All Questions
Tagged with multi-level multilevel-analysis
15 questions
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30
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Why won't my multilevel model converge in R (lme4)?
i have a multilevel model at firm and local authority district level, with both firm level and LAD level predictors. It is a binary logistic model, the outcome is presence of women on the board of a ...
- 1
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1
answer
281
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mice creates NaN and NA after imputing cluster-level variable for clustered data with maxit >0
I have clustered data with 21% missing values in the cluster variable, which was derived from a 'date' variable with similar missing data. I'm trying to impute the missing data in the cluster variable ...
- 33
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1
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182
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How does the metafor aggregate() function affect single-outcome studies in a multi-level meta-analysis?
I'm currently conducting a meta-analysis study. In my study, there are several studies that reported multiple outcomes. According to the literature, I figured out that the multilevel meta-analysis ...
1
vote
1
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69
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compare different multi level regressions
i am struggeling at the following:
My idea is to analyse the development (slope) of an output of different multi level regressions.
The output is matched in my data with 2 different timepoints.
I have ...
- 25
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1
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103
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Create a new Variable of values of another variable-multilevel regression
I am up to create a multilevel analysis (and I am a total newbie).
In this analysis I want to test if a high value of a predictor( here:senseofhumor) (numeric value - transfered into "high",&...
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1
vote
1
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35
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Restructuring 2-level data to 3-level data [duplicate]
I have a two-level multilevel data. Below is an example of it. I have two participants that reported their fruits consumption for two days.
id day apple orange
1 1 34 12
1 2 54 43
2 ...
- 11
1
vote
1
answer
235
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Multilevel R squared error in package 'mitml'
I am trying to use the package 'mitml' in R to calculate R squared measures for a multilevel model. I have tried using lme4 and nlme to specify my models. However, when I use lme4 to specify the model ...
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60
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in R, Fitting multilevel mode (linear mixed effect model) by adding variables from two different data set?
I fitted a linear mixed effect model using lme4, however, it is a hierarchical structure of data and I have two different data set from level 1 and level 2, but I was struggling to include a variable ...
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41
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How does R understand a multi level model?
I'm new to MLM both in R and in general. I have a dataset of Building permits for a couple of cities and I have created a variable counting the number of parcels with a permit. Now, I want to perform ...
- 19
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2k
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Grouping Variables in Multilevel Linear Models
I am trying to learn hierarchical models in R and I have generated some sample data for myself. I am having trouble with the correct syntax for coding a multilevel regression problem.
I generated ...
4
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669
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Estimating and plotting predicted probabilities from a multilevel ordinal logit (clmm)
I'm estimating a multilevel ordinal logit with one interaction term using clmm. The coefficients I get are interesting and statistically significant and I now want to compute and plot predicted ...
- 152
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151
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Alternative solutions to multilevel modelling due to level 2 and 3 not having enough clusters
I have been running some multilevel models on my data but have now been told my clusters are too small and I need to consider taking out two of the levels and add them in as covaraites (dummy ...
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2
votes
0
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281
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Python: Random intercept model (have to replicate R code)
I'm trying to replicate code from R that estimates a random intercept model. The R code is:
fit=lmer(resid~-1+(1|groupid),data=df)
I'm using the lmer command of the lme4 package to estimate random ...
- 73
2
votes
2
answers
195
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Reshape/gather function to create dataset ready for multilevel analysis
I have a big dataset, with 240 cases representing 240 patients. They all have undergone neuropsychological tests and filled in questionnaires. Additionally, their significant others (hereafter: ...
- 427
2
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1k
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Multilevel multinomial logistic regression with mlogit (R)
I´m trying to model a multilevel multinomial logistic regression.
I have 42 subjects with 82 observations per person. In each observation the suvjects("VP") were able to react in three different ways
...
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