Statistics for Nursing and Allied Health is an introductory textbook exploring the role of research in health care. It 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.

Contents

1. Using Research and Statistics In Health Care
2. Descriptive Statistics: Getting to Know the Data
3. Building Blocks for Using Inferential Statistics
4. Inferential Statistics: Finding Relationships in the Data
5. The Independent T-test and the Mann-Whitney U-test: Comparing the Means
6. The Paired T-test and the Wilcoxon Matched-pairs Test: Comparing the Means of Two Related Groups
7. The One-way ANOVA and the Kruskal-Wallis ANOVA: Comparing the Means of Three or More Unrelated Groups
8. The Repeated-measures ANOVA and the Friedman's ANOVA by Rank: Comparing the Means of Three or More Related Groups
9. The Pearson and the Spearman Correlation Coefficients: Measuring the Association of Two Variables
10. The Chi-square Statistic and the McNemar Test: Examining Relationships between Categorical Variables
11. Model Building with Linear and Logistic Regression
12. Writing for Publication

Appendices

• Percent of Total Area of Normal Curve Between a z-Score and the Meam
• Critical Values of the Student t-Statistic
• Critical Values of "U" for the Mann-Whitney U-Test
• Critical Values of "T," the Wilcoxon Signed-Rank Statistic
• Critical Values of "F" for Testing ANOVA Models
• Critical Values of "H" for the Kruskal-Wallis ANOVA by Rank
• Critical Values of Dunn's Q for Nonparametric Multiple Comparison Testing
• Exact Distribution of the Friedman's Xr 2 for the Friedman's ANOVA by Rank Comparing Three Related Groups
• Significant Values of the Pearson Correlation Coefficient
• Critical Values of the Spearman Correlation Coefficient
• Significant Values of the Chi-Square Statistic

Index

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