All Questions
Tagged with multilevel-analysis r
472 questions
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Derive gamma-parameters from preset R^2 in mixed models
For a simulation study in R, I want to select the effect sizes according to a preset $R^2$.
Consider this two level random intercept mixed model, with one L1 predictor $X_{ij}$ and one L2 predictor $...
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24
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Multilevel Model in R
I have data from a study in which 19 participants (9 males, 10 females) have each completed 4 jumping conditions (BW, 20, 25, 30) whilst I have measured joint level data for the hip, knee and ankle. I ...
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mice multilevel imputation: does specifying cluster variable ("-2" in predictor Matrix) without multilevel methods lead to cluster robust imputation?
In short: Are mice's imputations cluster robust when I only specify the cluster variable with "-2" in the predictor matrix but do not use multilevel models during imputation?
For clustered ...
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1
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655
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GLMM with time-series covariance and binary response variable?
I have a binary response variable that was measured at irregular time intervals for a number of individuals. I want to fit a GLMM that accounts for the time-series covariance within individuals.
I ...
CommunityBot
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1
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Mediation models require a sigma matrix that is symmetric
I'm trying to fit the following reproducible mediation model called final. But I get an error saying:
sigma must be a symmetric matrix
Could you please advise how ...
- 397
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1
answer
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Seeking recommendations for R Packages for Multilevel Mediation Analysis with Binary Mediator
I am conducting a research study and aim to investigate the relationship between dietary habits (independent variable) and academic performance (dependent variable) of adolescents, with ...
- 65.8k
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1
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471
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Power analysis for three-level multilevel models in R
For a study in a social science setting - where huge number of participants are not easily available - I'm trying to do a power analysis for a three-level multilevel design.
There are few packages ...
- 65.8k
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1
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Setting predictor variables with 3-levels in multilevel mode
I am working with a random intercept multilevel modeling.
I want to predict general health based on survey data. The survey uses nested data set on three levels: individual, county, and state.
I am ...
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1
answer
35
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Experimental condition with multilevel model
I am working with a survey experiment. The data is set at three levels: individual, county, and state.
The experimental condition was randomized at the individual level 1. That is, some individuals in ...
- 82.8k
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1
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283
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Is standardize always necessary when predictors having very different scales?
I am running a two-level mixed model, where individual economic status and GDP per capita (PPP) are predictors, and subjective well-being (SWB) is outcome.
Two predictors (economic status, PPP) are ...
CommunityBot
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3
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443
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Comparing variance in random effects: crossed random effects or different models?
I am interested in making sure that a predictor I include into a regression actually explains the type of variance it should. To be more specific: in an experiment in which a number of people sees a ...
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210
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Analysis of incomplete block design and block-level attributes
I am working in a system where experimental treatments are necessarily associated with specific blocks (a complete design is not possible) and am looking for guidance on valid model specification.
...
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2
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39
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Can I Perform a Micro Synthetic Control Analysis with Different Aggregation Levels for Treatment and Control Groups?
I am conducting an analysis using the microsynth package in R to evaluate the impact of increased police presence on various outcome measures obtained from an official survey. My treatment areas ...
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0
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56
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Error in lmerTest: The random-effects parameters and the residual variance (or scale parameter) are probably unidentifiable
I know that there have been similar questions before, but I dont still get it.
I would like to estimate a multilevel model with repeated measures in R using the package “lmerTest”. The model ...
- 2,825
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1
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901
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How can I get the confidence interval of hierarchical forecasts reconciled with hts::combinef?
I have hierarchical data that I want to forecast, reconcile, and then plot each model's forecast.
UPDATE: In my attempt to make a minimum reproducible example I made it too simple and didnt really ask ...
CommunityBot
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1
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281
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R: Inflated degrees of freedom in mixed linear model
I have a question regarding a mixed model I am using:
In a study, participants have been presented with 40 different news article headlines and indicated for each headline whether they would share the ...
CommunityBot
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3
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1
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48
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Mixed Model: Translation from mathematical notation to R's lmer() - package: lmerTest
The following data should be generated and fitted to a mixed model (for further simulation studies):
$y$: outcome of clinical study (effect of medication)
indiv individuals = 20
repl replicate ...
