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Using Learning Outcome Measures to assess Doctoral Nursing Education
Published on: June 21, 2010
Expert-Type Content Validity Applications to Doctor of Nursing Practice Projects
1School of Nursing and Health Sciences, La Salle University, Philadelphia, PA, USA wolf@lasalle.edu.
Developing rigorous doctor of nursing practice (DNP) projects is challenging. Expert content validity methods enhance DNP project rigor by systematically evaluating project components, ensuring quality improvement in clinical problem-solving.
Area of Science:
- Nursing Education
- Healthcare Quality Improvement
- Research Methodology
Background:
- Doctoral students and faculty face challenges in developing rigorous Doctor of Nursing Practice (DNP) projects.
- Expert content validity methods are increasingly applied to enhance the rigor of clinical DNP projects.
- Students utilize expert content validity processes for literature-based project components.
Purpose of the Study:
- To describe DNP project developmental phases within a DNP program.
- To explore expert content validity methods for increasing DNP project rigor.
- To examine literature on applying expert content validity and scoring to DNP project components.
Main Methods:
- Describing expert content validity methods for DNP projects (e.g., guidelines, teaching plans, algorithms).
- Utilizing expert content validity to evaluate components derived from content analysis.
- Presenting types of expert panelists and scoring ranks for different validity strategies.
Main Results:
- Outlining steps to support expert content validity processes in DNP projects.
- Demonstrating the application of expert judgment to assess project components.
- Providing frameworks for expert content validity and scoring approaches.
Conclusions:
- Doctor of Nursing Practice projects require systematic construction for quality improvement on clinical problems.
- Expert content validity is a viable strategy for enhancing the rigor of DNP projects.
- An outline is provided for establishing expert content validity in translational DNP projects.
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