First Step: Working with Survey Data

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

Chapter Chapter 2 in Modern Survey Analysis, 2022, pp 35-81 from Springer

Abstract: Abstract You cannot do basic survey data analysis or any type of data analysis, whether it be for surveys or not, without understanding the structure of your data. For surveys, this means at least understanding the background of your respondents: their gender, age, education, and so forth. This amounts to understanding respondents’ profiles. Examples include age distribution, gender distribution, income distribution, political party affiliation distribution, and residency distribution, to mention just a few. Profiles provide a perspective on how your respondents answer the main survey questions; different groups answer differently. But your data have to be organized to allow you to do this. In this chapter, you will gain a perspective on how to organize your data to prepare to look at the basic distributions of your respondents. You will then begin to look at your data in the next chapter.

Date: 2022
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DOI: 10.1007/978-3-030-76267-4_2

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