hrm-data-analysis
Use when estimation and analysis are the bottleneck for a Human Resource Management (Wiley "HRM") manuscript — fitting HLM/SEM, testing mediation and cross-level moderation, defending aggregation, and qualitative coding rigor. Runs and validates the analysis; it does not design the study (hrm-methods).
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hrm-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 (hrm-data-analysis) ## When to trigger - You have nested data (employees in units/firms) and need the right multilevel model - A mediation/moderation hypothesis needs a defensible test (not just a significant indirect effect) - A measurement model (CFA) must establish discriminant validity before structural tests - A reviewer challenges the aggregation, the estimator, or asks for robustness - Qualitative data need a transparent, auditable coding and trustworthiness account ## Match the estimator to the data structure | Data / claim | Estimator | What referees will check | |--------------|-----------|--------------------------| | Individuals nested in units; cross-level effects | **HLM / mixed models** (random intercepts/slopes) | Variance decomposition; ICC justifying multilevel; correct level for each predictor | | Latent constructs + structural paths | **SEM** (with measurement model first) | CFA fit (CFI/TLI ≥ ~.95, RMSEA ≤ ~.06, SRMR ≤ ~.08); discriminant validity (AVE > shared variance) | | Mediation (the HR black box) | Bootstrap **indirect effect** CIs; multilevel mediation if cross-level | Theorized mechanism, not inference from significance alone; 1-1-1 vs.
- When to trigger
- Match the estimator to the data structure
- Multilevel and SEM discipline (HRM's bread and butter)
- Robustness and transparency HRM expects
- Execution bridge (StatsPAI / Stata MCP)
- Checklist
- Anti-patterns
- Output format
What does the hrm-data-analysis skill do?
Use when estimation and analysis are the bottleneck for a Human Resource Management (Wiley "HRM") manuscript — fitting HLM/SEM, testing mediation and cross-level moderation, defending aggregation, and qualitative coding rigor. Runs and validates the analysis; it does not design the study (hrm-methods).
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hrm-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.