am trying to examine the effects of language (English/Mother Tongue) on functional connectivity between different regions of interest (ROI). Hence, I employed a nested Linear Mixed Effects Model ...
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Identifying random effects structure to simulate dataset - lmer
I am trying to simulate a dataset based on an existing study.
60 participants completed the experiment twice. Each time, they were randomly assigned to either condition A or condition B. The condition ...
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Crossed effects without all combinations
There are a number of posts on Cross Validated explaining the difference between nested and crossed random-effects. In this example, it is noted that all feasible random effects categories are linked ...
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When to exclude factor levels from partially crossed random effects for a mixed effect model?
Our data consists of various measurements on plants (plant_id). These measurements were taken during a specific time of year over the course of a 5 year period (...
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Fitting a longitudinal three-level in lme4 with multiple informants
I am trying to fit a multilevel longitudinal model and I am not sure how to conceptualize the structure and how to specify it with lme4 notation.
My outcome of interest is the child's internalized ...
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Many crossed-random effects increase multicollinearity, decreases efficiency or consistency or introduces bias?
Many crossed-random effects increases multicollinearity, decreases efficiency or consistency or introduces bias?
What are the trade-offs of using many random-effects?
user318514
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Getting mixed answers on when to include random slopes into crossed effects linear mixed model
I've tried reading through the other threads here on this subject but I still don't really understand the specifics to the answer I'm looking for. I have a crossed effects model that looks something ...
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Specifying Random Effects Structure in LMER
I am trying to work out how best to specify a random-effects structure for a mixed effects model. My experiment had 85 participants, who each completed 96 trials of a task. From observing the data, I ...
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diference between nested and crossed random effects within my study [duplicate]
dear. How are you. There is long since I have been trying to solve a doubt about diference between nested and crossed random effects within my study. So I am here to ask and seek for some information. ...
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Multilevel Model Crossed Random Effects
I am analyzing a dataset using a multilevel model approach and have been recommended to look at using crossed random effects due to the structure of data. I've currently been treating my data as 2 ...
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Why random effects explain more variance than fixed effects
I have run a mixed-effects model that included fixed effects as well as random intercepts and random slopes. The design of the experiment is crossed: there are participants, each of whom evaluate a ...
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How to run a multilevel regression model with crossed random effects: items and participants?
I am trying to run a multilevel regression for my study:
I have two random effects; participants (97) and items (which are the 20 words used in the study)
Each participant had to spell the same words.
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How to deal with crossed and nested factors at the same time in a linear mixed model?
I've recently started analysing the data for a project using linear mixed models but am not sure how to deal with crossed and nested factors at the same time.
In my study, each participant reported ...
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Are my random effects nested or crossed?
I am using the R package lme4 to build a mixed-effects model. My data is set up in the following way:
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lmer model interaction with 1 intercept and 1 random effect
I am very new to statistical analysis, but I am trying to understand the mixed-effect model.
The data that I have is the mass volume of different rats across different days. Each rat has different ...
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Interpreting FE and RE from plots in an lmer
I am currently trying to understand mixed effect models. And I would like to ask for some help understanding these results.
The data that I have is the mass volume of different rats across different ...
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Lme4 Crossed Effects Mixed Model w/ Interaction Terms
Greetings Statisticians!
I am trying to create a crossed effects mixed model w/ interaction terms in lme4 to describe a regional analysis of MRI data in mouse brains w/ genotype, treatment, and time ...
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How do I specify crossed random intercepts in lme?
I want to run a random intercept mixed-effect model, with two random intercepts. I made some example data below, which consists of 10 subjects from 3 families that go to 3 different schools. They get ...
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What would a linear mixed model look like in an experiment using human judgement?
I am trying to build a LME model for the following occasion:
In an experiment 10 persons rated 15 items (all rated the same items). These items can be physically (sensors) characterised by different ...
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How to specify interaction between crossed and nested factor levels?
We have estimated a mixed model with random factors where respondent (id) is nested within group and also crossed (fully) with stimulus. In lme4 syntax this is written as:
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Crossed-random effects model: linear heteroscedasticity
we conducted a study in which two groups from different populations (both n = 25) were instructed to rate the symmetry (visual analogue scales, 0 to 100) of 50 different faces in randomised order each....
