STATISTICS FOR NURSING AND ALLIED HEALTH

Author: Stacey Plichta, ScD, Laurel Garzon, PhD, PNP
Publisher: Lippincott Williams & Wilkins
Publication Date: 2009
ISBN 10: 0781754593
ISBN 13: 9780781754590
Edition: 1st

Description:

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.

Table of Contents

Front Matter

Using Research and Statistics in Health Care

Descriptive Statistics: Getting to Know the Data

Building Blocks for Using Inferential Statistics

Inferential Statistics: Finding Relationships in the Data

The Independent t-Test and the Mann-Whitney U-Test: Comparing the Means of Two Unrelated Groups

The Paired t-Test and the Wilcoxon Matched-Pairs Test: Comparing the Means of Two Related Groups

The One-Way ANOVA and the Kruskal-Wallis H-Test: Comparing the Means of Three or More Unrelated Groups

The Repeated-Measures ANOVA and the Friedman’s ANOVA by Rank: Comparing the Means of Three or More Related Groups

The Pearson and Spearman Correlation Coefficients: Measuring the Association of Two Variables

The Chi-Square Statistic and the McNemar Test: Examining Relationships Between Categorical Variables

Model Building With Linear and Logistic Regression

Writing for Publication

Appendix A Percent of Total Area of Normal Curve Between a z-Score and the Mean

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

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 Dunn’s Q for Nonparametric Multiple Comparison Testing

Appendix H Exact Distribution of the Friedman’s X r 2 for the Friedman’s 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