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Bureau of Labor Statistics > Office of Survey Methods and Research > Publications > Browse Research Papers

Learning about Respondents’ Characteristics Using Standard Exploratory Data Analysis (EDA) Tools)

MoonJung Cho and Larry Lang

Abstract

With aid of computing power, EDA has made remarkable advancements especially in vi- sualization, clustering, and dimension reduction. We examined the characteristics of sur- vey non-respondents using standard EDA tools such as classical multidimensional scaling (MDS), spectral clustering, and topological networks. In addition, we applied classifica- tion and regression tree methods to identify the important variables which could better assess and interpret nonresponse rates. We applied these tools to analyze non-respondents’ characteristics at the initiation stage in the U.S. International Price Program Survey.