Hi all,
I have 4 continuous DVs (quality of life domains of SF-36: GH, PF, MH, SF) which are moderately inter-correlated (0.5) and two of them have skewed distributions. I originally intended to use --manova & --mvreg until lately when I realised that I'm using a dataset from a survey with over-sampling for participants living in remote areas. The dataset had had a weighted variable already so have to take this into account. To some extent, this had affected the statistical method I'd like to use previously. So far, I've performed a separate analysis for each DV as I have no idea on how to apply --svy nor --pw to --manova and --mvreg.
Some of my concerns are:
a. I need descriptives other than mean & proportion, particularly for skewed DVs which I think median or percentiles is more appropriate. While --svy does not support this, is there a way to get the estimates?
b. How to create histogram for weighted mean DV as this will help get a sense if assumption for normality for an OLS regression is met?
c. When using --regress with --svy to get ANOVA, how is homogeneity of variance assessed?
d. I noticed that there is no adjusted R-squared when using --svy, so is it appropriate to build a model using R-squared instead?
e. Lastly, if it's not impractical at all, is it still possible to run --mvreg and take weights into account?
Any help is much appreciated although technical one with commands is preferred :))
regards,
hafida--
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