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Introduction to Statistical Hypothesis Testing in Nursing Research
Courtney Keeler1, Alexa Colgrove Curtis
1Courtney Keeler is an associate professor and Alexa Colgrove Curtis is assistant dean of graduate nursing and director of the MPH-DNP dual degree program, both at the University of San Francisco School of Nursing and Health Professions. Contact author: Courtney Keeler, ckeeler@usfca.edu . Bernadette Capili, PhD, NP-C, is the column coordinator: bcapili@rockefeller.edu . This manuscript was supported in part by grant No. UL1TR001866 from the National Institutes of Health's National Center for Advancing Translational Sciences Clinical and Translational Science Awards Program. The authors have disclosed no potential conflicts of interest, financial or otherwise.
Abstract:
Editor's note: This is the 16th article in a series on clinical research by nurses. The series is designed to be used as a resource for nurses to understand the concepts and principles essential to research. Each column will present the concepts that underpin evidence-based practice-from research design to data interpretation. To see all the articles in the series, go to https://links.lww.com/AJN/A204.
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