Statistical methods appropriate for the analysis of data sets comprising several levels of hierarchy of units of analysis (e.g., students nested in classes nested in schools; observations nested in patients nested in hospitals). If you can refer to more specific models like mixed-model or glmm, ...

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5 views

Multilevel Analysis predicting level-1 outcomes with only level-2 factors, no level-1 factors

I am working on an analysis where I have 92 independent observations of TRAVEL, but (due to confidentiality constraints) the contextual variables have been aggregated to 18 clusters of 5 or 6 ...
2
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0answers
53 views

What can a Multilevel Model do that Linear Regression can't?

In short: I wonder when I would ever want to use a multilevel model as opposed to a linear regression with appropriate structure. In detail: When I look at Wikipedia, I understand that multilevel ...
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0answers
63 views

Hierarchical linear modeling of Brinley plot data

My question pertains to using hierarchical linear modeling / mixed modeling using lme4 in R on Brinley plot data. I have experience with R, but no experience with HLM, and limited experience with ...
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0answers
6 views

Analytic Hierarchy Process (AHP) - factor weight score

As title mentioned, how to determine the 'scale of relative importance' point for factor weight score? Besides, I have read some example of ahp saying there are 1-9 point, 1-5 point (1,2,3,4,5) and ...
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0answers
15 views

Fitting a cross-classified variance components model with three response variables in nlme

I am attempting to fit a multivariate variance components model with repeated measures on three response variables. I am using the lme function in the nlme package in R and have run into some ...
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0answers
12 views

Multilevel modelling in JAGS: Unable to resolve node

I am building a multilevel model, where the time is on the first level and countries are on the second level, in JAGS (JAGS version 3.4.0). I want to build varying-slope-varying-intercept model, like ...
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0answers
28 views

Which meta-analytic method should I apply to my data set?

My dataset I have a dataset where Effect sizes are nested in Testing occasions, which are nested in ...
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0answers
10 views

Multilevel modeling of time series coss sectional data with a binary outcome using glmer

Background Although my data should have a multinomial dependent variable, I have settled for a binary as I could not understand too much of MCMCglmm. The data is a time series cross sectional, so am ...
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0answers
10 views

Multilevel vs clustered standard errors [duplicate]

I have some data containing student & school-level information (each record is a student but there are binary school variables such as charter). Can I use ...
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1answer
32 views

Why no talk of n-level meta analyses instead of three-level meta-analyses?

I have a data set that I'm going to use for a meta-analysis that has a lot of dependencies between the effect sizes. Because of this, I've started to look into how people normally handle this, ...
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0answers
6 views

Using qgraph on multilevel data

I'm interested in generating correlation network maps, and have come across qgraph in R. While the program is straightforward to use with cross-sectional data (and no clustering), I was wondering if ...
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1answer
30 views

Variance of Level 2 random effect depending on value of variable in highest level (Level 3) in Hierarchical model

I was reading material on hierarchical models, especially 3 level hierarchical models. One of the examples I found was having the hierarchy Hospitals-Wards-Nurses. Only 1 measurement per Nurse. So ...
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31 views

Is controlling for cluster good enough in an analysis with a clustered sample?

I'm trying to understand how sampling design affects analyses and I'm a little confused about how to adjust for clustering. From what I've read, when you have a clustered sample you are supposed to ...
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0answers
10 views

Time-Series Cross-Section or Multi Level

I trying to make a quite complicated model (for me at least) which i cannot figure out myself :/ I have a dependent variable (level of production) (and perhaps more than one - different types of ...
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0answers
9 views

3 level random intercept model with stata: standard errors calculation f

I am using xtmixed in Stata 12 to estimate a random intercept model. I have overtime observations (8 years) for 250 regions which are nested in 28 countries. The estimates for the standard errors at ...
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0answers
12 views

sample size for multi-arm randomised control trial measured over time

I would really appreciate any advice on calculating a sample size: This study involves looking at a specific disease, then performing a randomised control trial in two different geographical areas ...
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0answers
13 views

