Hi everyone,
I am looking at the impact of an intervention on students' knowledge scores (continuous var).
- My study has a control group (50 schools) and an intervention group (another 50 schools) which are randomly selected (cluster RCT) from 6 countries. Knowledge scores are reported at baseline and at post-intervention for both intervention and control groups.
- Here is my model (standard linear regression):
+ Dependent var: post-test score
+ Key independent var: intervention (1) and control (0)
+ Control vars: gender, country, pre-test score
- A similar project said that we need to adjust for the cluster effect. In their project, they said that they use GEE to control for the clustering effect.
- I've read about GEE but really can not figure out if I should include "school ID" (100 categories) in the model to control for cluster. If yes, how I can include it in the model?
I use SPSS to run the analysis.
Any help would be really appreciated.
Thank you,
I am looking at the impact of an intervention on students' knowledge scores (continuous var).
- My study has a control group (50 schools) and an intervention group (another 50 schools) which are randomly selected (cluster RCT) from 6 countries. Knowledge scores are reported at baseline and at post-intervention for both intervention and control groups.
- Here is my model (standard linear regression):
+ Dependent var: post-test score
+ Key independent var: intervention (1) and control (0)
+ Control vars: gender, country, pre-test score
- A similar project said that we need to adjust for the cluster effect. In their project, they said that they use GEE to control for the clustering effect.
- I've read about GEE but really can not figure out if I should include "school ID" (100 categories) in the model to control for cluster. If yes, how I can include it in the model?
I use SPSS to run the analysis.
Any help would be really appreciated.
Thank you,