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This introductory textbook explores the role of research in health care and focuses in particular on the importance of organizing and describing research data using basic statistics. The goal of the text is to teach students how to analyze data and present the results of evidence-based data analysis. Based on the commonly-used SPSS software, a comprehensive range of statistical techniques—both parametric and non-parametric—are presented and explained. Examples are given from nursing, health administration, and health professions, followed by an opportunity for students to immediately practice the technique.
Opis
Chapter One: Using Research and Statistics In Health Care
Chapter Two: Descriptive Statistics: Getting to Know the Data
Chapter Three: Building Blocks for Using Inferential Statistics
Chapter Four: Inferential Statistics: Finding Relationships in the Data
Chapter Five: The Independent T-test and the Mann-Whitney U-test: Comparing the Means
Chapter Six: The Paired T-test and the Wilcoxon Matched-pairs Test: Comparing the Means of Two Related Groups
Chapter Seven: The One-way ANOVA and the Kruskal-Wallis ANOVA: Comparing the Means of Three or More Unrelated Groups
Chapter Eight: The Repeated-measures ANOVA and the Friedmans ANOVA by Rank: Comparing the Means of Three or More Related Groups
Chapter Nine: The Pearson and the Spearman Correlation Coefficients: Measuring the Association of Two Variables
Chapter Ten: The Chi-square Statistic and the McNemar Test: Examining Relationships between Categorical Variables
Chapter Eleven: Model Building with Linear and Logistic Regression
Chapter Twelve: Writing for Publication
Appendix A Percent of Total Area of Normal Curve Between a z-Score and the Meam
Appendix B Critical Values of the Student t-Statistic
Appendix C Critical Values of U for the Mann-Whitney U-Test
Appendix D Critical Values of T, the Wilcoxon Signed-Rank Statistic 391 Appendix E Critical Values of F for Testing ANOVA Models
Appendix F Critical Values of H for the Kruskal-Wallis ANOVA by Rank
Appendix G Critical Values of Dunns Q for Nonparametric Multiple Comparison Testing
Appendix H Exact Distribution of the Friedmans Xr 2 for the Friedmans ANOVA by Rank Comparing Three Related Groups
Appendix I Significant Values of the Pearson Correlation Coefficient
Appendix J Critical Values of the Spearman Correlation Coefficient
Appendix K Significant Values of the Chi-Square Statistic
Glossary
Index