Chapter materials
Find the examples, tools, and studies for your next assignment
Theory chapters build the reasoning; exercise chapters apply it to a dataset you build from your own field’s literature. Each hub collects the materials for its chapter’s assignment.
Chapters 1, 11, and 12 use the shared site materials rather than separate chapter pages.
Theory chapters
Each theory chapter listed here closes with a Practice section that examines published studies through one design stage. The hub filters the studies database to that stage.
Chapter 3 — Data as relational and process
The 3S framework: source, structure, standardization. 91 studies annotated for data management.
Chapter 5 — From concepts to measures
Worldviews, deductive and inductive measurement, validity evidence. 48 studies annotated for concept representation.
Chapter 7 — Computational analysis
Three capacities, four epistemic purposes, and the challenges each raises. 64 studies annotated for analysis.
Chapter 9 — Communicating research
Inspectable, reproducible, interpretable. 44 studies annotated for communication.
Project setup and exercise chapters
Start with the Chapter 2 project templates, then build a corpus in Chapter 4. You will code that corpus in Chapter 6, analyze it in Chapter 8, and communicate your findings in Chapter 10.
Chapter 2 — Project templates
The Rules / Memory / Knowledge skeleton, downloadable whole or file by file.
Chapter 4 — Gathering literature
OpenAlex retrieval, screening, and the codebook that documents both.
Chapter 6 — Automated coding
Dictionary, LLM, and classifier coding of the same corpus, plus the validity audit. Two worked notebooks.
Chapter 8 — Applying computational methods
Networks, diffusion, prediction, embeddings. One worked notebook and sample network data.
Chapter 10 — Communicating your pipeline
Reproducible reports, dashboards, and the uncertainty layer. Starter scaffolding for each form.
How the pairs work
Read each theory chapter with its paired exercise chapter:
| Design stage | Concept | Practice |
|---|---|---|
| Data management | Ch. 3 | Ch. 4 |
| Concept representation | Ch. 5 | Ch. 6 |
| Computational analysis | Ch. 7 | Ch. 8 |
| Scientific communication | Ch. 9 | Ch. 10 |
Reading one study through all four lenses across a semester shows how a decision at one stage constrains the options at the next. The full studies database lets you switch between the available annotations for that study.