Statistics for Evidence-Based Practice in Nursing - Kim, Myoungjin; Mallory, Caroline; Valerio, Teresa
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Erscheint vorauss. 13. Februar 2026
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Statistics for Evidence-Based Practice in Nursing, Fourth Edition promotes a comprehensive understanding of statistics in all aspects of clinical practice and health care settings. This text has been thoughtfully designed to meet the learning needs of practicing nurses and advanced practice nursing students to help them engage in evidence-based practice. Praised for its readability, the Fourth Edition teaches students to interpret and evaluate statistical findings in practice. The Fourth Edition is written with clarity and accessibility in mind, helping drive student comprehension of…mehr

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Produktbeschreibung
Statistics for Evidence-Based Practice in Nursing, Fourth Edition promotes a comprehensive understanding of statistics in all aspects of clinical practice and health care settings. This text has been thoughtfully designed to meet the learning needs of practicing nurses and advanced practice nursing students to help them engage in evidence-based practice. Praised for its readability, the Fourth Edition teaches students to interpret and evaluate statistical findings in practice. The Fourth Edition is written with clarity and accessibility in mind, helping drive student comprehension of statistics. Expanded datasets allow for learners to take on more complex practice problems, readying them for real-world application. In addition to featuring the latest SPSS procedures, the new edition presents further instruction using Excel. Readers will appreciate updated case studies, the inclusion of evidence-based practice applications of statistics, and critical thinking questions.
Autorenporträt
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.