Tim Wind posted on Tuesday, June 05, 2012 - 1:04 pm
My research question is related to multilevel growth modeling. We did research in Rwanda and appied an intervention that fosters community social capital which in turns influences mental health.
We measured mental health on three time points (within level), measured social capital on three time points (between level), and have an intervention group and a control group (u-variable which is independent).
The idea is: Intervention (intervention versus control) --> community social capital (t1, t2, t3) --> mental health (m1, m2, m3).
How do I analyse this hypothesis in MPlus (with multilevel growth modeling?)? Further, how can I use a categorical variable as an independent variable? In the output, it says a categorical 'u'-variable can only be used as a dependent variable.
The scale of independent variables is not an issue in model estimation. In regression, independent variables can be binary or continuous. In both cases, they are treated as continuous in model estimation.
Is the intervention on the within or between levels?
Tim Wind posted on Thursday, June 07, 2012 - 6:06 am
Thank you for the explanation on independent variables. The intervention is on the between level.
Variables on the between level can be used only on the between level. A variable on the within level can be used on both levels. See Examples 9.1 and 9.2 for the building blocks you can use to develop your model.