- 5,890
1
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1
answer
781
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Specification of longitudinal mixed-effects model with varying treatment times, varying observation times in lme4
I am familiar with fixed-effects linear regression models, and have done reading on mixed-effects models.
I am attempting to fit a model based on observational data, where treatments come at varying ...
CommunityBot
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1
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2
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743
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Cross-level correlations in a Multilevel Model
I'm currently running a daily diary study, where participants first complete a baseline survey and then complete the same survey each day for 10 days. My data has a nested structure (days nested ...
CommunityBot
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1
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48
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Estimating a (purposely) misspecified multilevel model in R using frequentist statistics with MCMC/BS and getting cluster-specific effects and CIs
Dear Stackoverflow friends,
I have a challenging task. I am trying to purposely (for research/teaching) estimate a misspecified multilevel model and retrieve its cluster-specific estimates and CIs ...
- 47.3k
1
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1
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162
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Can Lavaan handle multigroup multilevel SEM?
I am wondering if it is possible to run a multigroup, multilevel SEM in Lavaan.
I can run the analysis just as a multigroup and just as a multilevel, but when I try to specify both cluster and group, ...
- 2,717
6
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3
answers
11k
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Creating ROC curve for multi-level logistic regression model in R
I used the functions from this link for creating ROC curve for logistic regression model. Since the object produced by glmer in ...
- 101
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2
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252
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Mixed Model for Repeated Measurement (mmrm) - Assumptions
I want to fit a mixed model for repeated measures (mmrm) on a set of panel data with 6 visits and N = 1200. I want to estimate the effect of time passing on the outcome, without any intervention since ...
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1
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44
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Multi-level Linear Mixed Model: Sampling and Power Issues
I am struggling to find a proper model for my analysis, and on top of this, I have some questions about the number of observations and the resulting power of the model.
Experiment
I ran a reaction ...
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2
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387
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Running a multilevel model without level-1 predictors
Is it acceptable (publishable) to run a multilevel model with only level-2 and level-3 predictors? Example: Looking only at the effect of school resources, size or location, and at the district level (...
- 347
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2
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276
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Clarification on Random Effects Structure in Linear Mixed Models in R
I am using linear mixed models to analyze a dataset with a hierarchical structure, where measurements over time (level 1) are clustered within individuals (level 2), and individuals are clustered ...
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2
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1
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133
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Why estimated population variance differs from estimated $\sigma^2 + \tau^2$ in this random effects ANOVA?
A random effects ANOVA model is typically written as
$Y_{ij} = \gamma_{00} + u_{0j} + \epsilon_{ij}$
. and the total variance of the outcome variable is decomposed into
$var(Y_{ij}) = \tau^2 + \sigma^...
- 12.1k
1
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0
answers
69
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Bread freshness in bread basket, Multi-Level Analysis in R; 2 time points [closed]
This is my first attempt with multi-level analysis.
My research question is;
How does the freshness of different types of bread (6 level) within a bread basket, change over two time points (ranging 4-...
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30
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Is it appropriate to calculate odds ratios from random effects glmm output?
Is it appropriate to calculate odds ratios from random effects glmm output?
about the data:
grown (binary): whether flower grows over a certain height (TRUE/FALSE)...
dasyer5
3
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1
answer
111
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How to fit random slope hierarchical model as SEM with OpenMx in R?
I've been exploring the OpenMx Package in R in hopes to fit multilevel path analysis and I can't figure out how to add random slope.
This is the model I am trying to fit:
$$
Y_{ij} = \beta_{0j} + \...
- 704
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1
answer
55
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Understanding lme4 output: Unexpected different results [closed]
I am teaching myself how to do multi-level models (MLMs) in R. I have two models, which I think should give me the same information (with some omissions in M2), but they are not completely the same. I ...
- 18.5k
2
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33
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How to fit a GLMM with multiple levels of nesting
I have some data I am struggling to process at the moment. I have landed on using generalized linear mixed models (GLMMs), but I am having a very hard time wrapping my head around it.
