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, ...

learn more… | top users | synonyms (2)

0
votes
0answers
26 views

Need help setting up multilevel logistic regression

I am trying to see the effect of a certain intervention in schools. The outcome variable is binary. We have students within schools. Also students' age is a covariate (doesn't changed before and after ...
1
vote
0answers
6 views

Quantifying Reliability of Qualitative Testing

If a visual grading system is implemented to calculate the correlation between exterior and interior conditions (i.g., good, medium, bad), and a sample is taken from a known population to test the ...
0
votes
0answers
18 views

Confidence intervals of proportions for clustered data

I am trying to compute the proportion of "yes"'s in data that is clustered (participants within cities). If I ignore the cities, I get very nice and narrow confidence intervals. If I compute the ...
0
votes
0answers
13 views

Estimating proportions in a non-nested multilevel Bayesian model

Data: x: 1/0 successes (~ 800 data points) c: city code (1 to 78) t: "time of measurement", 1 (morning), 2 (afternoon), 3 (evening), 4 (night) The problem: I would like to estimate the ...
0
votes
0answers
14 views

Cterpillar plot in STATA using multilevel logistic model [on hold]

I have a fire incdient data that was geocoded & <3% of the data were removed. I have a variable called 'geocoded_Removed i.e. assigned as 0/1' that is nested under the variable called ...
0
votes
1answer
31 views

Undefined real result error at WinBUGS

I am currently working on my thesis and interested in estimating a multilevel differential item functioning model and I using at WinBUGS. Until I had done model check-up, there are no errors. However, ...
1
vote
0answers
23 views

Assumptions of Linear Mixed Model

I had data with repeated measurement and nested design. Conventional ANOVA requires strict control on homogeneity of variance and repeated measurement ANOVA requires assumption of sphericity. ...
1
vote
1answer
35 views

Multilevel: Can I include two dummy variables of a 7-dummy-set into a random slope?

I am calculating a two-level linear multilevel analysis. A look at the random intercept random slope model showed me a significant decrease in my model deviance if I include two dummy variables. Those ...
1
vote
0answers
14 views

How to share weights of between regression models when you learning them simultaneously?

I have many phenomenons which I want to model them as lasso regression problem. every phenomenon have it's own distinct features set. but for some phenomenons, the subset of features set are the ...
2
votes
3answers
70 views

Can I do a t-test to test significance? [closed]

I need a statistical test to determine if one group of ten classrooms with different numbers of students in each class has a class average on a test. Group two has 12 classrooms also with different ...
2
votes
0answers
17 views

Nested factors: Difference between Bayesian ANOVA and three-level hierarchical model?

I want to analyze measurements on plants and want to separate variation among plant species and plant types where plant species are nested category under plant type. The literature on Bayesian ...
2
votes
1answer
46 views

Multilevel logistic regression with a random slope(s)

I would like to specify the two-level logistic regression model with random intercept and random slope. Dependent variable: hospitalization (1) or no-hospitalization (0). Independent variables: age, ...
1
vote
0answers
31 views

Fitting a partially clustered/nested design using lmer

I have a study where clustering occurs in one condition but not the other. In the treatment group I have repeated measurements on individuals who are nested within families. And in the control ...
0
votes
0answers
19 views

Multilevel analysis. Between hospitals variance

Please help me with the multilevel analysis. Certain medical procedure is performed/not performed in hospitalized patients. The % of patients that receive this procedure varies across different ...
1
vote
1answer
37 views

Cross-sectional Regression (individual level) with a few country-level variables

I have a small sample of 50 cross-sectional firms and 3 or 4 distinct explanatory variables -- all on the individual level. No time dimension. So far, I could employ OLS (I am using Stata: ...
4
votes
2answers
131 views

Is it ok to use a random intercept model without testing for random slopes?

In university we calculated a random intercept model for two-level nested data. We compared the random intercept model with all level-1 variable with the random intercept model with all level-1 and ...
1
vote
2answers
55 views

Survey weights at multiple levels

I am dealing with some data from a household travel survey, and I have a question about how to best use the survey weights that are provided. The structure is that households are sampled, and all ...
0
votes
0answers
29 views

How to interpret 3 main effects when an interaction exists for only two of the variables?

