asq-data-analysis
Use when executing and reporting the analysis for an Administrative Science Quarterly (ASQ) manuscript — qualitative coding and data-to-theory construction, or quantitative estimation and robustness. Makes the evidence-to-theory link transparent; it does not design the study (see asq-methods).
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill asq-data-analysis --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Data Analysis & Evidence (asq-data-analysis) ## When to trigger - You have data but the path from data to theory is opaque - Qualitative: your quotes are decorative, not evidentiary; coding is undocumented - Quantitative: main results exist but robustness/alternative explanations are thin - Reviewers ask "how did you get from your data to these constructs?" ## Branch A — Qualitative analysis (the data-to-theory link) ASQ expects readers to *see how raw data became theory* — its guidelines stress that helping readers understand *how the research was performed* and ensuring the *trustworthiness* of published work are explicit aims (verify at journals.sagepub.com/author-instructions/asq). Qualitative rigor is judged on its own terms here, not held to a quantitative yardstick. Make the analytic ladder visible. - **Transparent coding.** Describe first-order codes (informant terms), second-order themes (researcher constructs), and aggregate dimensions — the Gioia-style data structure — or an equivalent (Eisenhardt cross-case, Langley process bracketing). State who coded, how disagreements were resolved, and how iteration proceeded. - **Data-to-theory table.** Provide a table linking re
- When to trigger
- Branch A — Qualitative analysis (the data-to-theory link)
- Branch B — Quantitative analysis
- Either branch — the "so what" of the evidence
- Execution bridge (StatsPAI / Stata MCP)
- Checklist
- Anti-patterns
- Output format
What does the asq-data-analysis skill do?
Use when executing and reporting the analysis for an Administrative Science Quarterly (ASQ) manuscript — qualitative coding and data-to-theory construction, or quantitative estimation and robustness. Makes the evidence-to-theory link transparent; it does not design the study (see asq-methods).
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill asq-data-analysis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.