Search found 17 matches
- Fri Jun 30, 2023 8:00 pm
- Forum: MLwiN user forum
- Topic: Non-linear repeated measures 3-level (Or maybe 2-level!) modelling
- Replies: 7
- Views: 7248
Re: Non-linear repeated measures 3-level (Or maybe 2-level!) modelling
Thanks Bill. You make 2 very good points there. The possible reversal of association is something we will have to think carefully about - it hadn't occurred to me, but now you point it out, it seems obvious! I also had some concerns about the analysis being limited to 2 time points and the age depen...
- Fri Jun 30, 2023 5:46 pm
- Forum: MLwiN user forum
- Topic: Non-linear repeated measures 3-level (Or maybe 2-level!) modelling
- Replies: 7
- Views: 7248
Re: Non-linear repeated measures 3-level (Or maybe 2-level!) modelling
Hi Bill We believe the relationship between use of technology and child development score to be non-linear; at both time points. The first set of measures are taken when the children are about 4 years old. It appears that up to a point, more technology use is associated with better developmental sco...
- Fri Jun 30, 2023 1:23 pm
- Forum: MLwiN user forum
- Topic: Non-linear repeated measures 3-level (Or maybe 2-level!) modelling
- Replies: 7
- Views: 7248
Non-linear repeated measures 3-level (Or maybe 2-level!) modelling
I am trying to fit a model to a data set where data has been collected at 2 occasions; at baseline and follow-up. The outcome, a measure of child development, is numerical. The key predictor is a measure of use of technology by the child, also numerical. These variables are available both at baselin...
- Mon Apr 17, 2023 8:17 pm
- Forum: MLwiN user forum
- Topic: Nested covariates and implication for ML model structure
- Replies: 2
- Views: 5989
Re: Nested covariates and implication for ML model structure
Many thanks Bill - very helpful as always. I think that defining a faculty, and one department per faculty as bases and using dummies for the rest sounds like the best way forward. There are reasons to think that there is very little variation between faculties, so I will also try the 24-dummies ANO...
- Mon Apr 17, 2023 12:03 pm
- Forum: MLwiN user forum
- Topic: Nested covariates and implication for ML model structure
- Replies: 2
- Views: 5989
Nested covariates and implication for ML model structure
I have been asked to run a model of student exam data, with multiple entries per student. The repeated measures will form the lower level, and the students the higher level, of a 2-level hierarchy. I have various student-level variables that I need to include: gender, ethnicity etc. I also need to i...
- Wed Mar 17, 2021 7:24 pm
- Forum: MLwiN user forum
- Topic: Nested models with fixed - sort of - categories
- Replies: 2
- Views: 10133
Re: Nested models with fixed - sort of - categories
That does indeed help Bill - it's exactly what I needed to know. Many thanks.
- Tue Mar 16, 2021 8:03 pm
- Forum: MLwiN user forum
- Topic: Nested models with fixed - sort of - categories
- Replies: 2
- Views: 10133
Nested models with fixed - sort of - categories
I have been asked to run a model in which individuals are nested within divisions of an organisation, and divisions are nested within departments. I am not sure how to treat the upper levels of the hierarchy. I currently have received data from about 96% of the divisions (about 250 in total), which ...
- Thu Jul 18, 2019 6:07 pm
- Forum: MLwiN user forum
- Topic: Higher level predictors: are they worth it?
- Replies: 2
- Views: 5520
Re: Higher level predictors: are they worth it?
Thanks Bill - I did not think of the implications of using Level 2 predictors to potentially reduce the number of model levels.
- Tue Jul 09, 2019 3:48 pm
- Forum: MLwiN user forum
- Topic: Higher level predictors: are they worth it?
- Replies: 2
- Views: 5520
Higher level predictors: are they worth it?
I am running a 2-level model with several hundred thousand level-1 units but only about 70 level-2 units. I have already identified a set of level-1 predictors for inclusion, and am considering which, if any, predictors to add in at level-2. I can identify about 9 individual L-2 predictors whose ind...
- Fri Mar 01, 2019 4:02 pm
- Forum: MLwiN user forum
- Topic: Sequential modelling strategies in ML modelling
- Replies: 2
- Views: 4623
Re: Sequential modelling strategies in ML modelling
Thanks Bill - good to know that the structure may not be the constraint I thought it might be. I take your point about the random slopes - I will have to give that some careful consideration.
John
John