smr-derivation-and-properties
Use when stating assumptions, identification, and analytical properties (bias, consistency, efficiency, asymptotics, validity conditions) of a method in a Sociological Methods & Research (SMR) paper. Audits the theory and proof economy; does not design the Monte Carlo or the real-data illustration.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill smr-derivation-and-properties --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.
# SMR Derivation and Properties Use this for theory integrity. SMR is a methods journal: a property that is asserted but neither derived nor argued is the most common reviewer wound. You do not need Econometrica-level generality, but every claim about what the method *does* must be traceable from stated assumptions. ## The traceable chain A reader should be able to follow, in order: 1. **Target / estimand** — the population quantity or hypothesis the method addresses. 2. **Assumptions** — each one labeled by the role it plays (existence, identification, consistency, asymptotic normality, finite-sample approximation, computation). 3. **Estimator / statistic** — the exact object computed from data. 4. **Properties** — bias (finite-sample and asymptotic), consistency conditions, efficiency relative to the incumbent, the variance estimator, and the regime where it holds. 5. **Failure boundary** — where the assumptions fail and what happens to the property there. If any link is missing, that link is what the report will quote back. ## Assumption ledger Build this before rewriting the theory section: ```text Assumption | Role | Where used | Empirical/sim check | If weakened ``` Use it to
- The traceable chain
- Assumption ledger
- Property claims at SMR (what reviewers expect)
- Proof economy for a methods-journal audience
- Pair every property with a finite-sample check
- Checklist
- Anti-patterns
- Output format
What does the smr-derivation-and-properties skill do?
Use when stating assumptions, identification, and analytical properties (bias, consistency, efficiency, asymptotics, validity conditions) of a method in a Sociological Methods & Research (SMR) paper. Audits the theory and proof economy; does not design the Monte Carlo or the real-data illustration.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill smr-derivation-and-properties --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.