# Vera Data Cfa Pipelining

> Complete skill family for confirmatory factor analysis (CFA) and measurement model evaluation. Use when the user asks for CFA, latent factor validation, measurement models, factor loadings, convergent/discriminant validity, or measurement invariance. Uses a two-step structure: testing for initial diagnostics, analyzing for full pipeline.

- Skill: `verasuperhub/vera-data-cfa-pipelining` (Agent Skill, multi-file: 23 files)
- Install (CLI): `npx skillmds@latest add verasuperhub/vera-data-cfa-pipelining`
- Raw SKILL.md: https://api.skillmd.com/api/skills/verasuperhub/vera-data-cfa-pipelining/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: DevOps & Infra
- Author: VeraSuperHub (https://skillmd.com/u/verasuperhub)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/verasuperhub/vera-data-cfa-pipelining

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# SEM CFA — Skill Family

Open-source skill.

This domain contains:

- `vera-data-cfa-reviewing` for identification checks, estimator selection, and an
  initial CFA fit with interpreted fit indices and standardized loadings
- `vera-data-cfa-generating` for reliability/validity, invariance, model
  comparison, and manuscript-ready methods/results

Primary engine: `lavaan` in R. Secondary Python support may use `semopy`, but
R is the default path whenever full SEM features are needed.