{"product_id":"an-r-companion-for-applied-statistics-ii-9781071815571","title":"An R Companion for Applied Statistics II","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cstrong\u003eAn R Companion for Applied Statistics II: Multivariable and Multivariate Techniques \u003c\/strong\u003ebreaks the language of the R software down into manageable chunks in order to help students learn how to use R to analyze multivariate data. The book focuses on the statistics generally covered in an intermediate or multivariate statistics course and provides one or two ways to run each analysis in R. The book has been designed to be an R companion to Rebecca M. Warner's \u003cem\u003eApplied Statistics II: Third Edition\u003c\/em\u003e, and includes end-of-chapter instructions for replicating the examples from that book in R. However, this text can also be used as a stand-alone R guide for a multivariate statistics course, without reference to the Warner text. Datasets and scripts to run the examples are provided on an accompanying website\u003cstrong\u003e\u003c\/strong\u003e. \u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface Acknowledgments About the Author CHAPTER 1 • Beyond Two Variables and Null Hypothesis Significance Testing    Confidence Intervals    Effect Size    Meta-Analysis    Chapter 1: Summary of Key Functions (AKA: Function Cheat Sheet) CHAPTER 2 • Advanced Data Screening, Outliers, and Missing Values    Data Management    Coding Missing Values    Screening Data    Chapter 2: Summary of Key Functions (AKA: Function Cheat Sheet) CHAPTER 3 • Statistical Control    Including a Third Variable in Graphs    Including a Third Variable Quantitatively    Chapter 3: Summary of Key Functions (AKA: Function Cheat Sheet)    Appendix 3: R Instructions to Accompany Warner (2020b) CHAPTER 4 • Statistical Control With Regression Analysis    Visualizing Associations Between Three Variables    Performing Regressions and Semipartial Correlations    Chapter 4: Summary of Key Functions (AKA: Function Cheat Sheet)    Appendix 4: R Instructions to Accompany Warner (2020b) CHAPTER 5 • Beyond Three Variables: Regression With Multiple Predictors    Standard Regression    User-Determined Regression    Data-Driven Regression    Chapter 5: Summary of Key Functions (AKA: Function Cheat Sheet)    Appendix 5: R Instructions to Accompany Warner (2020b) CHAPTER 6 • Regression With Dummy Variables    One-Way Between-Subjects Analysis of Variance (ANOVA)    Regression With Dummy Variables    Regression With Quantitative and Dummy Variables    Chapter 6: Summary of Key Functions (AKA: Function Cheat Sheet)    Appendix 6: R Instructions to Accompany Warner (2020b) CHAPTER 7 • Moderation    Interactions With Categorical Predictors    Interactions With a Categorical and Quantitative Predictor    Interactions With Two Quantitative Predictors    Interactions with a Categorical and Quantitative Predictor    Interactions with Two Quantitative Predictors    Chapter 7: Summary of Key Functions (AKA: Function Cheat Sheet)    Appendix 7: R Instructions to Accompany Warner (2020b) CHAPTER 8 • Analysis of Covariance    Checking Assumptions    Performing ANCOVA    Presenting Results    Chapter 8: Summary of Key Functions (AKA: Function Cheat Sheet)    Appendix 8: R Instructions to Accompany Warner (2020b) CHAPTER 9 • Mediation    Checking Assumptions    Performing Mediation Analysis    Presenting Results    Chapter 9: Summary of Key Functions (AKA: Function Cheat Sheet)    Appendix 9: R Instructions to Accompany Warner (2020b) CHAPTER 10 • Discriminant Analysis    Checking Assumptions    Performing Discriminant Analysis    Presenting Results    Chapter 10: Summary of Key Functions (AKA: Function Cheat Sheet)    Appendix 10: R Instructions to Accompany Warner (2020b) CHAPTER 11 • Multivariate Analysis of Variance    Checking Assumptions    Performing Multivariate Analysis of Variance    Performing Factorial Multivariate Analysis of Variance    Chapter 11: Summary of Key Functions (AKA: Function Cheat Sheet)    Appendix 11: R Instructions to Accompany Warner (2020b) CHAPTER 12 • Exploratory Factor Analysis    Performing Principal Components Analysis    Performing Principal Axis Factor Analysis    Chapter 12: Summary of Key Functions (AKA: Function Cheat Sheet)    Appendix 12: R Instructions to Accompany Warner (2020b) CHAPTER 13 • Reliability and Validity for Multiple-Item Scales    Test-Retest Reliability    Factor Analysis    Internal Reliability and Creating Scale Scores    Chapter 13: Summary of Key Functions (AKA: Function Cheat Sheet)    Appendix 13: R Instructions to Accompany Warner (2020b) CHAPTER 14 • Repeated-Measures Tests: Further Exploration    Checking Assumptions    One-Way Repeated-Measures Analysis of Variance    Mixed Analysis of Variance    Chapter 14: Summary of Key Functions (AKA: Function Cheat Sheet)    Appendix 14: R Instructions to Accompany Warner (2020b) CHAPTER 15 • Brief Introduction to Latent-Variable Structural Equation Modeling    Measurement Models    Mediation With Latent-Variable Structural Equation Modeling    Chapter 15: Summary of Key Functions (AKA: Function Cheat Sheet)    Appendix 15: R Instructions to Accompany Warner (2020b) CHAPTER 16 • Binary Logistic Regression    Getting Familiar With the Data    Binary Logistic Regression    Presenting Results    Chapter 16: Summary of Key Functions (AKA: Function Cheat Sheet)    Appendix 16: R Instructions to Accompany Warner (2020b) CHAPTER 17 • Additional Statistical Techniques    Dealing With Time    Dealing With Odd Distributions    Dealing With Interdependence    Concluding Thoughts References","brand":"SAGE Publications Inc","offers":[{"title":"Default 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