Abstract

Background: Most of the DNP programs provide only one Biostatistics course for the students, which means instructors have limited time to prepare DNP students in mastering the statistics skills they need to complete their scholarly project. Methods: Quantitative content analysis was conduct on 100 DNP projects to retrieve information regarding the subjects, sample size, sampling strategies, and statistics methods used. These projects were selected from two online DNP projects repositories, where DNP graduates uploaded their projects voluntarily. Results: Almost half of the projects had a sample size less than 50, majority of the studies adopted convenience sampling strategy, and the most often used statistics methods discovered were descriptive analysis, t Test, and Chi square analysis. Conclusion: Small sample size is an intrinsic problem of most DNP projects. The results of this study give DNP students and faculty a more clear teaching map that focuses on skills used most often.

Highlights

  • Doctor of nursing practice (DNP) students’ scholarly projects focus on practical application of existing knowledge [1,2]

  • Statistic Methods Used in Scholarly Projects of Doctor of Nursing Practice

  • Small sample size is an intrinsic problem of most DNP projects

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Summary

Methods

This study utilized the method of quantitative content analysis to review DNP projects completed recently. Doctor of Nursing Practice Inc. is a not for profit organization and it maintains a list of DNP projects submitted since 2007 This list of scholarly projects served as one sampling frame of the study. Due to only a small amount of projects submitted, 50 projects with sufficient information on statistics methods used were selectively included in this study. More than two fifths of the projects from both samples focused on the behavior of either nurses or providers (including medical doctors, physician’s assistants, and nurse practitioners). Among these projects, the most often used statistic method was descriptive analysis, 67% of the projects utilized this method. Other methods used but not included were Fisher exact test, Mann-Whitney test, McNemar test, logistic regression, and odds ratio

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