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Klappentext 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. Zusammenfassung Provides students with a foundation for understanding data analysis and specific statistical techniques. Focusing on the statistical methods in health care literature! this book covers essential material for a variety of program levels including courses beyond the basic statistics course. Inhaltsverzeichnis 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 chi2 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 chi2 Probability Bibliography Index ...
