3/28/2023 0 Comments Brfss codebook 2014However, the fact that the stratification changed in many years suggests that the super-stratum approach may be best. I haven't found any guidance about what to do for GSS. Or, rather, I've created "superstrata" that grouped year and year-specific strata. Multiple year surveys: When multi-year surveys draw independent sample in each year, I've always treated the years as strata. Appendix A of the codebook shows many changes over the years, including changes to the sampling frame and target population. but I see nothing about this in the Codebook for the combined data 1972-2014 (( ). Apparently GSS has switched to a rotating panel design ( ). I have a suspicion it won't matter much either way, but I wonder if there is any consensus or controversy over whether or not to do this. On the one hand, the advice to treat year as a stratum variable sounds reasonable on the other hand I don't remember seeing similar advice anywhere else. Instead, I include dummies for Year in my models. My current analysis uses svyset without year as a stratum variable. I haven't seen this approach recommended before, and am not sure if this is the best route to take. This code is similar to the UCLA code you sent me, with the addition of year (see ). He writes that "it is reasonable to treat Year as the stratum variable because the surveys from each year are independent, and Year is a fixed variable." His code to set up pooled GSS data is: svyset sampcode, strata(year). Do you have an opinion on treating Year as a stratum variable with pooled data? I ask because Donald Treiman recommends this in his book Quantitative Data Analysis.
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