Statistics for Evidence-Based Practice in Nursing [With Access Code]

Each new print copy includes Navigate 2 Advantage Access that unlocks a comprehensive and interactive eBook, student practice activities and assessments, a full suite of instructor resources, and learning analytics reporting tools.
Statistics for Evidence-Based Practice in Nursing, Second Edition presents statistics in a readable, user-friendly manner for both graduate students and the professional nurse. This text is designed to promote a comprehensive understanding of statistics as applied in all aspects of clinical practice and health care settings. Due to health care reform and the emphasis on quality care and patient safety, nurse are required to have the skills to interpret and evaluate statistical findings for practice, as well as use statistics in the design of evidence-based practice projects. The Second Edition features case studies which reinforce learning by incorporating research and evidence-based practice to help students and professional nurses connect statistics with their day-to-day work.

Statistics for Evidence-Based Practice in Nursing, Second Edition addresses the important topic of big data by outlining the challenges and opportunities for nurse leaders in practice as well as in education. The text also discusses how the use of big data will influence the future of evidence-based practice in nursing.

• New content emphasizing the dynamic nature of the healthcare environment, policy, and evidence-based practice concepts
• New chapter on trends in statistics in nursing
• Updated screen shots and new procedures for using latest SPSS application
• Expand sample data sets for use in instructor and student resources

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.

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.