# Questions tagged [multilevel-analysis]

Statistical analysis of datasets comprising several levels of hierarchy (e.g., students nested in classes nested in schools or hierarchical forecasting). For questions about mixed models use [mixed-model] tag. For nested random effects, use [nested-data].

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### Structural or sensitivity analysis of multivariate time series with multiple subjects

Sorry if this isn't explained in the best way. I have very basic knowledge of time series analysis so my question may sound very simplistic or might be missing the big picture of this type of analysis....
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### Calculating sampling variance in multilevel meta-analysis

I'd like to conduct a three-level meta-analysis using R. I see that several papers recommend calculating the level 1 sampling variance using Cheung's 2014 formula 14. However, I'm wondering if it is ...
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### If I'm conducting a matched study with multiple levels (e.g., students within classrooms), what is the appropriate level to match on?

Let's say that I'm conducting a non-randomized matching evaluating of an educational intervention to determine its impact on student grades. While the students receive the intervention, the teachers ...
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### Centering in Multilevel/ Mixed Modeling (MLM/HLM) Cross-Level Interaction Small Groups Dichotomous Variable

I am having some trouble with the literature on centering in multilevel models. I cannot seem to find a clear answer for my unique situation. I have a multilevel model with approximately 500 level 1 ...
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### all variables at one of my level is not significant

I am modelling a logistic regression multilevel with 3 levels. Level 1 is individual, level 2 is household characteristic, and level 3 is regional characteristics. The results of the random effect ...
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### REML for multilevel modeling comparison

With the very same data, I want to compare the two multilevel models. (these two models differs in both fixed and random effects) so, I am planning simulation study. I will generate the data set, and ...
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### Account for different amount of observations per participants without using a regression approach?

I am trying to figure out the statistics of a study where I have 60 participants with varying amounts of observation per participant. I am measuring facial muscle activity after a button press over a ...
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### Hierachical model causing too much shrinkage?

I use population-wide, 12-year data for examining regional differences in rehabilitation use (zero-inflated, lognormally-distributed outcome variable). I analysed the outcome variable with 2 models: <...
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### Multilevel CFA in R (lavaan); Error: No variance within some clusters

I am running a multilevel CFA in R package lavaan (following the process by Dyer, Hanges, & Hall, 2005). I was able to run an individual-level CFA, and examine both the within group covariance ...
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### Choosing the appropriate model: mlm | panel FE | TSCS

I am a bit unsure what is the right model for assessing overtime variation with unit fixed effects, contingent on context features. The data (n>10000) at hand consists of features of individual ...
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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 ...
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### QQ plot for multilevel logistic regression

I'm running the multilevel logistic regression, and I hope to create a diagnostic plot for the model.But I found the previous qqnorm() function isn't available for multilevel logistic regression. So I ...
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### Making binary prediction with GPBoost (or MERF)

My question is regarding this post from 1.5 years ago: Modelling clustered data using boosted regression trees My label is a binary variable (yes/no). Is it possible to use GPBoost / MERF in order to ...
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### Design effect of a random intercept model-how variance and effective sample size are calculated

I am reading about the random intercept model for the two-level analysis. The effective sample size is defined as neff=Ntotal/(1+(n-1)*ICC), where 1+(n-1)*ICC is also called the design effect. I ...
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### Meta Analysis in R (metafor): How to interpret a multi-level mixed effects model with intercept and without intercept?

Dears, I am having trouble making sense of two MLMEs I did using rma.mv(). I am using a factor variable with 4 levels as a moderator. The two outputs (once with ...
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### Is it possible for a hierarchical model to forecast a sub-region with complete lack of data as "borrowing strength"?

I am looking at sales time-series data (weekly from Jan to Dec 2021) which has a natural hierarchical structure by geography. For example, storeA1, storeA2, .... storeA99 located in Neighborhood A, ...
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### How can i check homoscedasticity for Level-2(between)-residuals in a twolevel model?

i have specified a random intercepts and slopes model with a Level 2-predictor for the intercepts on the between level. I have done the estimation with the lme4 package in R. Now, i want to plot the ...
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### Missing R Squared and ICC for Multilevel Binary Logistic Regression

I am currently assessing if allocation to a rejection scenario and degree of negative beliefs predicts the odds of engaging in a series of behavioural outcomes (e.g. avoiding the person). My first IV (...
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### Model choice for group-level outcome over time with individual-level predictors

Main question: What is an appropriate model for this? Similar unanswered question here. So far, I've just calculated group-level means of the predictor at each timepoint and run an aggregated ...
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### Advice needed on multi-level nature of my data for latent class analysis #multi-level latent class analysis

I have data with a mix of predictor variables, some of them are person level scores (from prospectively collected data), but most of the variables are based on geocodes (e.g. score based on respondent ...
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### How to run and interpret Multilevel Models in SPSS?

I'm totally new to using SPSS and am trying to understand how to run and interpret multilevel models (which I'm also fairly new to)... I have data for 4 groups of around 200 participants each, and all ...
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### 3-level meta-analysis: Level 3 (study level) has a variance of 0, should I drop this level?

I am doing a 3-level meta-analysis. First, I fit a theoretically-driven model, where level 1 is the sampling variance, level 2 is the effect level, level 3 is the study level. This method is well ...
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### How to adjust p-value for both multi-level and multi-variate comparison?

I have a naive statistical question: Do I need to adjust p-values two times when I perform a multi-level and multi-variate comparison? Suppose I have a data frame df...
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### Three level multilevel model in r

I am conducting an analysis looking at trust across a range of 30 countries between 2002-2018. I am using repeated cross sectional survey data. My data is structured so that individuals(level 1) are ...