All Questions
20 questions
10
votes
4
answers
9k
views
How to test random effects in a multilevel model in R
I have been reading a good book called Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence by Judith Singer and John Willet. The book shows that by modeling in 2 levels, we can ...
- 517
6
votes
2
answers
3k
views
Correct specification of longitudinal model in lme4
I am trying to fit a multilevel longitudinal model and i have a question regarding how to specify it.
The data consist of about 8k observations collected from about 3k individuals at four time points. ...
- 1,039
5
votes
1
answer
23k
views
5
votes
1
answer
3k
views
Multi-stage selection model with panel data in R
My data consists of individual level observations nested within countries over time. I would like to use multilevel models along with some sort of selection model.
I have three related questions.
...
- 285
5
votes
1
answer
912
views
Between- and within-person level effects when using multilevel modelling for longitudinal data in R
I’m using nlme package in R for analysing longitudinal data. The aim is to understand if changes in need satisfaction (TNS) and ...
- 53
4
votes
2
answers
253
views
Mixed Model for Repeated Measurement (mmrm) - Assumptions
I want to fit a mixed model for repeated measures (mmrm) on a set of panel data with 6 visits and N = 1200. I want to estimate the effect of time passing on the outcome, without any intervention since ...
- 145
2
votes
1
answer
616
views
R longitudinal growth curve model/multilvel model with time-varying covariate structure (nlme)
I have data of countries, years and some variables as shown below:
...
- 213
2
votes
1
answer
2k
views
Multiple imputation for clustered data
I have a few questions regarding multiple imputation for nested data.
Context: I have repeated measures (4 times) from a survey and these are clustered in workplaces (205 workplaces). There are about ...
- 1,039
2
votes
1
answer
638
views
Binomial GLMM (GLMER) with proportions in unbalanced, observational panel data: nesting issues and errors
Thanks in advance.
I am new to mixed models and having several doubts about a mixed model (lme4's glmer, binomial) with multiple levels, measuring a proportion [0,1] in three time periods.
My data ...
- 372
2
votes
0
answers
97
views
Simulate autocorrelated variable based on data in R
I am trying to simulate data for a longitudinal multilevel model. Let's say I want to simulate 4 observations of random variable X for N persons - how would I do that assuming autocorrelation of X to ...
- 115
2
votes
0
answers
4k
views
Multilevel analysis: panel data and multiple levels
Suppose we have a historical (panel/longitudinal) dataset on the number of buildings in each sub-region (this is a made-up dataset to explain the concept):
The variable “Year” ranges from 1 to 10 and ...
- 162
2
votes
0
answers
344
views
Clustering on three levels: time, group, individual –- how to correctly specify the model in R?
I would like to run a lagged random effects regression.
The data is from an experiment in which participants were assigned to groups of five and participated in an interactive game for 20 rounds.
...
- 75
1
vote
1
answer
65
views
Modelling 3-level MLM of longitudinal data in R
I have two questions regarding modeling a 3-level multilevel model in R.
I have a dataset of different variables that were assessed 4x as part of a longitudinal study. At each of the four assessments ...
- 11
1
vote
0
answers
39
views
Including AR(1) in growth model makes intercept constant (R nlme)
I have data of countries, years and some variables as shown below (not the comeplete dataset):
...
- 213
1
vote
0
answers
34
views
How to encode Times within Days in Multi-level Mixed Model in R?
I have the following experiment:
I tested 16 subjects on 4 different days with a (repeated) measurement every 20 minutes for a total of approximately 15 measurements/day.
I have about 4 time varying-...
1
vote
0
answers
876
views
plm vs lmer - differences in outputs?
I am looking to run a random-effects model to look at attainment of pupils who are nested within schools. The model specification includes pupil-level characteristics, school-level characteristics and ...
- 41
0
votes
1
answer
334
views
Unbalanced Longitudinal Multilevel Model Power Analysis
I am trying to conduct a power analysis on a multilevel longitudinal model (pre-existing household panel dataset) and am having trouble figuring out how to do it (or if it is even needed in the first ...
- 211
0
votes
0
answers
55
views
Model Y~X using longitudinal data when X is measured less often than Y
I have the following data/setting:
N persons assessed over time: different number of assessments;
assessments at different time points
Variable Y: measured ~50 times (3 times per day)
Variable X: ...
- 71
0
votes
0
answers
192
views
Can we use macro variable (e.g.gdp_growth) in a panel data?
I am examining one country over a period of 10 years. I am interested to see whether GDP_growth had a heterogeneous effect on wages across people with different educational background. The code below ...
- 177
0
votes
0
answers
47
views
Multilevel model for change- time-varying variables at different waves to outcome
I am using UKHLS youth survey where an outcome for wellbeing occurs at waves 2,4,6 and 8.
I have predictors such as computer screen usage and many others I would like to use occurring at waves 1,3,5,7....