Multilevel Power of a Mixed Model

For my dissertation I have data from 57 employees that responded the same survey on 11 occasions (i.e., 11 observations per person for each variable). All variables I am interested in (and are ...
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0answers
29 views

Multilevel Principal Component Analysis

I needed to run a PCA on a dataset with a multilevel structure. My question is similar to the one asked here: Principal components analysis on nested data In my case, however, the two levels are ...
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0answers
7 views

Multilevel logistic regression: significant group-level predictor, but not better model fit

I ran a multilevel logistic regression to examine whether group level characteristics predict dietary status above and beyond individual characteristics using glmer of lme4 package in R. I had 4 ...
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0answers
30 views

How to perform a nested or hierarchical ordinal logistic regression in SPSS

I have one outcome/dependent variable that can be ordinal or nominal and 3 independent variables. I have learned so far how to perform ordinal and multinomial logistic regression in SPSS between a ...
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0answers
11 views

How to mitigate the hierarchical error propagation in tree-structured classification

Suppose we have a multi-class classification problem, where the number of classes $K \geq 3$ We use a tree structure of multiple SVMs to divide and conquer the problem, with one example in the figure ...
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0answers
21 views

Controlling for variables with lmer (R)

I am using lmer (from the lme4 R package) on a dataset with 6 variables: SubjectID, ImageID, Category, Brightness, Contrast and ResponseTime, where the last three are continuous variables. (and yes, ...
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1answer
51 views

Three-level partially nested model

I am modeling change over time in group psychotherapy subjects using R and lme4. My data have the following structure: subject (id) time (code 1-10 for equally spaced repeated measures) outcome (for ...
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0answers
39 views

nlme - 3-level-design: How to specify random factors?

I am a little bit confused about how to operationalize the random factor in a 3-level design. I think I have 3 level design. Or is this already wrong? Level 3: Time of measurement (variable name: ...
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4answers
96 views

“Unidentified” hierarchical model in brms/stan - where to go from here?

I am evaluating an intervention in which participants are grouped in teams and each participant fills in a survey before and after the intervention. As such, the data presents a classic multilevel ...
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0answers
7 views

Using additional data to improve random effect estimates in multilevel model

I've got a set of measurements (axonal transport measurements for individual axons nested within animals in two treatment conditions: drug vs control) which I currently analyse using a random ...
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0answers
11 views

Cross-classified multi-level model - application to marketing

I am working on predicting whether an individual customer will respond favourably to a marketing campaign (yes/no). I have data about customers, and their responses to previous campaigns. If possible, ...
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32 views

How to analyze dyadic repeated measures with categorical moderation?

I want to test the effects of the emotions expressed in private online chats between males and females (dyadic chats) on the female's satisfaction from the chat. And to test how some factors may ...
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0answers
13 views

What is the difference between a cross-level Interaction and a random slope in a mixed effect model?

Can someone please articulate the differences between a "cross-level interaction" and a mixed effects model? Two areas that are unclear: - Are all random slopes the same as "cross-level ...
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2answers
107 views

Alternatives to multilevel model with log transformed outcome

I'm working with linear mixed-effects model in Stata. Dataset has three levels of 100k observations, nested in 500 regions, nested in 70 regions. Currently my modelling strategy is to use ...
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0answers
32 views

Multilevel models with dynamic membership

I would like to estimate a 3-level random intercept model. I use Stata for the estimation, where it is done by using the xtmixed command. In this model, company ...
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1answer
31 views

Select and aggregate time series based on selection information of a second dataset

General problem: I have two datasets in r and I do not know how I can calculate information across groups of time series in one dataset based on selection-information of another dataset. The details: ...
1
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1answer
49 views

What is the right mixed effects models for data that is both nested and not?

I have a dataset that includes nested observations as well as repeat observations that are not nested (I'm not sure this is the best way to describe it, but stay with me). Here are the specific ...
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0answers
31 views

Questions about mixed model design with repeated measures/nesting/incomplete design

I have data from a incomplete factorial experiment with repeated measures and potential nesting and am trying to figure out 1) the right way to design the mixed model to analyze the data, and 2) how ...
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1answer
29 views

If I have a nested multi-level model, how can I find the conditional expectation easily of the middle variable?

