Multilevel is too generic. Please consider using `multilevel-analysis`, `mixed-model`, or `hierarchical-bayesian` tags instead.
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15 views
Multilevel time series vs. multilevel n-1 vs. case series design
I am carrying out a pilot intervention study with no placebo (so intervention only) with about 5-10 participants. Now I am wondering what will be the best statistical technique to use:
multilevel ...
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22 views
Variance explained in multilevel model - why based on covariance parameters & not information criteria (-2LL)?
In logistic regression, using Hosmer Lemeshow's approach, the effect size or variance explained is the amount of reduction in -2LL of the developed model (which equals the chi square statistic of the ...
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1answer
85 views
Mixed-model ANOVA vs multilevel modelling
Is mixed model ANOVA the same as multilevel modelling? If so, how do they differ? I am trying to compare inter- and intraindividual differences and not sure which one is the better approach.
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28 views
Interpreting interactions in multilevel model
I'm running a rather simple multilevel model in which I have two variables interacting at level 1. The interaction term is significant, but I'm not sure how to interpret it properly. I am familiar ...
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44 views
Modeling spatial correlations with multilevel data
I have ~5M records of spatial polar coordinates (r and theta). These 5M records are from 400 different 'locations' that I have ~150 variables for (no NAs). I also have 1 binary variable used to flag ...
2
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1answer
84 views
Multilevel bayesian with AR1 correlation structure
How do I fit a bayesian multilevel model with with AR(1) correlation structure?
I am trying to teach myself bayesian modelling and I am wondering how you could specify a multilevel model with an ...
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88 views
Multilevel, repeated measures with mediators and moderators in R
I'm having difficulty running analyses on my dataset, and was hoping someone could help. Here's the rundown (NOTE: the performance DV is the only DV strictly at the group level)
Approximately 85 ...
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1answer
207 views
Interpreting interaction effects in a multilevel model
I conducted a multilevel analysis using repeated measures across four time points. The model contains intercept, linear slope and quadratic slope. I am interested in examining the extent to which ...
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47 views
Is multilevel analysis with aggregation terms the best approach for this situation?
My research model has two levels of dependent variable, at the organizational level and a predictor variable at individual level. I have 500 answers from 5 middle managers (in each firm) in 100 firms ...
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1answer
278 views
Dealing with a categorical variable that can take multiple levels simultaneously
I recently posted a question with many parts and I'd like to focus in on just one issue that I didn't emphasize in the original post.
My data is a list of records, each one representing an ...
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277 views
How to implement credible 95% interval for median odds ratio using JAGS?
As described in Merlo et al (J Epidem Comm Health 2006), the 95% credible interval for MOR is calculated using MCMC. MOR is defined as $\exp(\sqrt{2\sigma^2}\times 0.675)$, where $\sigma$ is the ...
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0answers
193 views
How to check and correct heteroskedasticity in a multilevel model?
I've conducted an experiment in which we have registered a physiological measure (FR) of 30 participants in two different conditions. In each condition, I registered the measure in 20 time points, ...
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168 views
Fixed effects contrasts in multilevel model
I'have fitted a mixed model in SPSS with fixed and random effects, and I would like to know what do the Fixed effects contrasts (type III) mean... In my model they are significant (e.g F=23.9; ...
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1answer
174 views
Data standardization in a repeated measures multilevel model
We have conducted a repeated measures experiment in which we have registered the response time (RT) of each subject in 21 trials in each of 2 conditions. I have some questions related to the best ...
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0answers
225 views
Covariance matrix in multilevel repeated measures model
I'm trying to fit a multilevel model for a repeated mesures design with three levels:
Sujects - conditions - trials. Each subject pass the test in two conditions, and there are 21 trials in each ...
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1answer
182 views
Estimating adjusted rate ratios for categorical independent variable measured only as population percents
I have counts of people with a condition, by age (5-year groups), sex, and area (100-200 areas).
For each area, I have:
estimated population by age (5-year groups) and sex,
estimated population ...
