MUNRO’S Statistical Methods for Health Care Research SIXTH EDITION Stacey B. Plichta, ScD, CPH Professor CUNY School of Public Health at Hunter College New York, New York Elizabeth A. Kelvin, PhD, MPH Assistant Professor CUNY School of Public Health at Hunter College New York, New York

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MUNRO’S Statistical Methods for Health Care Research SIXTH EDITION Stacey B. Plichta, ScD, CPH Professor CUNY School of Public Health at Hunter College New York, New York Elizabeth A. Kelvin... , PhD, MPH Assistant Professor CUNY School of Public Health at Hunter College New York, New York Preface v Section 1: Obtaining and Understanding Data 1 Chapter 1: Using Research and Statistics in Health Care 3 Chapter 2: Organizing, Displaying, and Describing Data 19 Chapter 3: Key Principles Underlying Statistical Inference: Probability and the Normal Distribution 61 Chapter 4: Hypothesis Testing with Inferential Statistics 77 Section 2: Analyzing the Data 91 Chapter 5: The Independent t Test and the Mann-Whitney U-Test: Measuring the Differences Between the Means of Two Unrelated Groups 93 Chapter 6: The Paired t Test and the Wilcoxon Matched-Pairs Signed Rank Test: Comparing the Means/Medians of Two Related Groups 127 Chapter 7: The One-Way ANOVA and the Kruskal-Wallis H-Test: Comparing the Means of Three or More Unrelated Groups 151 Chapter 8: Differences Among Group Means: N-Way ANOVA and MANOVA 185 Chapter 9: Comparing the Means of Three or More Related Groups: Repeated- Measures ANOVA and Friedman’s ANOVA by Rank 215 Chapter 10: Comparing Means and Controlling for Covariates: ANCOVA 247 Chapter 11: Correlation Coeffi cients: Measuring the Association of Two Variables 263 Chapter 12: Examining Cross-Tabulations: The Chi-Square and Associated Statistics 289 Section 3: Model Building and Presentation 317 Chapter 13: Statistical Model Building and Logistic Regression 319 Chapter 14: Linear Regression 339 Chapter 15: Exploratory Factor Analysis 371 Chapter 16: Path Analysis 399 Chapter 17: Structural Equation Modeling 419 Chapter 18: Writing and Presenting for Publication 445 Appendices and Other End of Book Items Glossary 455 Answers to Chapter Review Questions 465 Appendix A: Entering Data into SPSS 511 Appendix B: Percent of Total Area of Normal Curve Between a z-Score and the Mean 519 Appendix C: Distribution of t 521 Appendix D: Critical Values of the U-Statistic 523 Appendix E: Critical Values of the Wilcoxon Signed-Rank Statistic 525 Appendix F: The 5% and 1% Points for the Distribution of F 527 Appendix G: Critical Values of H for the Kruskal- Wallis ANOVA by Rank 535 Appendix H: Critical Values of Dunn’s Q for Nonparametric Multiple Comparison Testing 537 Appendix I: Exact Distribution of the Friedman’s χ2 for the Friedman’s ANOVA by Rank Comparing Three Related Groups 539 Appendix J: Critical Values of the Pearson Correlation Coeffi cient 541 Appendix K: Critical Values of the Spearman Correlation Coeffi cient 543 Appendix L: Distribution of χ2 Probability 545 References 547 [Show More]

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