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[Qualitative methods in empirical health research. V. Analyzing data and coding procedures]
M Maunsbach1, B Dehlholm-Lambertsen
1Institut og Forskningsenhed for Almen Medicin, Arhus C.
Nordisk Medicin
|June 1, 1997
Summary
This article provides a general procedure for qualitative data analysis, covering interpretation, coding, and data presentation. It offers practical examples and guidelines for researchers working with qualitative information.
Area of Science:
- Social Sciences
- Health Sciences
Background:
- Qualitative data analysis is crucial for understanding complex phenomena.
- A systematic approach is needed for reliable interpretation and presentation.
Purpose of the Study:
- To outline a general working procedure for qualitative data analysis.
- To provide theoretical constructs for data interpretation.
- To guide researchers in data processing, coding, and presentation.
Main Methods:
- Presentation of theoretical constructs for qualitative data interpretation.
- Discussion of data processing techniques, including coding.
- Inclusion of examples for coding and interpretation.
- Guidelines for data presentation.
Main Results:
- A structured procedure for qualitative data analysis is presented.
- Key concepts for interpreting qualitative data are explained.
- Practical examples illustrate coding and interpretation processes.
Conclusions:
- The article offers a comprehensive framework for conducting qualitative data analysis.
- Researchers can utilize the provided guidelines for systematic data handling and reporting.