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vera-data-cfa-generating

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Actualizado16 de mayo de 2026 a las 23:54

Full CFA skill for measurement-model evaluation. Extends the initial CFA fit with reliability, convergent/discriminant validity, alternative-model comparison, modification-index review, subgroup invariance testing, and manuscript-ready methods/results. Trigger after vera-data-cfa-reviewing completes and its PART 0–2 artifacts are present (see ../../CROSS-SKILL-INTERFACE.md). If invoked directly without those artifacts, halts and prompts the user to run testing first or supply equivalent PART 0–2 code.

Instalación

Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.

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Fuente

VeraSuperHub

VeraSuperHub/stat-research-pipeline

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Ocupaciones relacionadasSOC

Basado en la clasificación ocupacional SOC

Científicos de datosOcupaciones informáticas y matemáticas·SOC 15-2051

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SKILL.md

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name	vera-data-cfa-generating
description	Full CFA skill for measurement-model evaluation. Extends the initial CFA fit with reliability, convergent/discriminant validity, alternative-model comparison, modification-index review, subgroup invariance testing, and manuscript-ready methods/results. Trigger after vera-data-cfa-reviewing completes and its PART 0–2 artifacts are present (see ../../CROSS-SKILL-INTERFACE.md). If invoked directly without those artifacts, halts and prompts the user to run testing first or supply equivalent PART 0–2 code.
allowed-tools	Read, Bash, Write, Edit, Grep, Glob

CFA Analyzing — Full Measurement Model & Manuscript

Open-source skill.

Read reference/specs/output-variation-protocol.md before every generation.

Workflow

Step	Responsibility	Executor	Document	Input	Output
Additional tests	Run Additional Tests	Main Agent	`workflow/step04-run-additional-tests.md`	Prior step output	Reliability + validity code/prose
Subgroup	Analyze Subgroups	Main Agent	`workflow/step05-analyze-subgroups.md`	Prior step output	Measurement invariance code/prose
Modeling	Fit Models	Main Agent	`workflow/step06-fit-models.md`	Prior step output	Alternative CFA models
Comparison	Compare Models	Main Agent	`workflow/step07-compare-models.md`	Prior step output	Cross-model synthesis
Manuscript	Generate Manuscript	Main Agent	`workflow/step08-generate-manuscript.md`	Prior step output	methods.md + results.md

Additional Inputs

Collect if missing:

target discipline / journal style
whether theory allows correlated residuals or cross-loadings
planned grouping variable for invariance
whether ordinal indicators should force a categorical estimator

Output Structure

output/
├── methods.md
├── results.md
├── tables/
├── figures/
├── references.bib
├── code.R
└── code.py

Key References

File	Purpose
`reference/specs/output-variation-protocol.md`	Output quality variation
`reference/specs/code-style-variation.md`	Code style diversity
`reference/patterns/sentence-bank.md`	SEM wording variants
`reference/rules/reporting-standards.md`	CFA reporting rules

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Runs the CFA pipeline: collect indicator structure, check basic identification and estimator requirements, fit a primary CFA model, and report fit indices plus standardized loadings with a recommendation block for full SEM analysis. Trigger when the user asks for CFA, confirmatory factor analysis, measurement model testing, latent factor validation, factor loading assessment, construct validity, scale validation, measurement invariance check, or psychometric evaluation. Does not cover full structural path modeling (use vera-data-path-reviewing) or longitudinal change modeling (use vera-data-growth-reviewing).

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Server-side extension that completes the full analysis pipeline for continuous outcome variables after vera-data-continuous-reviewing has run. Adds remaining hypothesis tests (ANOVA, post-hoc, nonparametric), subgroup analysis with interaction tests and forest plots, full modeling (OLS with diagnostics, quantile regression, tree-based exploratory), and model comparison. Generates manuscript-ready methods.md and results.md with formatted tables, publication-quality figures, and references.bib. Applies output variation and code style variation for natural, non-repetitive output. Triggered after vera-data-continuous-reviewing completes and its PART 0–2 artifacts are present (see ../../CROSS-SKILL-INTERFACE.md). If invoked directly without those artifacts, halts and prompts the user to run testing first or supply equivalent PART 0–2 code.

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name	vera-data-cfa-generating
description	Full CFA skill for measurement-model evaluation. Extends the initial CFA fit with reliability, convergent/discriminant validity, alternative-model comparison, modification-index review, subgroup invariance testing, and manuscript-ready methods/results. Trigger after vera-data-cfa-reviewing completes and its PART 0–2 artifacts are present (see ../../CROSS-SKILL-INTERFACE.md). If invoked directly without those artifacts, halts and prompts the user to run testing first or supply equivalent PART 0–2 code.
allowed-tools	Read, Bash, Write, Edit, Grep, Glob

CFA Analyzing — Full Measurement Model & Manuscript

Open-source skill.

Read reference/specs/output-variation-protocol.md before every generation.

Workflow

Step	Responsibility	Executor	Document	Input	Output
Additional tests	Run Additional Tests	Main Agent	`workflow/step04-run-additional-tests.md`	Prior step output	Reliability + validity code/prose
Subgroup	Analyze Subgroups	Main Agent	`workflow/step05-analyze-subgroups.md`	Prior step output	Measurement invariance code/prose
Modeling	Fit Models	Main Agent	`workflow/step06-fit-models.md`	Prior step output	Alternative CFA models
Comparison	Compare Models	Main Agent	`workflow/step07-compare-models.md`	Prior step output	Cross-model synthesis
Manuscript	Generate Manuscript	Main Agent	`workflow/step08-generate-manuscript.md`	Prior step output	methods.md + results.md

Additional Inputs

Collect if missing:

target discipline / journal style
whether theory allows correlated residuals or cross-loadings
planned grouping variable for invariance
whether ordinal indicators should force a categorical estimator

Output Structure

output/
├── methods.md
├── results.md
├── tables/
├── figures/
├── references.bib
├── code.R
└── code.py

Key References

File	Purpose
`reference/specs/output-variation-protocol.md`	Output quality variation
`reference/specs/code-style-variation.md`	Code style diversity
`reference/patterns/sentence-bank.md`	SEM wording variants
`reference/rules/reporting-standards.md`	CFA reporting rules