I've been searching for interpretation guidance regarding the below problem, but all the resources I've seen have been fully crossed (i.e., all variables included in the interaction term). Below is a ...
3
votes
0answers
86 views

What does “independent observations” mean?

I'm trying to understand what the assumption of independent observations means. Some definitions are 1 "the occurrence of one event doesn't change the probability for another". 2 "sampling of one ...
1
vote
0answers
15 views

Predicting dropout in an ordered process: Cox regression, autoregressive model, multilevel modeling?

I am working on a project in which I collected data about 100 people’s steps in an ordered process. All took at least one step, with some continuing up to a fourth step. Each person either drops out ...
0
votes
0answers
17 views

Feature/Variable selection to accompany mixed models?

I am trying to conduct an exploratory/data mining analysis to discover what socioeconomic factors best predict grade-school performance in children. I have a dataset with about 50000 ...
0
votes
0answers
12 views

In non-nested models, should group indicators have seperate mean for each?

I'm studying hierarchical model using Gelman & Hill book. On pg. 289, they discuss the following non-nested model. There's a psychological experiments of pilots, with $n= 40$ data point ...
2
votes
0answers
40 views

Mixed model with lmer: Variance of residuals should give the same as level 1 variance?

I expected that the variance of residuals from a mixed model computed by, for example, lmer should give the same as the residual variance from the summary output. ...
0
votes
0answers
13 views

Complex imperfectly crossed three level model - advice on data and analysis sought

I have a question about a multi-level model. I have data from three related sources. Data on about 30 hospitals, at hospital level - things like size, teaching/non-teaching and so on. Data from ...
1
vote
0answers
44 views

Factor analysis with repeated measures

Multilevel factor analysis seems to be the technical term for factor analysis with repeated measures, judging from this abstract. To be precise, following Wikipedia's factor analysis notation, the ...
2
votes
1answer
45 views

Random intercepts as response variables: Is there a name for this method?

I'm trying to find the name of this method (and ultimately a reference). The approach is as follows: 1) Fit a mixed-effect model with a random intercept $$ E(Y_{ij})= ...
4
votes
0answers
115 views

Identification of peer/neighborhood effects in a multilevel framework

My question concerns estimation of “peer effects“ or “neighborhood effects” in a multilevel framework. The idea of such an effect is that the behavior of a household (on level-1) is influenced by the ...
0
votes
1answer
89 views

Is it possible to construct a discrete-time multilevel hazard model in R?

I'm trying to run a discrete-time multilevel hazard analysis comparable to the model proposed by Barber et al. I am attempting to model the hazard of migrating internationally using predictors at the ...
0
votes
1answer
42 views

Estimating Multinomial Multilevel Logistic Models by Binomial models

I would like to fit a multinomial multilevel logistic Model. Unfortunately I couldn't find a package that implements this. I tried Stata's ...
0
votes
0answers
17 views

Multilevel - focus on higher level

I have a data structure similar to firms (the higher level) with individuals within them (the lower level). Each firm can have any number of individuals present. I have a reasonable set of predictors ...
0
votes
1answer
29 views

How to transform time-varying covariate measure of response time in a multi-level model of longitudinal data?

I am trying to fit a multi-level model to some longitudinal data that I have. As an example, let's pretend participants had to make 10 basketball free throws, and I measured how long it took them to ...
1
vote
1answer
60 views

Specifying variable levels in multilevel repeated measures in R using lme4

I am trying to analyze a dataset in which there are three measures on patients within areal units, however I am having trouble in how I am thinking about random/fixed effects and including covariates ...
3
votes
1answer
97 views

Specification of crossed random effects model in R

I have an experiment with a design in which subjects answer four items that are of four different types based on two factors (lets call the factors letter: "a" X "b" and big: "A" X "a", resulting in ...
0
votes
1answer
70 views

After trying various optimzers, model simplification running more iterations, when fitting GLMMs, R still produces warning messages

