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Teaching quantitative and qualitative analysis to undergraduate students.
L E Sheilds1, J H Brunt, P J Milliken
1School of Nursing, University of Victoria, British Columbia, Canada.
The Journal of Nursing Education
|April 2, 1999
Summary
This study introduces an interdisciplinary course to integrate data analysis skills for undergraduate nursing students. This approach aims to make data analysis a core component of nursing inquiry and practice.
Area of Science:
- Nursing Education
- Data Analysis
- Research Methodology
Background:
- Traditional nursing education includes a statistics course and limited analysis discussion.
- Students often fail to connect data analysis to their nursing practice.
- Integrating data analysis is crucial for developing nursing inquiry skills.
Purpose of the Study:
- To describe an innovative interdisciplinary course for teaching quantitative and qualitative data analysis.
- To embed data analysis instruction within core nursing inquiry courses.
- To enhance undergraduate nursing students' ability to use data analysis in practice.
Main Methods:
- An interdisciplinary course was developed and implemented.
- The course focused on quantitative and qualitative analysis techniques.
- Instruction was integrated into three required inquiry courses: knowledge development, nursing inquiry, and nursing research.
Main Results:
- The course provides a structured approach to teaching data analysis.
- Students are better positioned to incorporate analysis into their nursing inquiry.
- The interdisciplinary model facilitates skill development.
Conclusions:
- Integrating data analysis into nursing inquiry courses is effective.
- This approach enhances students' research repertoire and practice readiness.
- Interdisciplinary collaboration improves data analysis education for nurses.