Statistics for Evidence-Based Practice in Nursing - Kim, MyoungJin; Mallory, Caroline; Valerio, Teresa
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Statistics for Evidence-Based Practice in Nursing, Third 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 Third Edition teaches students to interpret and evaluate statistical findings in practice. The Third Edition is written with clarity and accessibility in mind, helping drive student comprehension of statistics.…mehr

Produktbeschreibung
Statistics for Evidence-Based Practice in Nursing, Third 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 Third Edition teaches students to interpret and evaluate statistical findings in practice. The Third 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. New to the Third Edition: - New evidence-based case studies reflect current practices and issues in nursing. - New critical thinking questions and self-quizzes reinforce key concepts. - Complex datasets simulate working with large populations. - Updated screenshots from SPSS and Excel procedures.
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.