Statistics for Nursing and Allied Health
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...
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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.
1 Using Research and Statistics in Health Care 12 Descriptive Statistics: Getting to Know the Data 203 Building Blocks for Using Inferential Statistics 594 Inferential Statistics: Finding Relationships in the Data 815 The Independent t-Test and the Mann-Whitney U-Test: Comparing the Means of Two Unrelated Groups 1026 The Paired t-Test and the Wilcoxon Matched-Pairs Test: Comparing the Means of Two Related Groups 1397 The One-Way ANOVA and the Kruskal-Wallis H-Test: Comparing the Means of Three or More Unrelated Groups 1718 The Repeated-Measures ANOVA and the Friedman's ANOVA by Rank: Comparing the Means of Three or More Related Groups 2139 The Pearson and Spearman Correlation Coefficients: Measuring the Association of Two Variables 26010 The Chi-Square Statistic and the McNemar Test: Examining Relationships Between Categorical Variables 29111 Model Building With Linear and Logistic Regression 32812 Writing for Publication 375 Appendix A Percent of Total Area of Normal Curve Between a z-Score and the Mean 385 Appendix B Critical Values of the Student t-Statistic 387 Appendix C Critical Values of "U" for the Mann-Whitney U-Test 389 Appendix D Critical Values of "T," the Wilcoxon Signed-Rank Statistic 391 Appendix E Critical Values of "F" for Testing ANOVA Models 393 Appendix F Critical Values of "H" for the Kruskal-Wallis ANOVA by Rank 397 Appendix G Critical Values of Dunn's Q for Nonparametric Multiple Comparison Testing 399 Appendix H Exact Distribution of the Friedman's x[subscript r superscript 2] for the Friedman's ANOVA by Rank Comparing Three Related Groups 400 Appendix I Significant Values of the PearsonCorrelation Coefficient 402 Appendix J Critical Values of the Spearman Correlation Coefficient 404 Appendix K Significant Values of the Chi-Square Statistic 406 Glossary 408 Index 415
