tidy-survey-r/tidy-survey-book

An in-depth journey into conducting complex survey analysis with the tidyverse from the R programming language. Gain a deep understanding of applying appropriate techniques using {srvyr}, {survey}, and other related packages for survey analysis, and interpreting and communicating results effectively.

Exploring Complex Survey Data Analysis Using R: A Tidy Introduction with {srvyr} and {survey}

Surveys are a powerful tool for gathering information, drawing insights, and driving decisions. However, they require specific analysis methods to ensure the correct interpretation of results. This book will provide an in-depth introduction to conducting survey analysis with the {srvyr} package and {tidyverse} family of functions. Readers will understand how and why to use survey analysis techniques as well as how to interpret and communicate results.

Chapters

1. Introduction
   1. Introduction
   2. Overview of surveys
   3. Survey data documentation
2. Analysis
   4. Getting started
   5. Descriptive analyses
   6. Statistical testing
   7. Modeling
3. Reporting
   8. Communication of results
   9. Reproducible research
4. Real-life data
   10. Sample designs and replicate weights
   11. Missing data
   12. Successful survey analysis recommendations
5. Vignettes
   13. National Crime Victimization Survey vignette
   14. AmericasBarometer vignette

Appendices

1. Importing survey data into R
2. ANES derived variable codebook
3. RECS derived variable codebook
4. Exercise solutions