All Questions
Tagged with multilevel-analysis multilevel-analysis or
1,926 questions
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Should I conduct a multilevel for this or another analysis? Need help
I have three sources of data (teachers, parents and students) assessing students, in three waves. I want to assess all and see the differences between moments but then I also want to use variables for ...
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8
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what happens when a network has low closeness centrality - what happens to nodes on the periphery [closed]
I have thirty-nine nodes with closeness centrality scores but I do not know what to say about the nodes on the periphery who do not have scores.
3
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1
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46
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Calculate marginal effects for random effects model with two crossed random effects
I am trying to get effects marginal of two crossed random effects (using STAN or brms). I understand how to do it for a single random effect following McElreath's book and Kurtz's brms version of the ...
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2
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Accounting for non-independence and autocorrelation in HGAM
I am currently trying to fit a HGAM to model differences in daily activity patterns of fish in two treatments. Data were collected with high-resolution telemetry, and I currently have estimates of ...
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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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9
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Extracting individual level posterior class memebership probabilities in multilevel LCA
I am conducting a multilevel laten class analysis using the R package multilevLCA.
I have fitted the model using multiple steps (i.e. determining optimal number of classes as well as clusters). I now ...
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6
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1
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125
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Is there a way to forecast by subgroup without forecasting each subgroup separately?
I am trying to find an appropriate model to forecast the number of applications received at the end of a recruitment cycle based on previous recruitment cycles and the number of applications received ...
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Opposite results using Bayesian (STAN) vs Multilevel model (nlme). How is this possible?
My datasets contains the median wages and the cumulative installed wind-capacity for 4000 counties over a period of 20 years. The wages tend to rise over the period and the capacity tends to highly ...
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How to Forecast Sales for Sub-Locations Without Historical Proportion Data?
I have a time series dataset of total sales for a product in a store over time. This product is available in two different locations within the store: one stand near the checkout and another stand in ...
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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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1
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CWC(M) in multilevel modeling
I am new to multilevel modeling and recently learned about CWC(M) by Zhang et al. (2009, https://journals.sagepub.com/doi/abs/10.1177/1094428108327450). I am running a multitlevel moderated mediation ...
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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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4
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1
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How to Simulate a Multilevel Predictor Variable with Both L1 and L2 Variance Components?
I'm working on simulating multilevel data where I have a predictor variable measured at Level 1 (L1), which has both L1 and L2 variance components. For example, I want to simulate a socio-economic ...
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2
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1
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35
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Reporting Hierarchical Regression Results in Abstract
I did a hierarchical regression test in a social science study looking at how two variables (A and B) and their interaction term can predict variable C. My mentor told me to write in the abstract that ...
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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 ...
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Which estimator to choose for meta-analysis^ REML or CR2 with Wild Bootstrap?
I am following the following book: https://bookdown.org/MathiasHarrer/Doing_Meta_Analysis_in_R/multilevel-ma.html
I can't choose which estimator to choose: REML or CR2 with Wild Bootstrap.
Or maybe ...
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How can we simulate correlated random variables that vary at different levels in a multilevel/mixed effects setting?
I am very familiar with generating correlated random variables from a multivariate normal distribution.
This question is about doing that in a multilevel setting, where variables only vary at ...
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General formula for mixed models
I'm trying to wrap my head around the general formula of mixed models and how it relates to the system of equations I'm used to.
The general formula read like this:
$$\mathbf{Y_{j}}=\mathbf{X_{j} \...
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4
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1
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39
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Outcome in mixed models - lower level or upper level?
I am learning about mixed models and I have a question regarding the outcomes that can be considered. If I have hierarchical data, do the outcomes that I can consider need to belong to the lower level?...
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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 ...
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1
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How to Set Up a Polynomial Multilevel Model
I have a modeling situation that I am not 100% sure how to approach. I have two independent variables, information and time, with time being a repeated measure. The dependent measure is difference. ...
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1
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56
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Multi-level modelling?
In an instructional study, I have pretest and post-test measures of writing quality--no control condition. There are 110 students nested in 10 classes. I have pretest measures of spelling skill and ...
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1
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Prediction Intervals With Hierarchical Regression Model
I'm reading this data analysis book by Gelman and Hill and am trying to understand predictions with hierarchical models. On page 273 they are demonstrating making new predictions for an already ...
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1
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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 ...
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Hierarchical models where the hierarchy structure depends on a latent variable
I am having trouble formulating a hierarchical model for the purpose of Bayesian inference in the case where the actual hierarchical structure depends on a latent variable. I am wondering if this is ...
