Using the Reproducible Open Coding Kit & Epistemic Network Analysis to model qualitative data

Area of Science:

• Social Sciences
• Education Research
• Qualitative Data Analysis

Background:

• Epistemic Network Analysis (ENA) integrates quantitative and qualitative research methods.
• ENA utilizes quantified qualitative data and metadata to generate network models.
• The Reproducible Open Coding Kit (ROCK) standardizes data curation for ENA.

Discussion:

• ENA visualizes relative code frequencies and co-occurrence patterns.
• It allows for comparisons of these patterns across different groups or individuals.
• The method supports researcher reflexivity by detailing code interactions.

Key Insights:

• ENA moves beyond simple code frequencies to analyze code interactions.
• It enables flexible post-hoc grouping of data for comparative analysis.
• Complex findings can be communicated effectively through ENA visualizations.

Outlook:

• ENA provides a powerful tool for mixed-methods research.
• Its application can reveal nuanced insights in qualitative data.
• The method supports transparent and reproducible research workflows.