Suppose I have the following model: $$ y_i | x_i, V_1 \stackrel{ind}\sim N(x_i, V_2) $$ $$ x_i| V_1 \stackrel{iid}\sim N(0, V_1) $$ $$ V_1 \sim Unif(-V_2, \infty) $$ where the data is $y = (y_1, ...
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1answer
25 views

Nested Anova vs Multilevel Linear Models

I am working on a problem which revolves around individual axons / nerve cells in two treatment conditions. All relevant questions are clearly on the axon level, and dependent on properties (size, ...
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0answers
6 views

Multilevel modelling - similar level1 and level2 coefficients, but small level 2 variance

I have a random intercept MLM with healt predicted from individual level trust and aggregate trust at the neighbourhood level. The coefficient for individual level is .235 and for neighbourhood level ...
0
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1answer
43 views

pymc hierarchical model not varying betas

I'm trying to train a hierarchical logistic regression for binary classification with four predictors. Here's the code that I'm working with: ...
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0answers
8 views

Model comparison with chi-square difference test and BIC

To my understanding, BIC value is based on P(model | data). In HLM (or, MLM) framework, researchers often compare between models. For example, Model 1 has one predictor (Predictor A), and Model 2 has ...
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0answers
23 views

Dummy-coded moderator (multi-level): Reversing code changes interaction results

I have a diary-study (multi-level data) and hypothesized an interaction effect on level 1 (day-level). The moderator is a dummy-coded variable that was measured at day-level (*eat vs. not eat), the IV ...
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1answer
27 views

Multi-level: cross level interaction model

I have a question regarding multi-level analysis. I follow the paper of Agunis & Culpepper (2013) on best practices in multi-level modelling. In the last step when I put interaction term of L1 and ...
4
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1answer
28 views

Does an n-way ANOVA have n independent variables?

I'm trying to swot up before my next lecture of ANOVA models but the n-way has me a little confused. Ended up asking myself this question "Does an n-way ANOVA have n independent variables?" but I ...
1
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1answer
53 views

Which Test to check relationship between age (ordinal independent variable) and nominal variable (type of car)

I have two variables age and type of car bought. Age is in groups. Eg. $<25$, $26-35$, $36-45$, $46-55$, $>55$. Car is 1. American, 2. ...
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0answers
6 views

Coding and treatment of time in a longitudinal multilevel model with irregular measurement occasions

My data consist of measurements taken at various time points within various locations in a city. If a measurement was taken in a place, it was taken once a year, so the measurement effectively ...
2
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0answers
32 views

Is it possible to use LASSO regression with multi-levlel data?

I have real-time monitoring data where participants report on a variety of variables four times per day for a month. Is it possible to use LASSO regression (e.g,. glmnet r package) with this data? I'm ...
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0answers
15 views

Density of trivariate normal distribution

I have correlated three normal distributions (y1,y2,y3) And, I want to have density function of p(y1,y2>0,y3>0). How I can get the closed formed density function of that? (three normal distributions ...
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0answers
5 views

Multilevel model for contextual variable

I want to know if the socioeconomic level of the municipality of residence has an impact on the probability of pursuing long studies. I have been told to use a multilevel model for that, because ...
0
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0answers
9 views

Analysis of repeated measure on same individual with mixed model

In our study we were have collected data from 150 subjects every month (12 times) from each person on food intake and sleeping duration at night. We were interested to assess whether i) there is ...
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0answers
15 views

Logistic regression on clustered presence observations

Edit 4/5/16: added example As a simplified example, in social science surveys a single household may provide 1 to $n$ responses to a questionnaire (assume a single question); say $n = 5$. I have read ...
2
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0answers
50 views

Interpreting the variance of random effects in Mixed Linear Models

When fitting the following simple model, using the 'lme4' R package and including a fixed and random slope term, I get: ...