This text provides students with a solid foundation for understanding data analysis and specific statistical techniques. Focusing on the most current and frequently used statistical methods in today's health care literature, the book covers essential material for a variety of program levels including in-depth courses beyond the basic statistics course. Well-organized, clear text discussions and great learning tools help students overcome the complexities and fully comprehend the concepts of this often intimidating area of study.
Section 1: Obtaining and Understanding Data
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
Appendices and other end of book items
Glossary
Appendix A: Entering Data into SPSS
Appendix B: Percent of Total Area of Normal Curve Between a z-score and the Mean
Appendix C: Distribution of t
Appendix D: Critical Values of the U-statistic
Appendix E: Critical Values of the Wilcoxon Signed-Rank Statistic
Appendix F: The 5% and 1% Points for the Distribution of F
Appendix G: Critical Values of H for the Kruskal-Wallis ANOVA by Rank
Appendix H: Critical Values of Dunn's Q for Nonparametric Multiple Comparison Testing
Appendix I: Exact Distribution of the Friedman's ?2 for the Friedman'Xs ANOVA by Rank Comparing Three Related Groups
Appendix J: Critical Values of the Pearson Correlation Coefficient
Appendix K: Critical Value of the Spearman Correlation Coefficient
Appendix L: Distribution of ?2 Probability
Bibliography
Index
