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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0answers
30 views
Difference between GLM with intercept of subject VS repeated-measures ANOVA? [SAS code]
I've spent days trying to determine the difference between these two methods, which, as best I can tell, represent the univariate and multivariate approaches to a within-subjects design. Can anybody ...
1
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0answers
48 views
Possible to create random slope model with fixed intercept in SPSS? [migrated]
I'm aware that it's pretty unusual to assume random slopes but fixed intercepts, and that it is not ideal for me to be using SPSS for this task. However, I'm doing this analysis in a teaching context ...
0
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1answer
30 views
What does the change in intercept mean if you allow for clustering in your data?
When I estimate a logistic binomial regression with an allowed to vary effect on a second and a third level, the overall intercept represents the average log-odds for any level one unit in any higher ...
1
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0answers
35 views
How do I set up a multivariate hierarchical multiple linear regression in R?
I have two continuous DVs (measurements taken on individual fish), one continuous individual level IV (fish's size), and two site-level IVs (PC1 and PC4). Sites are either take or no take. There are ...
3
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0answers
99 views
Multilevel modeling of experimental data with repeated measures in the same condition of factorial experiment
I'm struggling with modeling some experimental data using the lme4 package in R, and would appreciate input.
My experimental design is as follows: subjects ...
1
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1answer
39 views
Sample size and power calculation for randomized cluster study
Stuck at a pretty weird research design and would like to get some input on how to go about calculating power.
A researcher would like to randomize four groups into four different interventions (one ...
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0answers
26 views
Calculating HPD for marginal effects of interactions of lmer models
I am fitting a model with lmer, using the following code:
...
0
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0answers
15 views
How to adjust for cluster effect in bivariate analysis?
I am wondering whether people should adjust for cluster effect in the bivariate analysis in a multilevel data? For multivariate analysis, we adjust for the cluster effect using logistic regression ...
2
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2answers
68 views
How do I setup a model with hierarchical structure using lmer in R?
I am trying to isolate the important predictors for my response variable "Y". I know that "TL" (which is an individual level predictor) affects "Y", and now I want to determine if adding the site ...
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0answers
20 views
Preparation of categorical data for hierarchical clustering
I would like to use R to perform a hierarchical clustering of data that looks like this:
L1 L2 L3
F1 p pr r
F2 p NA r
which is supposed to ...
1
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1answer
62 views
How to prove that Manova is a special case of mixed models?
I am writing my master's thesis in quantile multilevel regression.
My professor all of a sudden decided to change the subject of my thesis into something that could be called "quantile multilevel ...
1
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1answer
32 views
Appropriate Analysis for ordinal variable, repeated 4 times under different conditions, by the same 2 raters
I am doubting myself on which analysis to run for the following:
18 participants were evaluated at 4 time points with different conditions at each time.
They were given scores (on a discrete visual ...
0
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0answers
37 views
Do Cross-level interactions must include the constitutive terms in the 1st level?
I have an equation like the following in the first level:
$$Y = b_0 + b_1X_1$$
And in the second level, I have a variable $X_2$ which effect only makes sense on $b_1$, not directly on the mean of ...
0
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0answers
28 views
How to do Empirical Bayes Estimation of HLM parameteres in R?
I am modelling the impacts on students' achievemens using HLM (2 levels only), with the lme4 package in R. I would like now to estimate the Empirical Bayes Estimates and the Empirical Bayes Grand ...
0
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0answers
26 views
Two IVs (schools) and 3 IVs (grade levels in each) where there are 2 DVs (math and reading scores)
Is MANOVA the correct test? I am looking at 3 grade levels in each of the two middle schools. I want to compare the standardized scores (reading and math) of students in each grade level to the same ...
1
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1answer
78 views
Which statistical technique to use
I would like to compare group means among 4 groups and analyse changes in their characteristics over time. I have a panel data set which is unbalanced. My sample sizes are not equal and therefore ...
1
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1answer
50 views
Estimation Technique
My panel regression model is as follows:
$$Y_{it}= PS_{it}+PF_{it}+EF_{it}+ e_{it}$$
where
$i$ : country
$t$ : year
$Y_{it}$ : GDP per capita
$PS_{it}$ : Political stability
$PF_{it}$ : ...
