STATISTICS FOR NURSING AND ALLIED HEALTH

Author: Stacey Plichta, ScD, Laurel Garzon, PhD, PNP
Affiliation: Hunter College, City University of New York, NY
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

  • ABOUT
  • DEDICATION
  • Reviewer List
  • Preface

Using Research and Statistics in Health Care

  • Learning Objectives
  • UNDERSTANDING THE ROLE OF EMPIRICAL RESEARCH
  • TYPES OF RESEARCH STUDIES AND STATISTICS
  • TEN STEPS TO BUILDING A STUDY PLAN
  • Chapter Review
  • Chapter Review ANSWERS
  • Bibliography

Descriptive Statistics: Getting to Know the Data

  • Learning Objectives
  • LANGUAGE OF STATISTICS
  • ORGANIZING AND DISPLAYING DATA
  • DESCRIBING DATA WITH SIMPLE STATISTICS
  • OBTAINING FREQUENCY TABLES, DESCRIPTIVE STATISTICS, AND HISTOGRAMS IN SPSS
  • Chapter Review
  • Chapter Review ANSWERS
  • Bibliography

Building Blocks for Using Inferential Statistics

  • Learning Objectives
  • PROBABILITY
  • NORMAL (GAUSSIAN) DISTRIBUTION
  • Chapter Review
  • Chapter Review ANSWERS
  • Bibliography

Inferential Statistics: Finding Relationships in the Data

  • Learning Objectives
  • USING INFERENTIAL STATISTICS
  • FORMULATING HYPOTHESES
  • TESTING HYPOTHESES
  • USING THE SIX-STEP PROCESS WITH THE ONE-SAMPLE z-TEST
  • USING THE SIX-STEP PROCESS WITH THE ONE-SAMPLE t-TEST
  • TYPES OF ERRORS
  • POWER OF A STUDY
  • Chapter Review 4
  • Chapter Review ANSWERS
  • Bibliography

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

  • Learning Objectives
  • OVERVIEW OF THE INDEPENDENT t-TEST AND THE MANN-WHITNEY U-TEST
  • INDEPENDENT t-TEST STATISTIC
  • MANN-WHITNEY U-TEST
  • Chapter Review 5
  • Chapter Review ANSWERS
  • Bibliography

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

  • Learning Objectives
  • OVERVIEW OF THE PAIRED t-TEST AND THE WILCOXON MATCHED-PAIRS TEST
  • PAIRED t-TEST
  • WILCOXON MATCHED-PAIRS TEST
  • Chapter Review 6
  • Chapter Review ANSWERS
  • Bibliography

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

  • Learning Objectives
  • OVERVIEW OF THE ONE-WAY ANOVA AND THE KRUSKAL-WALLIS H-TEST
  • ONE-WAY ANOVA
  • KRUSKAL-WALLIS H-TEST
  • Chapter Review 7
  • Chapter Review ANSWERS
  • Bibliography

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

  • Learning Objectives
  • OVERVIEW OF THE REPEATED-MEASURES ANOVA AND THE FRIEDMAN’S ANOVA BY RANK
  • REPEATED-MEASURES ANOVA
  • FRIEDMAN’S ANOVA BY RANK
  • Chapter Review 8
  • Chapter Review ANSWERS
  • Bibliography

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

  • Learning Objectives
  • OVERVIEW OF THE PEARSON AND THE SPEARMAN CORRELATION COEFFICIENTS
  • THE PEARSON CORRELATION COEFFICIENT
  • THE SPEARMAN CORRELATION COEFFICIENT
  • Chapter Review 9
  • Chapter Review ANSWERS
  • Bibliography

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

  • Learning Objectives
  • INTRODUCTION TO CROSS-TABULATION TABLES
  • CHI-SQUARE STATISTIC: TESTING THE STATISTICAL SIGNIFICANCE OF A CROSS-TABULATION TABLE
  • THE McNEMAR TEST
  • Chapter Review
  • Chapter Review ANSWERS
  • Bibliography

Model Building With Linear and Logistic Regression

  • Learning Objectives
  • INTRODUCTION TO MODEL BUILDING
  • SIMPLE LINEAR REGRESSION MODEL
  • MULTIPLE LINEAR REGRESSION MODEL
  • MULTIPLE LOGISTIC REGRESSION MODELS
  • Chapter Review
  • Chapter Review ANSWERS
  • Bibliography

Writing for Publication

  • Learning Objectives
  • INTRODUCTION
  • PARTS OF A MANUSCRIPT
  • WHAT AUTHORS NEED TO KNOW ABOUT REDUNDANT PUBLICATION
  • Chapter Review 12
  • Chapter Review ANSWERS
  • Bibliography

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