A guide to R for social and behavioral science statistics. (2020)

• Record Type: Book
• Further Information: Note: Brian Joseph Gillespie, Kathleen Charli Hibbert, William E. Wagner.
• Authors: Gillespie, Brian Joseph; Hibbert, Kathleen Charli; Wagner, William E (William Edward)
• Contents: Chapter 1: R and RStudio; Introduction; Statistical Software Overview; Downloading R and RStudio; RStudio; Finding R and R Studio Packages; Opening Data; Saving Data Files; Conclusion; Chapter 2: Data, Variables, and Data Management; About the Data and Variables; Structure and Organization of Classic “Wide” Data Sets; The General Social Survey; Variables and Measurement; Recoding Variables; Logic of Coding; Recoding of Missing Values; Computing Variables; Eliminating Outliers; Conclusion; Chapter 3: Data Frequencies and Distributions; Frequencies for Categorical Variables; Cumulative Frequencies and Percentages; Frequencies for Interval/Ratio Variables; Histograms; The Normal Distribution; Non-Normal Distribution Characteristics; Exporting Tables; Conclusion; Chapter 4: Central Tendency and Variability; Measures of Central Tendency; Measures of Variability; The z-Score; Selecting Cases for Analysis; Conclusion; Chapter 5: Creating and Interpreting Univariate and Bivariate Data Visualizations; Introduction; R’s Color Palette; Univariate Data Visualization; Bivariate Data Visualization; Exporting Figures; Conclusion; Chapter 6: Conceptual Overview of Hypothesis Testing & Effect Size; Introduction; Null and Alternative Hypotheses; Statistical Significance; Test Statistic Distributions; Choosing a Test of Statistical Significance; Hypothesis Testing Overview; Effect Size; Conclusion; Chapter 7: Relationships between Categorical Variables; Single Proportion Hypothesis Test; Goodness of Fit; Bivariate Frequencies; The Chi-Square Test of Independence (?2); Conclusion; Chapter 8: Comparing One or Two Means; Introduction; One-Sample t-test; The Independent Samples t-test; Examples; Additional Independent Samples t-test Examples; Effect Size for t-test: Cohen’s d; Paired t-test; Conclusion; Chapter 9: Comparing Means across Three or More Groups (ANOVA); Analysis of Variance (ANOVA); ANOVA in R; Two-Way Analysis of Variance; Conclusion; Chapter 10: Correlation and Bivariate Regression; Review of Scatterplots; Correlations; Pearson’s Correlation Coefficient; Coefficient of Determination; Non-Parametric Correlation Tests; The Correlation Matrix; Bivariate Linear Regression; Logistic Regression; Conclusion; Chapter 11: Multiple Regression; The Multiple Regression Equation; Interaction Effects and Interpretation; Logistic Regression; Interpretation & Presentation Logistic Regression Results; Conclusion; Chapter 12: Advanced Regression Topics; Advanced Regression Topics; Polynomials; Logarithms; Scaling Data; Mullticolinearity; Further Exploration; Multiple Imputation; Conclusion;
• Edition: 1st
• Publisher Details: Los Angeles : SAGE
• Publication Date: 2020
• Extent: 1 online resource
• Subjects: 519.502855133; Social sciences -- Statistical methods; Psychology -- Statistical methods; R (Computer program language)
• Languages: English
• ISBNs: 9781544344003
• Related ISBNs: 9781544344027
• Notes: Note: Includes bibliographical references.; Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.