Advanced Deep Survey Analysis: The Regression Family

Walter R. Paczkowski
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Walter R. Paczkowski: Data Analytics Corp.

Chapter Chapter 5 in Modern Survey Analysis, 2022, pp 177-208 from Springer

Abstract: Abstract I will discuss some advanced analysis methods in this chapter. Specifically, I will discuss modeling survey responses using linear regression for continuous variable responses, logistic regression for binary variable responses, and Poisson regression for count responses. The latter two are particularly important and relevant for survey data analysis because many survey Core Questions have discrete, primarily binary and count, responses such as “Will you vote in the next presidential election?”, “Do you shop for jewelry online?”, and “How many times have you seen your doctor?” Logistic regression leads to a form of analysis called key driver analysis (KDA) which seeks the key factors that drive or determine a Core Question.

Date: 2022
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DOI: 10.1007/978-3-030-76267-4_5

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