performing-selective-coding

What problem does it solve?

It helps researchers complete grounded theory’s selective coding stage by integrating core categories into a coherent theoretical framework, including storyline construction and theoretical saturation checking.

Core Features & Use Cases

• Core category selection support: Identifies the most plausible core category using explanatory power, connectivity, and data support, with validation against configurable criteria.
• Storyline construction: Builds a narrative storyline by deriving a timeline, selecting key events, identifying actors, and assembling a causal chain aligned with the core category.
• Theory framework integration: Converts category/relationship structures into propositions, a conceptual framework, mechanisms, and theoretical boundaries.
• Theoretical saturation inspection: Evaluates saturation across new concept rate, category completeness, relationship stability, and theory completeness, producing a saturation report.

Quick Start

Use the performing-selective-coding skill to run the complete selective-coding workflow by providing categories.json, relationships.json, and your new_data/data files as inputs to produce core_category.json, storyline.json, theory.json, and saturation.json.