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Full Description
Surveys are powerful tools for gathering information, uncovering insights, and facilitating decision-making. However, to ensure the accurate interpretation of results, they require specific analysis methods. In this book, readers embark on an in-depth journey into conducting complex survey analysis with the {srvyr} package and tidyverse family of functions from the R programming language. Intended for intermediate R users familiar with the basics of the tidyverse, this book gives readers a deeper understanding of applying appropriate survey analysis techniques using {srvyr}, {survey}, and other related packages. With practical walkthroughs featuring real-world datasets, such as the American National Election Studies and Residential Energy Consumption Survey, readers will develop the skills necessary to perform impactful survey analysis on survey data collected through a randomized sample design. Additionally, this book teaches readers how to interpret and communicate results of survey data effectively.
Key Features:
Uses the {srvyr} package and tidyverse family of packages.
Grants a conceptual understanding of the statistical methods that the functions apply to.
Includes practical walkthroughs using publicly available survey data.
Provides the reader with the tools for interpreting, visualizing, and presenting results.
Contents
Part 1: Introduction 1. Introduction 2. Overview of surveys 3. Survey data documentation Part 2: Analysis 4. Getting started 5. Descriptive analyses 6. Statistical testing 7. Modeling Part 3: Reporting 8. Communication of results 9. Reproducible research Part 4: Real life data 10. Sample designs and replicate weights 11. Missing data 12. Successful survey analysis recommendations Part 5: Vignettes 13. National Crime Victimization Survey Vignette 14. AmericasBarometer Vignette Appendix A. Importing survey data into R B. ANES derived variable codebook C. RECS derived variable codebook D. Exercise solutions Bibliography Index
