etp-data-analysis
Use when executing or defending the analysis for an Entrepreneurship Theory and Practice (ETP) manuscript — estimation, event-history, SEM, endogeneity, and qualitative coding rigor, with the new-venture inference problems front of mind.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill etp-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 (etp-data-analysis) ## When to trigger - The estimator is chosen but endogeneity, selection, or survivorship is not yet addressed in the numbers - You used TWFE/OLS on staggered or time-varying venture data without checking for bias - A time-to-event outcome (founding, exit, failure, IPO) is modeled with a linear regression - A reviewer asks for robustness, an alternative specification, or an IV/control-function - Qualitative coding needs an analysis plan a methods reviewer will accept ## The ETP analysis bar ETP wants analysis that the **theory can stand on** and that survives the new-venture inference traps. Because the journal is method-plural, "analysis" differs by branch — but every branch must (a) match the estimator to the outcome and the entrepreneurial data structure, (b) confront endogeneity/selection head-on, and (c) report uncertainty honestly. ETP house style follows **APA**: report effect sizes and confidence intervals, not a forest of significance asterisks standing in for substance. ## Branch paths ### Quantitative — outcome-appropriate estimation - **Time-to-event** (founding, exit, failure, IPO): use survival / event-history (Cox, discrete-time haz
- When to trigger
- The ETP analysis bar
- Branch paths
- Quantitative — outcome-appropriate estimation
- Endogeneity and selection (the ETP reflex)
- SEM / measurement models
- Qualitative analysis
- Make the magnitude mean something for practice
- Execution bridge (StatsPAI / Stata MCP)
- Checklist
- Anti-patterns
- Worked vignette (illustrative)
- Output format
What does the etp-data-analysis skill do?
Use when executing or defending the analysis for an Entrepreneurship Theory and Practice (ETP) manuscript — estimation, event-history, SEM, endogeneity, and qualitative coding rigor, with the new-venture inference problems front of mind.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill etp-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.