I have a large ...
- 6,454
3
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18
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How to nest multilevel model (or to nest at all)?
I'm trying to handle some data and get some insights from it.
The data includes a binary outcome variable, so I am using glmer.
The relationship is whether age groups are more likely to engage in the ...
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1
answer
44
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Random effect variance with or without fixed-effects intercept
I'm fitting some hierarchical models in R using lmer, and am trying to understand why the results change as they do when I either include or exclude a fixed-effects ...
- 3,416
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45
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3
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1
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614
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How to add interaction and covariates to linear mixed effects model in R
I have some data ($x$ and $y$) collected over multiple days for multiple people. I want to test whether the contemporaneous associations between $x$ and $y$ (measured daily) is stronger depending on ...
- 18.5k
1
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0
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276
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How to perform multilevel moderated mediation analysis with {mediate}
I'm attempted to run a multilevel moderated mediation analysis in R using the mediate package. Some details on my sample:
I have an experimentally manipulated ...
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0
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98
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Conducting a moderated multilevel mediation with more than two levels in R
I'm trying to conduct a moderated multilevel mediation model in R, but I'm still a pretty junior graduate student and I've only ever done mediation with lavaan. My outcome variable is cortisol, for ...
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2
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2
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214
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Mixed-effects model of nested time series [closed]
I have time series data for a variable from different climate models, each with multiple runs using different initial conditions (ensemble members). A small subset of the data to see how its laid out (...
- 2,353
2
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0
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60
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Why predicted values differ among methods?
I am using the dataset Orthodont from nlme to simplify my example.
...
- 128k
4
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1
answer
123
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What it means to model the residuals of a multilevel model?
I have a highly skewed dataset. But, my MODEL of choice below shows drastically improved, normally distributed residuals (and predicted values) compared to other models whose residuals are not modeled....
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0
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0
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78
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Calculate the average marginal effect (AME) in the multilevel regression with glmmTMB package
I am writing this message because I want to calculate the average marginal effects (AME) in order to be able to interpret an interaction resulting from a multilevel regression. However, I am finding ...
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1
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65
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Modelling 3-level MLM of longitudinal data in R
I have two questions regarding modeling a 3-level multilevel model in R.
I have a dataset of different variables that were assessed 4x as part of a longitudinal study. At each of the four assessments ...
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2
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1
answer
80
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Interpretation of random effects in mixed model with glmer()
I'm working on a final project and need to estimate a multilevel logistic model for analyzing dropout rates in higher education in a specific region.
The model has three levels, where intercepts vary ...
- 65.8k
5
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1
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What is the difference between mixed-effects modelling in the RStan and lme4 packages?
I've recently begun running some multilevel/hierarchical models. Initially I was using rstan/rstanarm, but then switched to the lme4 package.
Is the difference between these two packages only in the ...
- 47.3k
2
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1
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5k
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PowerSim function (simr package) indicates 100% power for small sample dataset, regardless of effect size, alpha level, or if fixed/random slopes
I am using the simr package to do power analyses for lmer multilevel models I have run, to determine the power of a pilot dataset for future research.
The dataset consists of 46 subjects with ...
1
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1
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374
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Repeated measures with nested data in R
Previously, I conducted a model like the following. I have repeated measures (Time factor: pre-post) of depressive mood in two different groups (Group factor: neutral and experimental). Each ...
CommunityBot
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0
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876
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plm vs lmer - differences in outputs?
I am looking to run a random-effects model to look at attainment of pupils who are nested within schools. The model specification includes pupil-level characteristics, school-level characteristics and ...
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High Type 1 Errors in Power Analysis by Simulation for Null Effect with Multilevel Ordinal Regression with Cumulative Link Model
I am doing a power analysis for an experiment where we will fit a cumulative link model for ordinal regression. But when I do the power analysis, my power for the null effect is between 20% and 30%. ...
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1
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2k
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Hierarchical logistic regression package in R
I'm working on a logistic regression model; the purpose of the analysis is to identify factors that influence use of an app - the DV being use/no use, and IVs being a couple of numerical and ...
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