- name
- visual-modeling
- description
- Use when creating visual representations of grounded theory — concept maps, theoretical diagrams, process models, and conditional matrices.
# Visual Modeling for Grounded Theory
Visual models externalize relationships among categories so you can **spot gaps, contradictions, and over-clutter**. They are thinking tools first; publication figures second.
## Types of visual models
- **Concept maps:** nodes (concepts) and labeled links (e.g., “leads to,” “is a type of”).
- **Process diagrams:** stages, phases, turning points—useful for temporal theories.
- **Conditional matrices:** rows/columns represent conditions and outcomes; cells hold exemplar incidents.
- **Network diagrams:** emphasize multiple interacting factors; good for complex ecologies of action.
## When to create them
After you have **repeatable categories** and tentative relationships—mid selective/theoretical coding. Early visuals risk crystallizing premature closure; late visuals may only decorate finished text without aiding thought.
## Constructing from sorted memos
1. List major categories on sticky notes or index cards.
2. Move them until spatial proximity reflects **hypothesized relations**.
3. Draw links; label each link with a **verb phrase** (“triggers,” “buffers,” “masks”).
4. For each link, attach **2+ incident IDs** as evidence anchors.
## Conventions for representing relationships
- Use consistent arrow direction (cause → effect; condition → strategy).
- Distinguish **strong** vs **tentative** links (dashed vs solid) and keep a legend.
- Avoid decorating with colors that have no coded meaning.
## Iterating on visual models
Each iteration should respond to **disconfirming incidents** or **new theoretical sampling**. Version files (`model_v3.png`) and note what changed in the audit trail.
## Using visuals in publications
Provide a clean figure with minimal jargon; define terms in the caption; ensure the figure matches claims in text. Some journals want black-and-white friendly palettes.
## Conditional matrix tips
Start small (3×3). Expand only when cells remain meaningful. If a cell is empty, ask whether the absence is **empirical** or a **modeling error**.
## Software options
Whiteboards, Miro, Obsidian canvas, PowerPoint, OmniGraffle, Graphviz, CAQDAS maps. Pick what keeps you **fast**; avoid tool obsession.
## Grounded theory alignment
Models express **substantive theory**, not literature diagrams. If your figure recreates a framework from a prior study, scrutinize for **forcing**.
## Checklist
- [ ] Model type matches the phenomenon (process vs network).
- [ ] Links labeled; legend clarifies line styles.
- [ ] Evidence references attached for major relationships.
- [ ] Iterations versioned; changes explained.
- [ ] Publication figure readable at print size.
## References (starting points)
- Strauss, A., & Corbin, J. *Basics of Qualitative Research* — conditional matrix tradition (read critically with Glaserian integration goals).
- Konecki, K. *Visualizing Grounded Theory*.
- Northcutt, N., & McCoy, D. *Interactive Qualitative Analysis* — diagramming practices across approaches.
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