Author:
Stanton, Jeffrey M., 1961-
ImprintNew York : The Guilford Press, [2017]
Imprint2017
Descriptionx, 325 pages : illustrations ; 26 cm
Note:1. Statistical Vocabulary. Descriptive Statistics ; Measures of Central Tendency ; Measures of Dispersion ; Distributions and Their Shapes ; Conclusion ; Exercises -- 2. Reasoning with Probability. Outcome Tables ; Contingency Tables ; Conclusion ; Exercises -- 3. Probabilities in the Long Run. Sampling ; Repetitious Sampling with R ; Using Sampling Distributions and Quantiles to Think about Probabilities ; Conclusion ; Exercises -- 4. Introducing the Logic of Inference Using Confidence Intervals. Exploring the Variability of Sample Means with Repetitious Sampling ; Our First Inferential Test: The Confidence Interval ; Conclusion ; Exercises -- 5. Bayesian and Traditional Hypothesis Testing. The Null Hypothesis Significance Test ; Replication and the NHST ; Conclusion ; Exercises -- 6. Comparing Groups and Analyzing Experiments. Frequentist Approach to ANOVA ; Bayesian Approach to ANOVA ; Finding an Effect ; Conclusion ; Exercises -- 7. Associations between Variables. Inferential Reasoning about Correlation ; Null Hypothesis Testing on the Correlation ; Bayesian Tests on the Correlation Coefficient ; Categorical Associations ; Exploring the Chi-Square Distribution with a Simulation ; The Chi-Square Test with Real Data ; Bayesian Approach to the Chi-Square Test ; Conclusion ; Exercises -- 8. Linear Multiple Regression. Bayesian Approach to Linear Regression ; A Linear Regression Model with Real Data ; Conclusion ; Exercises -- 9. Interactions in ANOVA and Regression. Interactions in ANOVA ; Interactions in Multiple Regression ; Bayesian Analysis of Regression Interactions ; Conclusion ; Exercises -- 10. Logistic Regression. A Logistic Regression Model with Real Data ; Bayesian Estimation of Logistic Regression ; Conclusion ; Exercises -- 11. Analyzing Change over Time. Repeated Measures Analysis ; Time-Series Analysis ; Exploring a Time Series with Real Data ; Finding Change Points in Time Series ; Probabilities in Change-Point Analysis ; Conclusion ; Exercises -- 12. Dealing with Too Many Variables. Internal Consistency Reliability ; Rotation ; Conclusion ; Exercises -- 13. All Together Now. The Big Picture -- Appendix A. Getting Started with R. Running R and Typing Commands ; Installing Packages ; Quitting, Saving, and Restoring ; Conclusion -- Appendix B. Working with Data Sets in R. Data Frames in R ; Reading into Data Frames from External Files -- Appendix C. Using dplyr with Data Frames -- References -- Index -- About the Author.
Bibliography Note:Includes bibliographical references (pages 313-315) and index.