3
votes
0answers
38 views
Modeling pass rates for departments and courses within a school
Suppose I have a regression model, for example a logistic regression model, which provides a score between 0 and 1 reflecting whether or not that a student will pass a course given certain variables:
...
1
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0answers
46 views
Time Series Data with Varying Start and End Dates
I've done some research and it doesn't seem this question has been directly answered. I have a situation where the outcome variable is measured monthly from 1975-current and then multiple predictors ...
1
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0answers
51 views
Pooling asymmetric confidence intervals for proportions?
I have several measurements of proportions (values in [0, 1]) $\theta_1,...,\theta_n$, each with an (asymmetric) 95% confidence interval. The $\theta$'s are repeated measurements of the same variable ...
0
votes
0answers
43 views
standard error of the mean for clustered data
I have a dataset with clustered data (observations within groups) and would like to make some descriptive plots.
Now, I am a little bit lost on how to present the dispersion of the data (what kind of ...
1
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0answers
39 views
What model should I use in this situation?
I have income based on zipcode from US census data, I think they also provide income based on gender for whole of US, income based on age for whole of US, and income based on zip code. Now I need to ...
1
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0answers
57 views
How to approach multilevel model?
I have kind of a general question, and am hoping someone can point me in the right direction.
I'll set up a fake example problem.
You have a length $10$ x $1$ column vector $\vec{x}$ and a $10$ ...
1
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0answers
31 views
Does the independence assumption interact with the generalizability of results in hierarchical designs?
A friend recently posed to me the following problem:
Is it possible to do a Chi-square on test results for a group of participants to determine if they made more of type A errors or type B errors?
I ...
2
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0answers
31 views
Multi-Level Framework for an Evalution Design
This is my first time posting here, so please forgive me if I am not following some form of etiquette.
My question is in regard to the following evaluation design:
We are examining the impact of ...
2
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0answers
68 views
random effect or time series model?
I'm modeling longitudinal patient level health records data which will have the following structure:
\begin{equation*}
\text{Prob}(Y_{it}=1 \text{ at time } t \text{ and member } i)=\beta_{i0} ...
2
votes
1answer
58 views
Fitting HLM models with Heavy-Tailed distribution: robust aproach to lmer?
I've been using package lmrob in R to estimate models with heavy-tailed distribution of the residuals, which I cannot correct even with transformations of the dependent variable.
I was now planing to ...
1
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0answers
55 views
Estimating individual-level outcome probabilities given from group-level training data
Given multi-level data, I'm interested in estimating member-level outcomes when only group-level outcomes, along with both group- and member-level predictors, are known. I'm lacking in statistical ...
2
votes
1answer
263 views
Clustered (multilevel) data and fixed effects
I have a cross-sectional data set with about 8000 observations on child obesity (eg BMI). This data was collected in 8 countries and within schools (about 200 schools), i.e. observations are clustered ...
1
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0answers
66 views
Statistical Test for Differences in Groups Based on Multivariate Function/Map
I've recently run into an issue where I am trying to test for a statistical difference between two groups, where each element of a group is itself a data object. For any pair of objects, I can ...
0
votes
0answers
40 views
Specification of crosse-level effects on main effects of interactions terms in 1st level in HLM
I come to you this time for a theoretical question on HLM, on how to specify the cross-level effects when we have interaction terms in the level-1.
Although I have been finding interesting material ...
0
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0answers
97 views
Details on specifying random parameters in 3-level HLM in R
I am used to fitting 3-level HLM with HLM software, but now I am moving to lme or lme4, from package nlme in R. Unfortunatelly, though, I am struggling a little bit with the proper ...
0
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0answers
48 views
Is it possible to estimate non-nested levels in a multilevel model in R?
I have a research data with 3 levels of agregation: level1 is the individual, level2 is house area and level3 is school.
This means, the levels are not nested in the usual way (level1 within level2 ...
