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Statistical Primer for Athletic Trainers: The Difference Between Statistical and Clinical Meaningfulness.
Bryan L Riemann1, Monica Lininger2
1Department of Health Sciences, Armstrong State University, Savannah, GA;
Journal of Athletic Training
|January 16, 2016
Summary
Statistical significance indicates chance influence, while clinical meaningfulness shows relevance to practice. Athletic trainers need to grasp both to integrate research effectively.
Area of Science:
- Athletic Training
- Sports Medicine Research
- Evidence-Based Practice
Background:
- Understanding research statistics is a significant challenge for certified athletic trainers.
- This knowledge gap hinders the integration of research findings into clinical practice.
- Bridging this gap is crucial for advancing athletic training.
Purpose of the Study:
- To clarify the concepts of statistical significance and clinical meaningfulness.
- To offer guidance for evaluating the clinical meaningfulness of research studies.
- To enhance the ability of athletic trainers to interpret and apply research.
Main Methods:
- Differentiating statistical significance (chance influence) from clinical meaningfulness (practical relevance).
- Highlighting key factors influencing statistical significance, such as sample size.
- Emphasizing the consumer role of athletic trainers in research interpretation.
Main Results:
- Statistical significance is influenced by factors like sample size, indicating the role of chance.
- Clinical meaningfulness assesses the practical relevance and impact of study findings in athletic training.
- A clear distinction is necessary for accurate research appraisal.
Conclusions:
- Authors should provide essential elements for interpreting statistical significance.
- Researchers must discuss the clinical meaningfulness of their statistically significant findings.
- This facilitates clinicians' evaluation and application of research in athletic training practice.
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