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Research in primary dental care Part 6: Data analysis
A C Williams1, E J Bower, J T Newton
1Department of Child Dental Health, University of Bristol Dental School, Lower Maudlin St, Bristol BS1 2LY.
British Dental Journal
|July 24, 2004
Summary
This guide explains data analysis for research, covering both quantitative and qualitative methods. It emphasizes linking analysis back to the original research question and suggests statistical tools.
Area of Science:
- Research Methodology
- Data Science
Background:
- Data analysis is crucial for answering research questions.
- Both quantitative and qualitative data require specific analytical approaches.
Purpose of the Study:
- To provide a comprehensive overview of data analysis techniques.
- To guide researchers in selecting appropriate statistical methods for quantitative data.
- To assist in choosing suitable software for data analysis.
Main Methods:
- Discussion of qualitative data analysis principles.
- Explanation of quantitative data analysis, including statistical choices.
- Recommendations for data analysis software.
Main Results:
- Data analysis should directly address the initial research question.
- Appropriate statistical methods enhance the validity of quantitative findings.
- Software selection impacts the efficiency and scope of data analysis.
Conclusions:
- Effective data analysis links directly to the research question.
- Choosing the right statistical approach is vital for quantitative studies.
- Utilizing appropriate software facilitates robust data analysis.
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