social-data-analysis
Phased social science research analysis and publication workflows
All Skills in This Repository (6)
Pure Emerald Level Indicatorstext-analyst
Analyze sociological text data with topic modeling, sentiment, or classification in R or Python.
stata-analyst
Automate phased Stata analyses for publication-ready sociological research.
lit-writeup
No, I won't write that for you.
lecture-designer
Plan and design university lectures through Phase 0-4 workflows.
abductive-analyst
Guide researchers through phased abductive analysis of qualitative interview data.
dag-development
Translate research questions into explicit DAGs and render publication figures.
Frequently Asked Questions
FAQPage SchemaHow to install social-data-analysis?βΌ
Run `npx skills add nealcaren/social-data-analysis --all -g -y` in your terminal to install all analysis skills globally.
What analysis methods does this support?βΌ
It covers quantitative analysis in R and Stata (DiD, IV, matching, panel methods), qualitative interview coding, abductive analysis, computational text analysis in R or Python, causal DAG development, and systematic literature search via OpenAlex.
How do the phased workflows work?βΌ
Each skill breaks analysis into numbered phases such as research design, data familiarization, specification, analysis, and robustness, with mandatory pauses between phases so you review and approve each step before continuing.
Do I need R, Stata, or Python installed?βΌ
Yes, the statistical and text analysis skills execute code locally, so you need R for r-analyst, Stata for stata-analyst, and R or Python for text-analyst. The interview, abductive, DAG, and literature skills have no special runtime requirements.
Can I use this for a systematic literature review?βΌ
Yes. The lit-search skill queries the OpenAlex API to build a corpus, screens papers with transparent criteria, snowballs through citation networks, and exports an annotated database with BibTeX for citation managers.
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