Struggles with Survey Weighting and Regression Modeling
نویسندگان
چکیده
منابع مشابه
Struggles with Survey Weighting and Regression Modeling
The general principles of Bayesian data analysis imply that models for survey responses should be constructed conditional on all variables that affect the probability of inclusion and nonresponse, which are also the variables used in survey weighting and clustering. However, such models can quickly become very complicated, with potentially thousands of post-stratification cells. It is then a ch...
متن کاملComment: Struggles with Survey Weighting and Regression Modeling
This is an intriguing paper that raises important questions, and I feel privileged for being invited to discuss it. The paper deals with a very basic problem of sample surveys: how to weight the survey data in order to estimate finite population quantities of interest like means, differences of means or regression coefficients. The paper focuses for the most part on the common estimator of a po...
متن کاملComment: Struggles with Survey Weighting and Regression Modeling
In the ideal samples of survey sampling textbooks, weights are the inverses of the inclusion probabilities for the units. But nonresponse and undercoverage occur, and survey statisticians try to compensate for the resulting bias by adjusting the sampling weights. There has been much debate about when and whether weights should be used in analyses, and how they should be constructed. Professor G...
متن کاملRejoinder: Struggles with Survey Weighting and Regression Modeling
Encountering this sort of statement in the documentation of opinion poll data we were analyzing in political science: “A weight is assigned to each sample record, and MUST be used for all tabulations.” (This particular version was in the codebook for the 1988 CBS News/New York Times Poll; as you can see, this is a problem that has been bugging me for a long time.) Computing weighted averages is...
متن کاملComment: Struggles with Survey Weighting and Regression Modeling
I appreciate the opportunity to comment on Andrew Gelman’s interesting paper. As an admirer of Gelman’s work, it is a pleasure to read his take on the topic of survey weighting, which I have always found fascinating. Since I support Gelman’s general approach, I focus on reinforcing some points in the article and commenting on some of the modeling issues he raises. As a student of statistics, I ...
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ژورنال
عنوان ژورنال: Statistical Science
سال: 2007
ISSN: 0883-4237
DOI: 10.1214/088342306000000691