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Statistics For Evidence-Based Practice In Nursing
Statistics For Evidence-Based Practice In Nursing
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€67.99
A01=Caroline Mallory
A01=MyoungJin Kim
A01=Teresa Valerio
Age Group_Uncategorized
Age Group_Uncategorized
Author_Caroline Mallory
Author_MyoungJin Kim
Author_Teresa Valerio
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Category1=Non-Fiction
Category=MQ
COP=United States
Delivery_Delivery within 10-20 working days
eq_isMigrated=2
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Language_English
nurse math
nurse technology
nursing boo
nursing math
nursing technology
PA=Available
Price_€20 to €50
PS=Active
softlaunch
Product details
- ISBN 9781284194678
- Publication Date: 23 Dec 2020
- Publisher: Jones and Bartlett Publishers, Inc
- Publication City/Country: US
- Product Form: Hardback
- Language: English
Delivery/Collection within 10-20 working days
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Statistics for Evidence-Based Practice in Nursing, Third Edition teaches graduate students and professional nurses statistics using a readable, student- friendly approach. The Third Edition promotes a comprehensive understanding of statistics in all aspects of clinical practice and health care settings. Due to health care reform and the emphasis on quality care and patient safety, nurses 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.
Key Features:
New evidence-based case studies and real-life examples to reflect current practice and issues in nursing and healthcar
New critical thinking questions and self-quizzes to reinforce key concepts
Written with an eye for clarity and accessibility to help drive student comprehension of statistics
Larger, more complex datasets intended to expose students to the challenges of working with large populations
Updated screenshots of the latest SPSS and Excel procedures for visual representation of statistical analysis in action
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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.
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