1
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2answers
70 views
Nesting / hierarchical modeling in a pre-post study
We are conducting a study which has a pre-post design. The unit of the study is the outpatient visit. In each visit, we study how patients and physicians interact.
Each physician will see between ...
0
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0answers
41 views
Using aggregated categorical variables in multilevel model
A student is running a 2-level MLM with aggregated data by month (L1) nested within hospital units (L2) in a large hospital. Instead of using mean age of RNs at L1 (average age of RNs) as aggregate ...
0
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1answer
50 views
Data analysis for stratified data
I have a sample of 300 companies classified according to different economic activities. For example, computer parts comprises 20% of the sample, medical services 5%, wood processing 15%, etc.
In ...
0
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0answers
75 views
Multilevel calibration curve in jags
The problem
I am trying to fit a calibration curve from known x and y with jags. I would then like to predict new xes, based on the measurement of new ys. For this, I am following Hamada et al. ...
0
votes
0answers
33 views
Does it make sense to include higher level predictors when there is no higher level variance?
I want to test the relative importance of incident, victim and neighbourhood characteristics on the probability of a crime being reported to the police. I use a three-level random intercept logistic ...
1
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2answers
241 views
Data visualization from hierarchical clustering
I have data from questionnaire from school. 35 questions are various questions (influence of friends etc.)
Possible answers for 35 questions are "definitely yes", "mostly yes", "mostly no" and ...
0
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0answers
123 views
multilevel-model, lmer()-spelling and interpretation?
I m working on a piecewise linear growth model and I need help to understand how to write my lmer() code and how to interpret the ...
3
votes
0answers
48 views
Nesting, sort-of: Multiple observations mapping to a single DV measure?
This is a made up example, but it gets to a point I am trying to figure out.
I know that you can use a nested model if your IVs are collected in clusters -- for example, if you want to model the ...
1
vote
1answer
144 views
M-PLUS and HLM 7 for Hierarchical Linear Modeling
Many of my colleagues are considering using the M-PLUS package to carry out Hierarchical Linear Modeling, rather than the HLM 7 package. Both packages are designed by very well respected figures in ...
4
votes
1answer
347 views
Between / Within-Subjects Analysis (with multiple dependent variables): Multi level expert around?
I have the following experimental data and desperately lack expert advice:
Of a total of 60 Subjects, 20 are randomly assigned to one of three conditions (1X3) during treatment
Each subject ...
1
vote
1answer
164 views
Two-level hierarchical model using time-series cross sectional data?
A question from someone who is fairly new to hierarchical modeling, and I'm looking for the best approach within R, preferably with the package lme4, MCMCpack, or rjags using a BUGS document. I'm ...
0
votes
0answers
118 views
SPSS Mixed and HLM: Inconsistent Results
I have encountered at least one instance in which SPSS Mixed Models and the HLM package (Raudenbush and Bryk) have given me different parameter estimates for the same three-level hierachical model. I ...
1
vote
0answers
47 views
Using an aggregated outcome variable as contextual in multilevel analysis
A main hypothesis in our study is that people’s decisions (our dichotomous outcome variable) are influenced by how people in their social context have decided in the same matter.
In a multilevel ...
1
vote
1answer
58 views
Calculating level 2 variable based on mean of level 1 variable with multilevel model in R
I have 299 surveys collected from 299 individuals working at 26 different locations. I want to understand how the location specific features relate to the individual survey scores. The only inference ...
0
votes
0answers
78 views
Best way to classify hierarchical data
First of all, I want to be clear that I am new to AI, although I've learned a bit about classification.
Let's say I have a hierarchical sets of words:
...
5
votes
2answers
154 views
Hierarchical models for multiple comparisons - multiple outcomes context
I've just been (re-)reading Gelman's Why we (usually) don't have to worry about multiple comparisons. In particular the section "Multiple outcomes and other challenges" mentions using a hierarchical ...
1
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0answers
199 views
How do you assess a three-way interaction in a generalized multi-level model?
I am unsure which statistical tests I should use in order to follow-up my three-way interaction. I used to split my file and run the analysis twice per group, but as I read in the paper by Hayes & ...
