psychometric-assessment
Develop, validate, and adapt measurement instruments including factor analysis, reliability testing, and cross-cultural validation
Best use case
psychometric-assessment is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Develop, validate, and adapt measurement instruments including factor analysis, reliability testing, and cross-cultural validation
Teams using psychometric-assessment should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/psychometric-assessment/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How psychometric-assessment Compares
| Feature / Agent | psychometric-assessment | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Develop, validate, and adapt measurement instruments including factor analysis, reliability testing, and cross-cultural validation
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Psychometric Assessment Skill Develop, validate, and adapt measurement instruments using established psychometric methods and standards. ## Overview The Psychometric Assessment skill enables development, validation, and adaptation of measurement instruments including factor analysis, reliability testing, item response theory, and cross-cultural validation for rigorous psychological and social measurement. ## Capabilities ### Scale Development - Construct definition - Item generation - Expert review - Cognitive interviewing - Item refinement ### Factor Analysis - Exploratory factor analysis - Confirmatory factor analysis - Model fit assessment - Factor extraction - Rotation methods ### Reliability Assessment - Internal consistency - Test-retest reliability - Inter-rater reliability - Measurement error - Reliability improvement ### Validity Evidence - Content validity - Criterion validity - Construct validity - Convergent/discriminant validity - Predictive validity ### Cross-Cultural Adaptation - Translation procedures - Cultural equivalence - Measurement invariance - Differential item functioning - Adaptation validation ## Usage Guidelines ### When to Use - Developing new measures - Validating instruments - Adapting scales - Assessing measurement quality - Improving instruments ### Best Practices - Follow standards - Document thoroughly - Test in target population - Assess multiple validity types - Report comprehensively ### Integration Points - Quantitative Methods skill - Survey Design and Administration skill - Research Ethics and IRB skill - Mixed Methods Integration skill ## References - Scale Development and Validation process - Cross-Cultural Measurement Adaptation process - Measurement and Psychometrics Expert agent
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