research-synthesis

Core Analytical Methods

Thematic Coding

A systematic approach to extracting meaning from qualitative data:

1. Immersion — Read the full dataset end-to-end without annotating. Build an intuitive sense of the landscape before imposing structure.
2. Open coding — Walk through every data point, attaching descriptive labels. Over-code rather than under-code; collapsing is easier than retroactive splitting.
3. Pattern grouping — Cluster related codes into candidate themes. Each theme should represent a meaningful pattern relevant to your research questions.
4. Validation pass — Revisit the raw data to stress-test each theme. Confirm sufficient supporting evidence exists, themes do not overlap excessively, and together they form a coherent narrative.
5. Sharpening — Give each theme a precise name and a one-to-two sentence definition capturing its essence.
6. Reporting — Write up themes as findings, each backed by concrete evidence from the data.

Bottom-Up Clustering (Affinity Approach)

A technique for letting structure emerge organically from observations:

1. Atomize — Record every discrete observation, quote, or data point as an individual unit
2. Group by similarity — Arrange units into clusters without predefined categories; let the data dictate the groupings