Statistics for Evidence-Based Practice in Nursing is an accessible and comprehensive learning tool for nurses returning to graduate school or in a professional role. Peer reviewed and course tested, this text presents statistics in a readable, user-friendly format to meet the learning needs of students. The text includes key terms, critical thinking questions, and case studies incorporating research and evidence-based practice to help nurses connect statistics with everyday work in the healthcare field.
Screenshots throughout each chapter guide students through applying statistics using SPSS
Key terms serve as a tool to guide and focus study
Critical Thinking Questions allow students to apply what they have learned
Self-Quizzes reinforce key concepts at the end of each chapter
Accompanied by Instructor Resources:
Save time with a Test Bank
Plan classroom lectures using PowerPoint Presentations created for each chapter
Review answers to Critical Thinking Questions and Self-Quizzes found in the text
Statistics for Evidence-Based Practice in Nursing
Statistics for Healthcare Professionals
Application of Evidence-based Practice
Chapter 1 Evidence-based Practice in Nursing, or Why do I need to Take Statistics?
Chapter 2 Statistical Essentials
Chapter 3 Statistical Essentials II: Measurement
Chapter 4 Working with IBM SPSS: Statistical Packages for the Social Sciences
Chapter 5 Organizing and Displaying Data
Chapter 6 Descriptive Statistics
Chapter 7 Hypothesis Testing
Chapter 8 Getting Ready for the Analysis
Chapter 9 Examining Relationships Between and Among Variables
Chapter 10 Modeling Relationships
Chapter 11 Tests for Comparing Group Means: Part I
Chapter 12 Tests for Comparing Group Means: Part II
Chapter 13 Nonparametric Tests
Chapter 14 Categorical Data Analysis
Chapter 15 Common Statistical Mistakes
MyoungJin Kim, PhD-Assistant Professor, Mennonite College of Nursing, Illinois State University, Normal, Illinois
Dr. Kim received his PhD in Applied Statistics and Research Methods at University of Northern Colorado. His research interests include statistics education, statistical process control, and statistical methods. His works have been published in Communications in Statistics - Simulation and Computation, Journal of Modern Applied Statistics Methods, Interstat: Statistics on the internet, Journal of Nursing Education, Pan-Asian Journal of Sport & Physical Education. Dr. Kim teaches graduate level statistics courses for both master’s and PhD students, and provides statistical supports for Mennonite College of Nursing faculty and students. Presently, Dr. Kim is assistant professor and college statistician for Mennonite College of Nursing.
Additional Titles by this Author
- ISBN-13: 9781449686659
Caroline Mallory, PhD, RN-Associate Dean for Research, Mennonite College of Nursing, Illinois State University, Normal, Illinois
Dr. Mallory received her PhD in Nursing Science at Indiana University in Indianapolis, and completed a postdoctoral fellowship at the School of Nursing at the University of North Carolina at Chapel Hill. Her research on prevention of HIV/AIDS among women has been funded by the National Institutes of Health and Illinois Department of Public Health and published in Health Care for Women International, Qualitative Health Research, The Journal of the Association of Nurses in AIDS Care, Applied Nursing Research, Research in Nursing & Health, and Journal of Advanced Nursing. Dr. Mallory teaches across nursing undergraduate and graduate curricula, including the PhD program. Presently, Dr. Mallory is professor, graduate program coordinator and Associate Dean for Research at Mennonite College of Nursing.