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Advanced Deep Survey Analysis: The Regression Family

In: Modern Survey Analysis

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  • Walter R. Paczkowski

    (Data Analytics Corp.)

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.

Suggested Citation

  • Walter R. Paczkowski, 2022. "Advanced Deep Survey Analysis: The Regression Family," Springer Books, in: Modern Survey Analysis, chapter 0, pages 177-208, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-76267-4_5
    DOI: 10.1007/978-3-030-76267-4_5
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