Chapter 1: Using Research and Statistics in Health Care
Chapter 2: Descriptive Statistics: Getting to Know the Data
Chapter 3: Key Principles of Statistical Inference
Chapter 4: Hypothesis Testing with Inferential Statistics
Section 2: Analyzing the Data
Chapter 5: Measuring the Differences Between the Means Two Unrelated Group Means: Independent t-tests and Mann-Whitney U-tests
Chapter 6: Measuring the Differences Between the Means of Two Related Groups: Paired t-tests and Wilcoxon Matched Pairs tests
Chapter 7: Measuring the Differences Between the Means of Three or More Unrelated Groups: One -Way ANOVAs and the Kruskal-Wallis H-tests
Chapter 8: Differences Among the Means of Three or More Unrelated Groups Defined by Two or More Independent Variables: N-Way ANOVA
Chapter 9: Comparing the Means of Three or More Related Groups: Repeated Measures ANOVA and Friedman’s ANOVA by Rank
Chapter 10: Analysis of Covariance (ANCOVA)
Chapter 11: Measuring the Association of two Variables: Pearson and Spearman Correlation
Chapter 12: Examining Cross tabulations: The Chi-square Statistic and The McNemar Test
Section 3: Model Building and Presentation
Chapter 13: Logistic Regression
Chapter 14: Linear Regression and Regression Diagnostic
Chapter 15: Factor Analysis
Chapter 16: Path Analysis
Chapter 17: Structural Equation Modeling
Chapter 18: Writing for Presentation and Publication
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