Lab Manual for Social Science Statistics Using R
1st Edition
Will be published approx. on 14. December 2026
Book
Paperback/Softback
352 pages
978-1-0718-4390-1 (ISBN)
Description
Lab Manual for Social Science Statistics Using R is a hands-on lab manual that teaches students statistics by working with real data in R from day one.
Reviews / Votes
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! -- Kyle M. Woosnam This is a great resource for both undergraduate and graduate students for training in fields increasingly utilizing R in data analyses! -- Lisa Hollis-SawyerMore details
Language
English
Place of publication
Thousand Oaks
United States
Target group
College/higher education
Dimensions
Height: 231 mm
Width: 187 mm
ISBN-13
978-1-0718-4390-1 (9781071843901)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Brian Joseph Gillespie, Ph.D. is a researcher in the Faculty of Spatial Sciences at the University of Groningen in the Netherlands. He is the author of Household Mobility in America: Patterns, Processes, and Outcomes (Palgrave, 2017) and coauthor of The Practice of Survey Research: Theory and Applications (Sage, 2016) and Using and Interpreting Statistics in the Social, Behavioral, and Health Sciences (Sage, 2018). He has also published research in a variety of social science journals on topics related to family, migration, the life course, and interpersonal relationships.
Kathleen Charli Hibbert, Ph.D. is a social ecologist at the U.S. Environmental Protection Agency researching potential health impacts from relationships and interactions between humans and their environment(s). She has published works on micro-activity behavior, intentional living communities, vulnerable communities, e-waste, non-chemical stressors, children's health, and older adult sexuality. She has taught quantitative analysis and research methods in sociology, psychology, and research departments using a variety of statistical applications.
Kathleen Charli Hibbert, Ph.D. is a social ecologist at the U.S. Environmental Protection Agency researching potential health impacts from relationships and interactions between humans and their environment(s). She has published works on micro-activity behavior, intentional living communities, vulnerable communities, e-waste, non-chemical stressors, children's health, and older adult sexuality. She has taught quantitative analysis and research methods in sociology, psychology, and research departments using a variety of statistical applications.
Content
Preface
Chapter 1: RStudio and the 2018 General Social Survey
Installation
Introduction to RStudio
The General Social Survey (GSS)
Tips for Learning R & Coding
Functions
Packages
Main Points
Key Terms
Review Questions
Lab Assignment 1: Exploring the Basics of R/RStudio
Chapter 2: Measurement and Modifying Data
Overview of Variable Types
Transforming Variable Types
The Logic of Recoding
Frequencies
Recoding Variables
Functions
Packages
Main Points
Key Terms
Review Questions
Lab Assignment 2
Chapter 3: Univariate Analysis
Frequencies (marital)
Descriptive Statistics
Central Tendency
Functions
Packages
Main Points
Key Terms
Review Questions
Lab Assignment 3
Chapter 4: Visually Presenting Univariate Data
Data Visualization
Bar Charts
Cumulative Frequency Polygon
Boxplots
Histograms
Data Distributions
Saving Figures
Functions
Packages
Main Points
Key Terms
Review Questions
Lab Assignment 4
Chapter 5: Bivariate Analysis with Chi-Square
Contingency Tables (Crosstabulation)
Data Visualization for Two Categorical Variables
Overview of Variables, Hypotheses and Significance
Writing Up Results
Goodness of Fit Test
Test of Independence
Effect Size Phi and Cramer's V
Functions
Packages
Main Points
Key Terms
Review Questions
Lab Exercise 5
Chapter 6: The t-Test for Difference Between Means
Overview of the t-Test
One-Sample t-test
Independent Samples t-test
Paired t-test
Effect Size: Cohen's d
Functions
Packages
Main Points
Key Terms
Review Questions
Lab Assignment 6
Chapter 7: Analysis of Variance
Overview of the Analysis of Variance (ANOVA)
One-Way ANOVA
Comparing More Than One Mean
Post -Hoc Analysis
Effect Size for a One-Way ANOVA: Eta-Squared
Two-Way ANOVA
Functions
Packages
Main Points
Key Terms
Review Questions
Lab Assignment 7
Chapter 8: Correlation and Regression
Scatterplots
Pearson's correlation coefficient
Correlation Coefficient: r
Coefficient of Determination
Pearson's Product Moment Correlation and Correlation Matrix
Bivariate Linear Regression
Regression Equation
Functions
Packages
Main Points
Key Terms
Review Questions
Lab Assignment 8
Chapter 9: Advanced Regression Topics
Overview of Regressions
Binary Logistic Regression
Odds Ratios
Multiple Regression
Functions
Packages
Main Points
Key Terms
Review Questions
Lab Assignment 9
Chapter & Lab Exercises
Chapter 1: RStudio and the 2018 General Social Survey
Installation
Introduction to RStudio
The General Social Survey (GSS)
Tips for Learning R & Coding
Functions
Packages
Main Points
Key Terms
Review Questions
Lab Assignment 1: Exploring the Basics of R/RStudio
Chapter 2: Measurement and Modifying Data
Overview of Variable Types
Transforming Variable Types
The Logic of Recoding
Frequencies
Recoding Variables
Functions
Packages
Main Points
Key Terms
Review Questions
Lab Assignment 2
Chapter 3: Univariate Analysis
Frequencies (marital)
Descriptive Statistics
Central Tendency
Functions
Packages
Main Points
Key Terms
Review Questions
Lab Assignment 3
Chapter 4: Visually Presenting Univariate Data
Data Visualization
Bar Charts
Cumulative Frequency Polygon
Boxplots
Histograms
Data Distributions
Saving Figures
Functions
Packages
Main Points
Key Terms
Review Questions
Lab Assignment 4
Chapter 5: Bivariate Analysis with Chi-Square
Contingency Tables (Crosstabulation)
Data Visualization for Two Categorical Variables
Overview of Variables, Hypotheses and Significance
Writing Up Results
Goodness of Fit Test
Test of Independence
Effect Size Phi and Cramer's V
Functions
Packages
Main Points
Key Terms
Review Questions
Lab Exercise 5
Chapter 6: The t-Test for Difference Between Means
Overview of the t-Test
One-Sample t-test
Independent Samples t-test
Paired t-test
Effect Size: Cohen's d
Functions
Packages
Main Points
Key Terms
Review Questions
Lab Assignment 6
Chapter 7: Analysis of Variance
Overview of the Analysis of Variance (ANOVA)
One-Way ANOVA
Comparing More Than One Mean
Post -Hoc Analysis
Effect Size for a One-Way ANOVA: Eta-Squared
Two-Way ANOVA
Functions
Packages
Main Points
Key Terms
Review Questions
Lab Assignment 7
Chapter 8: Correlation and Regression
Scatterplots
Pearson's correlation coefficient
Correlation Coefficient: r
Coefficient of Determination
Pearson's Product Moment Correlation and Correlation Matrix
Bivariate Linear Regression
Regression Equation
Functions
Packages
Main Points
Key Terms
Review Questions
Lab Assignment 8
Chapter 9: Advanced Regression Topics
Overview of Regressions
Binary Logistic Regression
Odds Ratios
Multiple Regression
Functions
Packages
Main Points
Key Terms
Review Questions
Lab Assignment 9
Chapter & Lab Exercises