A multi-stage approach to the coding of data from open-ended questions

Area of Science:

• Qualitative Research Methods
• Data Analysis in Social Sciences

Background:

• Qualitative research analysis processes are often not explicit.
• This lack of transparency is a common criticism, especially for open-ended questions.

Purpose of the Study:

• To present an explicit approach for analyzing open-ended questions.
• To demonstrate the application of content analysis in qualitative research.
• To address challenges in maintaining data rigor and response diversity.

Main Methods:

• Outlines a content analysis approach for qualitative data.
• Focuses on making the data analysis processes and procedures explicit.
• Details strategies to overcome quantification challenges in qualitative data.

Main Results:

• Provides a clear, replicable method for analyzing open-ended qualitative data.
• Demonstrates how to maintain the richness and subtlety of responses.
• Enhances the rigor and transparency of qualitative data analysis.

Conclusions:

• Content analysis offers a robust framework for explicit qualitative data analysis.
• This approach ensures the integrity and depth of findings from open-ended questions.
• Increases the trustworthiness and utility of qualitative research findings.