A Guide to R for Social and Behavioral Science Statistics

Brian Joseph Gillespie, Kathleen Charli Hibbert, William E. Wagner, III, William E. Wagner-Huang

• Publisher: SAGE Publications, Inc
• Year: 2020
• Print ISBN:
  9781544344027
• Edition: 1
• eBook ISBN:
  9781544344010
• Topic: Social Sciences
• Subtopic: Statistics for Business & Economics
• Index: Social Sciences

A Guide to R for Social and Behavioral Science Statistics is a short, accessible book for learning R. This handy guide contains basic information on statistics for undergraduates and graduate students, shown in the R statistical language using RStudio®. The book is geared toward social and behavioral science statistics students, especially those with no background in computer science. Written as a companion book to be used alongside a larger introductory statistics text, the text follows the most common progression of statistics for social scientists. The guide also serves as a companion for conducting data analysis in a research methods course or as a stand-alone R and statistics text. This guide can teach anyone how to use R to analyze data, and uses frequent reminders of basic statistical concepts to accompany instructions in R to help walk students through the basics of learning how to use R for statistics. 

Table of contents

• Cover
• Half Title
• Acknowledgements
• Title Page
• Copyright Page
• Brief Contents
• Detailed Contents
• Preface
• Acknowledgments
• About the Authors
• 1 R and RStudio®
• 2 Data, Variables, and Data Management
• 3 Data Frequencies and Distributions
• 4 Central Tendency and Variability
• 5 Creating and Interpreting Univariate and Bivariate Data Visualizations
• 6 Conceptual Overview of Hypothesis Testing and Effect Size
• 7 Relationships Between Categorical Variables
• 8 Comparing One or Two Means
• 9 Comparing Means Across Three or More Groups (ANOVA)
• 10 Correlation and Bivariate Regression
• 11 Multiple Regression
• 12 Advanced Regression Topics
• Index