An R companion for applied statistics II : multivariable and multivariate techniques /: multivariable and multivariate techniques. (2020)

• Record Type: Book
• Further Information: Note: Danney Rasco.
• Authors: Rasco, Danney
• Contents: 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; Including a Third Variable Quantitatively; Appendix 3A: 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 4A: 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 5A: 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 6A: R Instructions to Accompany Warner (2020b); Chapter 7: Moderation; Checking assumptions; Performing factorial ANOVA with interaction; Presenting results; Interactions with a Categorical and Quantitative Predictor; Interactions with Two Quantitative Predictors; Chapter 7: Summary of Key Functions (AKA: Function Cheat Sheet); Appendix 7A: 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 8A: 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 9A: 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 10A: 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 11A: 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 12A: 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 13A: 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 14A: 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 15A: 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 16A: R Instructions to Accompany Warner (2020b); Chapter 17: Additional Statistical Techniques; Dealing with Time; Dealing with Odd Distributions; Dealing with Interdependence; Concluding Thoughts;
• Edition: 1st
• Publisher Details: Los Angeles : SAGE
• Publication Date: 2020
• Extent: 1 online resource
• Subjects: 519.502855133; Multivariate analysis; Mathematical statistics -- Data processing; R (Computer program language)
• Languages: English
• ISBNs: 9781071815595
• Notes: 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).
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