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Evaluation of statistical approaches in quantitative nursing research
Elizabeth Gross Cohn1, Haomiao Jia, Elaine Larson
1Columbia University, New York, USA.
Clinical Nursing Research
|May 19, 2009
Summary
This study developed a tool to assess statistical methods in nursing research. The evaluation found most published quantitative studies in top nursing journals to be statistically sound, supporting evidence-based practice.
Area of Science:
- Nursing Research
- Quantitative Methods
- Statistical Analysis
Background:
- Assessing the quality of statistical methods in published research is crucial for evidence-based practice.
- A systematic evaluation tool is needed to objectively rate the statistical rigor of quantitative studies.
Purpose of the Study:
- To develop a novel tool for assessing statistical methodologies in research.
- To apply this tool to evaluate the statistical quality of quantitative studies in leading nursing journals.
Main Methods:
- A tool was developed to rate statistical approaches.
- 152 quantitative studies from top-impact nursing journals (Sept 2005 - Aug 2007) were assessed using the tool.
- Scoring criteria evaluated the appropriateness and execution of statistical methods.
Main Results:
- The majority of assessed studies demonstrated high statistical quality, with 45% scoring 80-100% and 22% achieving perfect scores.
- Factors associated with higher statistical scores included interdisciplinary authorship, the presence of a statistician as a coauthor, and a greater number of study aims.
- Overall, the quantitative research in these journals was found to be statistically sound.
Conclusions:
- Quantitative research published in high-impact nursing journals is generally statistically robust.
- The findings support the reliability of these studies for informing evidence-based nursing practice.
- The developed assessment tool can aid in future quality evaluations of research methodologies.
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