longitudinal data with missing values at level 1
Posted: Mon Nov 14, 2016 4:24 pm
Dear all,
I'm new to MLwiN and want to use MLwiN to analyse my longitudinal data (multilevel- 3 levels). The data structure takes the form of repeated measures (level 1) nested within the individual (level 2) and individuals nested within higher level cluster (e.g. school or centers). However, I have some missing values (at Level 1). Does anyone know if I can use multiple imputation in MLwiN on my multilevel data (3 level )?
Thanks in Advance
Best Regards// Mansoor
I'm new to MLwiN and want to use MLwiN to analyse my longitudinal data (multilevel- 3 levels). The data structure takes the form of repeated measures (level 1) nested within the individual (level 2) and individuals nested within higher level cluster (e.g. school or centers). However, I have some missing values (at Level 1). Does anyone know if I can use multiple imputation in MLwiN on my multilevel data (3 level )?
Thanks in Advance
Best Regards// Mansoor