checking-theory-saturation

Name: checking-theory-saturation
Availability: InStock
Author: ptreezh

Evaluate grounded theory saturation using measurable criteria for concept, category, relation, and theory completeness.

24|7|Updated Nov 15, 2025

Search Tags:#coding #categories #concepts #research-design #qualitative-analysis #grounded-theory #theoretical-saturation

Ready to run

npx skills add https://github.com/ptreezh/sscisubagent-skills --skill checking-theory-saturation

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: checking-theory-saturation
Source: https://github.com/ptreezh/sscisubagent-skills/tree/main/archive/skills/coding/checking-theory-saturation
Command: npx skills add https://github.com/ptreezh/sscisubagent-skills --skill checking-theory-saturation

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, scikit-learn, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps you determine whether your grounded theory has reached theoretical saturation, so you can judge if additional data collection is necessary or if the theory is ready for final integration.

Core Features & Use Cases

Concept saturation checks: Detects whether new important concepts continue to emerge from newly analyzed data.
Category completeness checks: Verifies whether each category has adequate definition, properties/attributes, and supporting examples/cases.
Relation stability checks: Assesses whether newly submitted relationships add genuinely new links or mostly repeat existing ones.
Theory completeness checks: Evaluates whether the core components (core category/concept, propositions, framework, boundaries) are present and sufficiently developed.

Quick Start

Ask the assistant to run a grounded-theory theoretical saturation assessment using your existing theory artifacts and the latest batch of coded/new data you want to analyze.

Frequently Asked Questions about checking-theory-saturation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I check if my grounded theory has reached theoretical saturation?▼

Theoretical saturation requires evaluating new concept rates, category completeness, relationship stability, and theory completeness. This Skill compares existing coded artifacts against new data batches to compute measurable saturation rates and decide whether to stop or continue sampling.

What criteria determine when to stop coding in qualitative research?▼

Qualitative coding can stop when new concept emergence halts, categories have adequate properties and examples, relationships stop yielding genuinely new links, and core theoretical components like propositions and boundaries are sufficiently developed. This Skill measures all four criteria quantitatively.

Can I use this saturation assessment with my existing qualitative coding workflow?▼

Yes, it applies to qualitative coding workflows where researchers compare existing codes, categories, and relations against newly analyzed data. You provide your existing theory artifacts and the latest batch of coded data for the assistant to evaluate saturation status.

Does this theoretical saturation checker require pandas or scikit-learn to run?▼

The Skill depends on pandas, numpy, and scikit-learn to compute saturation metrics. These libraries process coded data to calculate new concept rates, completeness rates, and relationship stability for the saturation assessment.

What is category completeness in grounded theory and how is it measured?▼

Category completeness verifies whether each category has adequate definition, properties or attributes, and supporting examples or cases. This Skill assesses completeness rates by checking if newly analyzed data continues to fill gaps in your existing category definitions.

When should I not use automated saturation checks for grounded theory?▼

Automated saturation checks may not suit early-stage grounded theory research where core categories are still forming. If your theory lacks defined propositions, a core category, or established boundaries, the completeness and stability metrics will not yield meaningful stop or continue signals.