Statistics and Research Design for the DNP Project

Preface
Acknowledgments
Introduction

Chapter 1. Research Design

• The Quantitative Approach
• The Qualitative Research Approach
• Mixed-Method Approach
• Delphi Approach

Chapter 2. Sampling

• Probability Sampling
• Non-Probability Sampling
• Sample Size
• Type I and Type II Errors
• A Priori Analysis

Chapter 3. Project Variables

• Types of Research Variables
• Variable Measurement

Chapter 4. Codebook

• Data Coding
• Data Entry
• Data Manipulation
• Qualitative Coding
• Qualitative Software

Chapter 5. Choosing the Right Statistic

• Chi-Square
• Partial Correlation
• Pearson’s Correlation/Spearman’s Rho
• Multiple Regression
• Independent Samples T-Test/Mann Whitney U Test
• Paired Samples T-Test/Wilcoxon Signed Rank Test
• One-Way Between Groups Analysis of Variance/Kruskalwallis Test
• Two-Way Between Groups Analysis of Variance
• Mixed Between-Within Analysis of Variance
• Multivariate Analysis of Variance
• Analysis of Covariance
• Parametric Assumptions
• Independence of Observations
• Random Sampling
• Level of Measurement
• Homogeneity of Variance
• Sample Size
• Missing Data
• Outliers
• Type I and Type II Errors
• Effect Size
• Descriptive Statistics
• Frequency
• Percentage
• Reliability and Validity Testing

Chapter 6. Statistics to Explore Relationships

• Pearson Product-Moment Correlation
• Spearman Rank Order Correlation
• Partial Correlation

Chapter 7. Statistics Used to Predict Outcomes

• Regression Statistical Assumptions
• Standard Multiple Regression
• Hierarchical Multiple Regression
• Logistic Regression

Chapter 8. Statistics Used to Compare Groups: Nonparametric Tests

• Nonparametric Statistics
• McNemar’s Test
• Cochran’s Q Test
• Kappa Measure of Agreement
• Mann-Whitney U Test
• Wilcoxon Signed Rank Test
• Kruskal-Wallis Test
• Friedman Test

Chapter 9. Statistics Used to Compare Groups: Parametric Tests

• Parametric Statistics
• Independent Samples T-Test
• Paired Samples T-Test

Chapter 10. Statistics Used to Determine Variances Among Groups

• One-Way Analysis of Variance
• One-Way Between Groups Analysis of Variance (ANOVA) with Planned Comparisons
• One-Way Repeated Measures Analysis of Variance
• Two-Way Between Groups Analysis of Variance (ANOVA)

Chapter 11. Advanced ANOVA Statistics

• Mixed Between-Within Subjects Analysis of Variance (ANOVA)
• Multivariate Analysis of Variance
• One-Way Analysis of Covariance
• Two-Way Analysis of Covariance

Appendix I: About the Skalsky Clinical Judgment Scale
Glossary of Terms
References
Index