Table of Contents

• 1 Introduction to Data Analysis in an Evidence-Based Practice Environment
• 2 Frequency Distribution: Tabulating and Displaying Data
• 3 Central Tendency, Variability, and Location
• 4 Correlation, Crosstabulation, and Risk Indexes: Describing Relationships:
• 5 Statistical Inference
• 6 t Tests
• 7 Analysis of Variance
• 8 Chi Square and Other Nonparametric Tests
• 9 Correlation and Simple Regression
• 10 Multiple Regression
• 11 Analysis of Covariance, MANOVA, and Other Related Multivariate Techniques
• 12 Using Logistic Regression
• 13 Factor Analysis and Internal Consistency Reliability Analysis
• 14 Missing Values
• Appendix A: Theoretical Probability Tables
• Appendix B: Power Analysis/Effect Size Tables
• Appendix C: Tips on Handling Missing Data
• Appendix D: Answers for Selected Exercises

About the Author

Susan Norwood is a professor of nursing at Saint Anselm College in Manchester, New Hampshire, where she teaches critical care nursing, professional nursing, ethics, and understanding suffering. She received her bachelor’s degree from the University of Massachusetts, Amherst, her master’s degree from Boston College, and her PhD from Union Institute and University in Cincinnati, Ohio. She has been a practicing critical care nurse for over 30 years and a member of the American Association of Critical Care Nurses for nearly as long. She has published and presented in the areas of critical care nursing, nursing ethics, nursing history, suffering experienced by patients as well as health care providers, and conflict among members of the health care team.