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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1answer
34 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: ...
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2answers
122 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 ...
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2answers
49 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 ...
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0answers
26 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 ...
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64 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 ...
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0answers
12 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 ...
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0answers
16 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 ...
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0answers
10 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 ...
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0answers
35 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. ...
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0answers
12 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 ...
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0answers
41 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
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1answer
44 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})= ...
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0answers
111 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 ...
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1answer
81 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 ...
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1answer
32 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 ...
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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
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1answer
24 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 ...
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1answer
50 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 ...
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1answer
94 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 ...
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1answer
51 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 ...
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0answers
30 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 ...
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0answers
45 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
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1answer
37 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 ...
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1answer
35 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). ...
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0answers
22 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' ...
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1answer
122 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, ...
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0answers
57 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 ...
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1answer
19 views

Interpretation of correlations in multilevel anallysis [duplicate]

In the following multilevel analysis in R (taken from here, page 57): ...
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2answers
67 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 ...
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1answer
44 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
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1answer
46 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
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1answer
38 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
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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
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0answers
36 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 ...
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0answers
29 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 ...
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1answer
51 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 ...
1
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1answer
100 views

Random factor nested in two fixed factors

I have read Random effect nested under fixed effect model in R, but I have a doubt: My data is on germling survivorship, I have Temperature as a fixed factor (2 ...
0
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0answers
23 views

Hierarchical Linear Modeling - Summation in Level 1

I'm currently trying to write a Level 1 model for the following research question. RQ: Does the school-level relationship between race and the proportion of reading proficient students (outcome) vary ...
0
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1answer
36 views

Multilevel Modeling and multiple testing

I am interested in working out the correct way to correct for multiple testing in multilevel models for longitudinal data, where I am investing a potential interaction between two predictors. My ...
2
votes
1answer
87 views

Multilevel modeling: longitudinal data with within-subjects factors

I have a data set with experimental data that I am analysing with multilevel modeling. Data are structured as follows: 24 Sessions 6 Subjects per Session 10 Rounds per Subject There was one ...
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0answers
42 views

ANOVA, unbalanced designs, missing data, and multiple comparisons

I am having several problems with my dataset and how best to analyze it. I have measured a series of plant phenology characteristics (with a seperate model for each one - I do not want to combine them ...
0
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0answers
10 views

Which model for survey analysis across countries and time

I'm analyzing data from a political opinion survey. The survey is administered once a year to roughly 1000 citizens from 18 different European countries. In a first step, I am interested in gauging ...
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0answers
55 views

How to run a multiple membership hierarchical model in Stata?

I have a dataset of educators and the courses that they designed. My original thought was to do a multilevel model where courses are nested within educators, and the outcome is whether the course ever ...
1
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0answers
109 views

simulate multi-level data for repeated measurements

I am trying to simulate multi-level data for repeated measurements. My design includes just one within subjects factor, no between-subject factor. Consider the case of three treatment conditions with ...
2
votes
1answer
27 views

Is there a limit to the number of time varying covariates in a discrete event history model

The case: I am investigating the impact of various predictors on the odds of migration using a discrete-time event history model within a multilevel framework. The outcome variable is dichotomous ...
2
votes
2answers
132 views

Multilevel models including random slopes: how to calculate variance

In a linear mixed model, you take the covariance between data into account by adding a random intercept per cluster. For example, you measure the effect of a drug campaign over time on students, and ...
2
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0answers
43 views

Formulating a hierarchical model in educational measurement

I'm having some trouble positing a model in levels for the question below. Question: How does the percentage of students born in the United States at the school level moderate the effect of the use ...
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0answers
55 views

question about multi-level modelling with nested data (R/Stata/SPSS)

I have a dataset composed of observations taken from 16 separate experimental panels, each nested into one of 4 conditions (Treatment A Level 1, Treatment A Level 2, Treatment B Level 1, Treatment B ...
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2answers
142 views

Is multilevel modelling simpler, more practical, or more convenient using Bayesian methods or frequentist methods?

In this community wiki page a twice-upvoted comment asserted by @probabilityislogic asserted that "Multi-level modelling is definitely easier for bayesian, especially conceptually." Is that true, and ...
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0answers
56 views

Should I bootstrap at the cluster level or the individual level?

I have a survival model with patients nested in hospitals that includes a random-effect for the hospitals. The random effect is gamma-distributed, and I am trying to report the 'relevance' of this ...