An Innovative Use of the Logic Model for a Qualitative Analysis Framework

Area of Science:

• Social Sciences
• Health Services Research

Background:

• Qualitative data coding can be challenging and time-consuming for new researchers.
• Novice analysts often require structured methods for qualitative data analysis.

Purpose of the Study:

• To demonstrate the utility of a logic model as a framework for qualitative data analysis.
• To present secondary data analysis supporting the logic model approach.

Main Methods:

• Secondary data analysis from a prior study was conducted.
• A logic model was implemented to structure the qualitative analysis process.

Main Results:

• The logic model facilitated systematic organization and efficiency in qualitative analysis.
• Documenting each analysis step with the model enhanced trustworthiness.
• Easier data visualization led to richer, more focused analysis.

Conclusions:

• A logic model framework is beneficial for categorizing and organizing qualitative data, especially for process or outcome-focused studies.
• This approach enhances efficiency and trustworthiness for novice analysts in quality improvement, evidence-based practice, program evaluation, and research.