An R Companion for Applied Statistics II (eBook)

Multivariable and Multivariate Techniques

Danney Rasco (Autor)

eBook Download: EPUB

2020
288 Seiten
Sage Publications, Inc (Verlag)
978-1-0718-1559-5 (ISBN)

Inhalt

Preface
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

Produkt-Details

• Erscheint lt. Verlag: 14.7.2020
• Verlagsort: Thousand Oaks
• Sprache: englisch
• Themenwelt: Sachbuch/Ratgeber ► Natur / Technik ► Natur / Ökologie
• Themenwelt: Naturwissenschaften
• Schlagworte: An R Companion for Applied Statistics II • Applied Statistics • Danney Rasco • Multivariable and Multivariate Techniques • Multivariate Statistics • Rasco • R software • R statistics
• ISBN-10: 1-0718-1559-8 / 1071815598
• ISBN-13: 978-1-0718-1559-5 / 9781071815595