Document Type

Article

Publication Date

2-2024

Publisher

Juniper Publishers

Source Publication

Biostatistics and Biometrics

Source ISSN

2573-2633

Abstract

Background: In quantitative nursing research, a comprehensive reporting of results is crucial. Researchers should not only include traditional statistical significance with p-values but also effect size, confidence interval, observed statistical power, and clinical relevance to provide a more holistic understanding of their findings. Objective: This article addresses key aspects of results reporting in nursing and clinical research. It delves into the importance and interplay of statistical significance, effect size, confidence interval, statistical power, and clinical relevance, and how these elements collectively contribute to a more meaningful interpretation of research outcomes. Method: The article discusses the outcome measures in clinical research, emphasizing the need to consider their magnitude, precision, and clinical relevance. It offers guidelines for reporting effect size, confidence intervals, and observed statistical power in conjunction with statistical significance to enhance the quality and applicability of research findings. Conclusion: Incorporating effect size, confidence interval, observed statistical power, and clinical relevance is essential for a complete and informative presentation of results in nursing research. These elements together provide a more nuanced and practically applicable understanding of research outcomes, thereby enhancing the impact of the research on clinical practice.

Comments

Published version. Biostatistics and Biometrics, Vol. 11, No. 4 (February 2024). DOI. © 2024 Juniper Publishers. Used with permission.

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

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