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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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Fitting nonlinear Bayesian regression with a summation term in brms
I'm trying to fit parameters for a Holling type II curve for multiple prey items. This takes the form:
$$
\frac{dP_i}{dt} = \frac{a_iP_i}{1 +\sum_j{a_jh_jP_j}}
$$
where $P_i$ is density of prey ...
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1
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1
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26
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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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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 ...
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1
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2
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35
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About adding random effects in Multilevel (HLM) analysis
I am doing regression analysis in HLM. I am wondering whether random effects should be added in this process.
Let me ask a question using a famous example. LV1 is a student and LV2 is a school. LV1 ...
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1
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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 ...
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63
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non-negative constraints and interactions in the ensemble model
In the context of prediction problems using regression models, suppose I have $K$ different models all trained (fitted) on the same targets (observations). These models are different - low correlation ...
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25
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3-level clustering in Multilevel Latent Class Analysis of distal outcomes
I am investigating the relationship between latent classes of student experiences (also aggregated on the school level) and student achievement based on the PISA data (cross-sectional, continuous ‘...
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1
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32
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Propagating measurement uncertainty with posterior predictions as data in another model
I'm working on a modeling approach that incorporated estimates of measurement uncertainty trying to use brms in R. I'm working from the example in chapter 14 of ...
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38
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Multilevel model where skew of random effect depends on an independent variable
I am trying to construct a model where the skew of the distribution of a random effect changes with an independent variable. I'd eventually like to fit this using ...
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4
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1
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Mixed model (random effects) vs pooled OLS with clustered SE
I have a dataset of country-years. I want to find out whether membership in a particular group, say, EU, has an effect on an outcome, say, GDP.
In my initial model, I estimated a pooled OLS model with ...
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1
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35
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Hierarchical logistic regression interaction
looking for some guidance on analyses.
I'm running hierarchical logistic regression models with a cross-level interaction, x and z (both variables are continuous).
Even though the interaction is not ...
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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 ...
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1
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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 ...
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1
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161
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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, ...
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72
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How to use posterior predictions from one model (standard curve) as an outcome variable in another model?
I'm working with a dataset concerning the concentration of a large number of different chemical compounds in a mixture, using a Bayesian approach (with brms in R). The instrument that measures the ...
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4
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1
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48
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Multilevel Modeling in Linear Mixed Models versus Generalized Linear Mixed Models
I am analyzing a data set that includes several discrete and continuous outcome variables (DV). For the continuous DVs I intend to use Linear Mixed Models (LMM) processed in SPSS. For the discrete ...
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Multilevel Model Residuals Scatterplot Assumptions
I am conducting multilevel modelling (MLM) in SPSS (mixed modeling) to analyze cross-sectional repeated measures data. One of my dependent variables is a survey question scaled 1 to 10, which ...
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There are statistical models for nonindependent/multilevel data (e.g., Mixed Models). Is there an approach for multilevel data in Machine Learning?
There are many cases of multilevel/nested/hierarchical data: people in schools, schools in counties, trials within a person, web sessions or mobile sessions within a person, etc.
In traditional ...
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What is the mean of random effects?
Say, I have a mixed model: y = x + y + x:y + (1 + x * y | participant)
What would be the mean of the random effects? Do they fluctuate around 0 or the fixed effects?...
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Lack of within-cluster variability
I am working on patients' data. I want to do multilevel logistic regression. The cluster is hospital, exposure variable is treatment (A, B, C), and independent variables include sex, age and others. I ...
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What is the difference between hierarchical modeling and setting a (fixed) prior on a parameter?
I was reading through Chapter 11 of Data Analysis using Regression & Multilevel Models, and was confused by a slight variation of a simple hierarchical model posed in the text.
Lets say I have a ...
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1
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41
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Longitudinal analysis of peer effect
I am working with hierarchical data (2 repeated observations on children nested within households), obtained from a RCT with 2 treatment groups. The primary goal of my analysis is to see whether the ...
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The problem of double adjustment of p-values in multilevel models with categorical predictors
I have a set of around 30 multilevel models which have the same predictor variables (and the same cluster variable), but different outcome variables. Since there are so many models, I want to perform ...
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How can I regress group level outcomes on individual characteristics?
I am studying the effect of player characteristics on their team win rate (< 1). Because players are grouped in teams of 10, they share the same win rate. The goal is to predict team win rate from ...
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