Project
LLM-Generated Self-Efficacy Scale Validation
Validation work examining whether LLM-assisted item generation can support defensible self-efficacy measurement.
Measurement Validation
Overview
This project examines whether large language models can help generate or refine self-efficacy scale items without sacrificing measurement quality.
The aim is not novelty for its own sake. The goal is to test whether AI-assisted scale development can be rigorous enough to support real research and applied measurement work.
What I Am Looking At
- Item quality, coherence, and construct coverage.
- How generated items compare with more traditional development workflows.
- What kinds of human review and validation remain necessary before use.