Using R for introductory statistics in social sciences /

This book teaches R programming for fundamental statistical and data analysis skills, specifically tailored to social scientists and others new to quantitative research. Traditionally, this audience has relied on costly software packages such as SPSS, STATA, and SAS. However, R is a free, open-sourc...

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Bibliographic Details
Main Author:	Perkins, Mark A. (Author)
Format:	eBook
Language:	English
Published:	Cham : Springer, 2026.
Series:	Quantitative methods in the humanities and social sciences,
Subjects:	Social sciences > Statistical methods > Data processing. R (Computer program language) R (Langage de programmation) Electronic books.

Table of Contents:

Chapter 1. Introduction to the R Environment
Chapter 2. Statistical Concepts
Chapter 3. Running Descriptive Statistics and Frequencies in R
Chapter 4. Concepts for Research and Inferential Statistics
Chapter 5. The Chi-Square Family of Tests
Chapter 6. Group Comparisons with Scale Dependent Variables
Chapter 7. One-Way Dependent Samples and Time Series Tests
Chapter 8. Correlation and Regression Modeling.