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Statistical challenges in nursing education and research: an expert panel consensus
Matthew J Hayat1, Melinda Higgins, Todd A Schwartz
1Author Affiliations: Associate Professor and Biostatistician (Dr Hayat), School of Public Health, Georgia State University, Atlanta; Associate Professor and Biostatistician (Dr Higgins), School of Nursing, Emory University, Atlanta, Georgia; Research Associate Professor and Biostatistician (Dr Schwartz), Department of Biostatistics, Gillings School of Global Public Health, School of Nursing, University of North Carolina at Chapel Hill; and Research Assistant Professor, and Biostatistician (Dr Staggs), Department of Biostatistics and School of Nursing, University of Kansas Medical Center, Kansas City.
Expert statisticians identified key challenges in nursing research and education, focusing on statistics perception, collaboration, and literature use. Addressing these is crucial for advancing nursing science.
Area of Science:
- Nursing Research
- Statistical Science
- Academic Medicine
Background:
- Expert panel discussion on "Statistical Challenges in Nursing Research" at the 2013 Joint Statistical Meetings.
- Panelists were doctorally prepared statisticians from US academic nursing programs.
- Focus on challenges in statistics application within nursing education and research.
Purpose of the Study:
- To summarize the key statistical challenges identified by experts in nursing research and education.
- To highlight areas for improvement in the use and perception of statistics in the nursing field.
Main Methods:
- Expert panel discussion.
- Identification and categorization of statistical challenges in nursing.
Main Results:
- Five key domains of challenges were identified:
- Perceptions about statistics in nursing.
- Roles and responsibilities of statisticians.
- Interdisciplinary collaboration between statisticians and nurse investigators.
- Statistics education for nurses.
- Utilization of statistics in nursing literature.
Conclusions:
- The identified domains represent critical areas needing attention to enhance statistical rigor in nursing.
- Addressing these challenges is essential for improving the quality and impact of nursing research and education.
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