# Education Psychometric Scale Development

> Use for education scale development, questionnaire validation, test development, rubric validation, educational measurement, item analysis, EFA/CFA, reliability, validity evidence, IRT, measurement invariance, and score interpretation.

- Skill: `ilog3/education-psychometric-scale-development` (Agent Skill)
- Install (CLI): `npx skillmds@latest add ilog3/education-psychometric-scale-development`
- Raw SKILL.md: https://api.skillmd.com/api/skills/ilog3/education-psychometric-scale-development/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: ilog3 (https://skillmd.com/u/ilog3)
- Updated: 2026-09-22
- Page: https://skillmd.com/skills/ilog3/education-psychometric-scale-development

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# Education Psychometric Scale Development

## Goal

Design and validate scales, tests, questionnaires, rubrics, or educational measurement instruments.

## Inputs

- Construct definition
- Target population
- Item pool or dimensions
- Response format
- Pilot/validation sample plan
- Existing theory/scales

## Workflow

1. Define construct and dimensions.
2. Generate item pool and expert review plan.
3. Plan pilot testing and item analysis.
4. Plan reliability: Cronbach alpha, omega, test-retest, inter-rater if relevant.
5. Plan validity: content, structural, convergent, discriminant, criterion.
6. Choose EFA/CFA/IRT/invariance analyses.
7. Draft measurement paper method/results templates.

## Tool Calls

R packages:

```r
install.packages(c("psych", "lavaan", "semTools", "mirt", "ltm", "TAM", "GPArotation"))
```

Interactive:

```text
ShinyItemAnalysis: https://shinyitemanalysis.org/
jamovi: https://www.jamovi.org/
JASP: https://jasp-stats.org/
Mplus: https://www.statmodel.com/
AMOS: https://www.ibm.com/products/structural-equation-modeling-sem
```

## Output Format

| Stage | Task | Output |
|---|---|---|

Include:

- Construct map
- Item generation table
- Expert validity form
- Pilot analysis plan
- EFA/CFA/IRT plan
- Reporting template

## Quality Rules

- Do not claim validity as a property of a scale in general; state validity evidence for a use/context.
- Separate item development sample and validation sample when feasible.
- Match sample size to model complexity.