And does anyone know if the same logic applies to a lagged X as predictor of Y? Is this allowed and if yes, what is the best centering method and why?
Thank you!
Paris
Search found 4 matches
- Wed Jun 20, 2018 6:52 am
- Forum: MLwiN user forum
- Topic: Centering method for lagged variables
- Replies: 4
- Views: 11201
- Tue Jun 19, 2018 2:08 pm
- Forum: MLwiN user forum
- Topic: Centering method for lagged variables
- Replies: 4
- Views: 11201
Re: Centering method for lagged variables
That really helps, thank you Chris!
Best,
Paris
Best,
Paris
- Wed Jun 13, 2018 2:10 pm
- Forum: MLwiN user forum
- Topic: Centering method for lagged variables
- Replies: 4
- Views: 11201
Centering method for lagged variables
Dear MlwiN users,
Suppose we have weekly (or diary) data where a within-level X variable(s) predicts a within-level Y variable. Now I want to create lagged (previous-week) variables for both X and Y and add them as control variables. I have seen in a paper that while lagged Y was grandmean centered ...
Suppose we have weekly (or diary) data where a within-level X variable(s) predicts a within-level Y variable. Now I want to create lagged (previous-week) variables for both X and Y and add them as control variables. I have seen in a paper that while lagged Y was grandmean centered ...
- Mon Nov 27, 2017 3:25 pm
- Forum: MLwiN user forum
- Topic: Level 2 variance increases with inclusion of Level 1 predictors
- Replies: 2
- Views: 5172
Level 2 variance increases with inclusion of Level 1 predictors
Dear Mlwin users,
Have you ever had the following issue?
The variance (estimate) of Level 2 increases when new Level 1 predictors are added in a regression equation (all as predictors of a Level 1 outcome).
I usually have this when all predictors in the equation are at Level 1.
I'm quite puzzled ...
Have you ever had the following issue?
The variance (estimate) of Level 2 increases when new Level 1 predictors are added in a regression equation (all as predictors of a Level 1 outcome).
I usually have this when all predictors in the equation are at Level 1.
I'm quite puzzled ...