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Lab Manual for Social Science Statistics Using R
- Brian Joseph Gillespie - University of Groningen, Netherlands
- Kathleen Charli Hibbert - U.S. Environmental Protection Agency, USA
September 2026 | 352 pages | SAGE Publications, Inc
Lab Manual for Social Science Statistics Using R is a hands-on, workbook-style text that introduces students to statistical analysis through active engagement with real data using R and RStudio®. Designed for introductory statistics and research methods courses, the book guides students step by step through the research process using data from the General Social Survey. Beginning with an orientation to R, RStudio, and data preparation, the text covers core statistical topics—including descriptive statistics, data visualization, chi-square tests, t-tests, ANOVA, correlation, and regression—using accessible Base R commands. Brief conceptual explanations are paired with guided demonstrations, cumulative exercises, and lab assignments that emphasize learning by doing, helping students build confidence in managing data, conducting analyses, and professionally interpreting and reporting results from start to finish.
Preface
Chapter 1: RStudio and the 2018 General Social Survey
Chapter 2: Measurement and Modifying Data
Chapter 3: Univariate Analysis
Chapter 4: Visually Presenting Univariate Data
Chapter 5: Bivariate Analysis with Chi-Square
Chapter 6: The t-Test for Difference Between Means
Chapter 7: Analysis of Variance
Chapter 8: Correlation and Regression
Chapter 9: Advanced Regression Topics
Chapter & Lab Exercises
This text is a welcome addition to the existing works that seek to explain how to use R and R Studio. The authors do a marvelous job in breaking the program down to its most basic elements for beginners and advanced users as they undertake numerous statistical procedures. Some of the finest qualities of the work are the visuals and screenshots that give readers the confidence they need to run statistics using R in the most proficient means possible!
University of Georgia
This is a great resource for both undergraduate and graduate students for training in fields increasingly utilizing R in data analyses!
Northeastern Illinois University