Lab Manual for Social Science Statistics Using R

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.

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

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-Sawyer