I am trying to figure out how to analyze survey results administered as part of a randomized trial. We drew random samples of households from 4 different locations: 1 neighborhood which received treatment a, 1 neighborhood which received treatment b, 1 neighborhood that received treatment c, and finally one neighborhood that received no treatment and acted as a control. This was a non-panel survey administered prior to the treatment period and following the treatment period. In other words, the same sample of households were mailed the surveys before and after the intervention, but we cannot match respondents across waves, so we basically have 2 crosssections of respondents. Therefore I cannot run a repeated measures anova. I was thinking of running an anova with a variable distinguishing between the treatment type, the time the survey was administered (pre or post), and then the interaction between the type of treatment and the time of survey. Am I way off here? Any suggestions would be appreciated.