
A Guide to R for Social and Behavioral Science Statistics
- English
- ePUB (mobile friendly)
- Available on iOS & Android
A Guide to R for Social and Behavioral Science Statistics
About this book
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.Â
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Information
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