I am trying to fit GLMM's to my data using the glmer function available in R's lme4 package. The data is available at: https://onedrive.live.com/redir?resid=1B727FC7180E87DF%21118 I keep getting ...
0
votes
0answers
34 views

Answering Research Questions with Multi-level Structural Equation Modeling (ML-SEM)

This time, I have a more theoretical than computational predicament. I have a path model that I am interested in testing on a data set with two groups. It is a very simple two predictor model outlined ...
0
votes
0answers
53 views

Significance of variance components in Stata output

This might be trivial, but I'm used to HLM7 software output and now I'm switching to Stata (xtmixed). To give an example imagine I have students (level-1) nested ...
0
votes
1answer
46 views

Adding 2nd level variable into Multi-level Modelling in Stata

I'm used to HLM 7 software and now I'd like to switch to Stata, for multilevel modelling (xtmixed). To give an example imagine I have students(level1) nested within schools (level2). In HLM I can ...
0
votes
1answer
38 views

Multilevel modeling of response time data

I'm trying to figure out how to set up and analyze the following experiment. It's a basic reaction time-type experiment with 4 independent variables (2 levels each) and 1 dependent variable (RT). ...
1
vote
0answers
24 views

Sample size calculation for multilevel, longitudinal experiment

I'd be grateful for any advice about how to do a sample size calculation for the following design. We are interested in the impact of two variations of an intervention on hospital in-patients' ...
2
votes
1answer
169 views

Difference between random effect and random intercept model

I am looking at clustered data and because I was trained in economics I tend to look at fixed effects and random effects as solutions. An alternative would clearly be multi-level modelling. However, ...
0
votes
0answers
65 views

Help in fitting multilevel model using the MCMCglmm library in R

I am trying to fit a multivariate model using the R library MCMglmm. The data I have are testscores from c.a. 4736 students from different schools. For each student, also the socio-economic status ...
0
votes
1answer
19 views

Interpretation of correlations in multilevel anallysis [duplicate]

In the following multilevel analysis in R (taken from here, page 57): ...
1
vote
2answers
69 views

Appropriate way to treat [0,1]-distributed variables in HLM

Brief intro: I'm not really sure how to appropriately treat the dependent variables in a set of hierarchical linear models that I'm trying to run. In my models, Level 1 units are children and Level 2 ...
0
votes
1answer
47 views

Multilevel model where an interaction is a varying slope

I have a multilevel problem where I want to have a random intercept and a random slope. However the random slope is the interaction of two predictors. In this case, do I also have to allow random ...
1
vote
1answer
49 views

Interpreting the mathematical formula of a mixed effect model

I am a bit confused about the function of a parameter in setting up a linear mixed effect model (hierarchical/multilevel model). This is how I understand a (random intercept and slope) multilevel ...
0
votes
1answer
43 views

Why is collinearity a problem when imputing missing values?

I'm imputing missing values using R's mice package. My data has three numeric variables and a class variable so I am using a ...
0
votes
0answers
15 views

Cross level modeling in R, different levels of predictor, moderator and outcome variable

In the research that I am carrying out I have a moderation in which predictor, moderator and outcome variable are on the different levels: predictor and moderator on within level (the data were ...
0
votes
0answers
42 views

Question about Dummy Variable in Cross Level Interaction - GENLINEMIXED (SPSS)

Hi I am running linear GENLINEMIXED in SPSS 22. What does it mean when one of the dummy variables you are using in a model is significant when one group is coded as a reference group, and when you ...
0
votes
0answers
30 views

Three-way interaction in multilevel model

I am doing a multilevel Analysis in which I test whether the interaction between two Level 1-Predictors (IV1 and IV2) is moderated by a Level 2 predictor (IV3). The Level 2 predictor is a dichotomous ...
2
votes
1answer
66 views

Hausman's test for all $\beta$s – comparing FE vs RE models

I fit several two level models in SAS using PROC MIXED: an empty model with multilevel structure (null), a model with a level 2 covariate (partial model), and a ...