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Fully crossed effects specification in a cross-over design
I am trying to specify a linear mixed model using lme4, and do not completely understand how to specify a crossed random effects structure.
The study design looks like this:
we have n subjects (...
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sample size in mixed effects models with crossed random effects
I am trying to plan the needed sample size for my eye-tracking study. The outline is as follows:
Each participant will view approx. 100 images for 3 seconds each for which fixation data will be ...
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Crossed random effects: how do we model multiple reciprocal transplants in lme4?
I saw the previous post on "Crossed vs nested random effects: how do they differ and how are they specified correctly in lme4?" with a very nice descriptive response from @RobertLong (...
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What is the appropriate random effect model and R-code for following data and question?
I attached a data here called image_study. The “image_study.csv” dataset contains data from a study examining the speed of classification of two different types of image: artworks, and natural images.
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Negative binomial regression analysis with crossed random effects
I face a challenge in running a model comprising (1) crossed random effects and (2) a zero-inflated negative binomial regression in R.
In the study, I analyze interactions between organizations. ...
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Linear Mixed Model with Date Covariate and Missing Values
Let us consider the table below, which contains (a sample of) the sale prices of different properties in successive years (not all properties are sold each year):
...
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Linear Mixed Model With Partially Crossed Random Effects
I am trying to apply a linear mixed model on my data. Unfortunately all howto's and papers I found yet do not help me with my design:
I have 30 different texts (stimuli) which are rated on 5 items (on ...
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Equation notation for crossed-effect mixed models
I have conducted a crossed-effect logistic regression using Stata's meqrlogit command and have been asked to provide the equation notation. I have participants (ID) who each rated 8 activities (act) ...
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Longitudinal mixed-effect model with crossed random effects
I'm having a hard time figuring out the appropriate fixed and random effect structure for my model and would appreciate some help.
In my study the frequency of two environmental behaviors was assessed ...
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How to build a GLMM that observes the years since experimental design was established?
Hello, my first question, quite individual, so I find it difficult to relate already answered questions to mine.
I have observed the vegetation development in forests of 5 different areas (...
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Interpreting nested random effects
I was playing around with some data and had hard time to understand the meaning of nested effects.
Here's an example of a dataset (selfesteem2 from package datarium)...
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Crossed effects in lmer or lme4
I conducted an experiment where I want to predict response times in a picture classification task from person characteristics (age, prior experience) and item characteristics (similarity; color, shape,...
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Lmer model syntax for a combination of crossed and nested random effects
I'm trying to use the lmer() function in R to specify a particular random effects structure for a model that has four levels: each measurement on a students occurs ...
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How to fit the right cross-classified multilevel model
. I would like to study the link between mortality (outcome and binary variable) and competition between hospitals (Predictor). The competition faced by the hospital is measured by the Herfindahl-...
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Crossed or nested random effects in a repeated measures and a between-subject design?
After reading a lot of material on nested and crossed effects, I am still unsure on whether the random effects in my design are nested or crossed. I would really appreciate advice from some more ...
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Two factorial time series mixed effect model using lmer
I'm facing a problem regarding the the selection of an appropriate model and right synthax using lmer()-command (lme4-package). But first let me explain the design of the study:
Study design: I ran an ...
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Singular fit for a mixed-effects model with crossed design
I have a dataset where different features were measured for three conditions. Each feature consists of sub-features, and sub-features are nested within features. I'm interested in the contrasts cond1 ...
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Cross-classified mixed models in lme4: How to code cluster variables when there are >2 random intercepts?
Let's suppose that I have a dataset where individual responses to a questionnaire are cross-classified within two grouping variables, G1 and G2.
Based on this very informative post, it seems that ...
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crossed random effects with autoregression, glmmTMB
I am working on data that have crossed random effects as well as a autoregressive covariance structure. I would like to check if there is something unlogical about my approach, as the model I would ...
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lme4 - correct formula for a crossed factor nested mixed model
I am having a little trouble verifying correct notation for a crossed factor nested mixed model anova using lme4 package in R. My data is experimental, I applied two crossed treatments (light and ...
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