Spearman correlations are equivalent to Pearson correlations between the ranks of two variables and Pearson correlations are functions of totals. Therefore, you can estimate Spearman correlations using PROC SURVEYMEANS and a little programming. The method is described in the book "Model Assisted Survey Sampling" by Sardal, Swensson and Wretman. The essential formula that you will need for correlations is found in exercise 13.1. There are also two Web Examples available at support.sas.com that demonstrate this method. The Web Examples demonstrate how to estimate the variance of a variable and the standard deviation of a variable; correlations are just an extension of the same idea. http://support.sas.com/rnd/app/examples/stat/SurveyVariance/new_example/index.html http://support.sas.com/rnd/app/examples/stat/SurveyStdDev/new_example/index.html ... View more

At SGF12, Sharon Lohr gave a keynote talk that included a discussion of diagnostic plots. Her paper is available online: "Using SAS for the design, analysis, and visualization of complex surveys."  The takeaway from the talk is that you can use the diagnostic procs from PROC REG on survey data, provided that you use the survey weights in the WEIGHT stmt. The diagnostic plots are mostly concerned with predicted/resudual values, and these are identical for PROC REG and PROC SURVEYREG.  However, you don't want to use any PROC REG plots that display variance information, such as confidence bands, because the PROC REG variances aren't adjusted for the survey design. Rick ... View more