Refining an emergent life-style-change theory through matrix analysis.

Area of Science:

• Qualitative Research Methods
• Data Analysis Techniques

Background:

• Qualitative data analysis involves complex integrative functions.
• Systematic methods are crucial for data verification and analysis.

Purpose of the Study:

• To detail the steps of qualitative data analysis using matrix analysis.
• To outline conditions, procedures, and applications of matrix analysis.
• To demonstrate matrix analysis for theory refinement and ensuring research trustworthiness.

Main Methods:

• Systematic entry of qualitative data into matrices.
• Simultaneous data analysis and verification of findings.
• Application to a health life-style-change process theory.

Main Results:

• Matrix analysis facilitates structured qualitative data analysis.
• The method aids in refining emergent theories.
• Matrix analysis supports meeting trustworthiness criteria in research.

Conclusions:

• Matrix analysis is an effective tool for rigorous qualitative data analysis.
• It enhances the systematic verification and trustworthiness of research findings.
• This method is applicable to theory development and refinement in health research.