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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14 views

2 categorical IV and 1 ordinal DV — what test to use?

I'm a complete newbie when it comes to statistics, and I'm struggling to decide on the design for a statistics test, so I was wondering if someone might be willing and able to help me out please? ...
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0answers
21 views

Identifying statistically significant categorical variables with rma.mv

I'm running a meta-regression/multi-level analysis that contains only categorical variables. The printout of the data is as follows: res.fe ...
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1answer
19 views

Three-level mixed effects model with crossed effects in Stata [on hold]

I have a dataset of individuals that includes their wage and occupations for several years. The data is in panel (long) format (xtset id year, yearly). I want to ...
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1answer
34 views

Model selection/multi-level model with metafor package

I'm attempting to conduct both a model selection and multilevel model analysis with the metafor package. Unfortunately, the data I am working with does not have any control group, only a response rate(...
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0answers
33 views

Correlated random slopes and intercepts but non-significant random slopes. Can you have one without the other?

I am running a multilevel model. When I compare the random slope without a correlation (Model 2) model to the just random intercept model (Model 1) it is not significant (via likelihood-ratio test). ...
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1answer
22 views

Statistical significance changing in hierarchical regression?

What does it mean if, performing hierarchical linear regression, significance of a variable changes? So, in one step, statistical significance of a variable is 0.006, but in the next one (after adding ...
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1answer
51 views

Is hierarchical regression appropriate for running a regression using multilevel dependent variable?

I have a paper submitted to a journal and one of the reviewers suggested me to conduct a hierarchical logistic regression. I know how to conduct multilevel regression analysis by clustering the data ...
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1answer
37 views

Repeated measures but not longitudinal: A case of multivariate LMM or repeated measures LMM?

I am trying to get my head around the question of what kind of model is most appropriate for the following data: Every participant rated 14 written statements in terms of various aspects (e.g. ...
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0answers
43 views

multilevel model with categorical outcome in R?

I am examining social interaction data in individuals within two groups. Each social encounter has been coded to one of 4 categories, and these encounters are nested within individual, whom are nested ...
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0answers
28 views

Investigating main effect after controlling for guessing

I'm doing a multilevel logistic regression with the dependent variable being word learning scores (Score). There are two independent variables: Condition (Experimental / Control) and WordType (Cognate ...
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118 views

Writing out the mathematical equation for a multilevel mixed effects model

The CV Question I'm trying to give (a) detailed and concise mathematical representation(s) of a mixed effects model. I am using the lme4 package in R. What is the ...
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0answers
8 views

Can I use hierarchical logistic regression for a dependent variable composed of multiple levels

My dependent variable is disclosure of a company. It is measured using an index that is composed of 50 questions scored "0" or "1" and three sub-indices (financial disclosure, social and environmental ...
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0answers
9 views

What's the most appropriate way to derive and validate a model with hierarchical data

I am working on a model to predict the risk of some outcomes and could really use some advise: Let's say we have x number of patients, each patient have anywhere between 0 and y number of visits (...
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0answers
14 views

Fixed effects and Group mean centering

I have trouble understanding fixed effects models. I thought that they take out across groups variation by subtracting group-specific means from the values (which in my eyes would be group mean ...
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0answers
12 views

Modeling times-to-event when units may be nested within units

I have a modeling problem and would be grateful if anyone has ideas on its solution. The dataset I am using consists of time-to-event observations for organizational units within government ...
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1answer
30 views

Multilevel modeling sample size

I have a question regarding multilevel modeling. I am building a 3-level model: 1st level yearly observations (variables which vary between years), 2nd level variables on company level, which do not ...
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0answers
12 views

Analysis techiques for logical topologies

I'm working in the area of analysis of logical computer systems (e.g https://goo.gl/images/KyLCCo). Specifically in the field of anomaly detection of these systems. I was thinking about the field of ...
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0answers
42 views

Multiple membership model random effects specification

We are looking at tournament performance of chess players over time and have a question about the random effects modeling for this. Specifically, every chess player belongs to at least one club, but ...
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0answers
15 views

Calculating error on subject-level predictions in repeated measure study

Introduction Suppose I observe 30 subjects attempt a given task in 3 separate occasions and I give them a score. To analyse each subject's performance over time, I can use a multilevel / mixed effect ...
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0answers
19 views

Multi-level analysis: Concordance between two measures over time: Smaller b equals greater concordance?

I have a rather conceptual question. I am investigating concordance between two response levels, namely mental and genital sexual arousal, in women. We are interested in estimating the degree of ...
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1answer
32 views

Interpreting group-level random effects of a multilevel model

I'm working with three level models in Stata. Example of one would be: ...
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0answers
10 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 ...
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0answers
59 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
73 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 lme4....
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0answers
10 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
17 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
19 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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31 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
11 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 ...
3
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1answer
35 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
8 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
33 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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0answers
34 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
15 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
11 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
16 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 ...
0
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0answers
17 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 ...
1
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1answer
50 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
8 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
42 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
12 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
24 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, ...
1
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1answer
56 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 ...
0
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0answers
46 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: ...
2
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4answers
129 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
8 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
13 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, ...
0
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0answers
33 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 ...
0
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0answers
14 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 interactions?"...