Modern survey analysis : using Python for deeper insights / Walter R. Paczkowski.
Paczkowski, Walter R., author.
2022
HF5415
Available Online

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Title Modern survey analysis : using Python for deeper insights / Walter R. Paczkowski.
Author Paczkowski, Walter R., author.
ISBN 9783030762674 (electronic bk.)
303076267X (electronic bk.)
9783030762667
3030762661
DOI https://doi.org/10.1007/978-3-030-76267-4
Published Cham : Springer, 2022.
Language English
Description 1 online resource (xxvi, 347 pages) : illustrations (some color)
Other Standard Identifiers 10.1007/978-3-030-76267-4 doi
Call Number HF5415
Dewey Decimal Classification 658.8/3
Summary This book develops survey data analysis tools in Python, to create and analyze cross-tab tables and data visuals, weight data, perform hypothesis tests, and handle special survey questions such as Check-all-that-Apply. In addition, the basics of Bayesian data analysis and its Python implementation are presented. Since surveys are widely used as the primary method to collect data, and ultimately information, on attitudes, interests, and opinions of customers and constituents, these tools are vital for private or public sector policy decisions. As a compact volume, this book uses case studies to illustrate methods of analysis essential for those who work with survey data in either sector. It focuses on two overarching objectives: Demonstrate how to extract actionable, insightful, and useful information from survey data; and Introduce Python and Pandas for analyzing survey data.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed September 14, 2022).
Available in Other Form Print version: 9783030762667
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Record Appears in Online Resources > Ebooks
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1. Introduction
2. Understanding the structure of survey data
3. Shallow analyses of survey data
4. Deep analyses of survey data
5. Conclusion and wrap-up.

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