The GenAI-SRL scale shows satisfactory reliability, convergent validity, and discriminant validity across its six dimensions¶

Claim · All claims
Evidence · 1 study · design r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2029: tool and model accuracy changes quickly

Subclaims¶

q2 i? Cronbach's alpha ranged from 0.761 to 0.943, composite reliability exceeded 0.70, AVE exceeded 0.50, and all HTMT ratios fell below 0.85. → Xiaoqi Wang 2026

Evidence¶

Xiaoqi Wang 2026¶

Xiaoqi Wang, Lawrence Jun Zhang, Yanan Zhang. (2026). Generative artificial intelligence-supported self-regulated learning (GenAI-SRL) in L2 writing: scale development, validation, and short-form construction. Metacognition and Learning. https://doi.org/10.1007/s11409-026-09481-1

q2 · i? · design · r2

Reliability and validity analysis of the 34-item scale on Sample two (N = 342). The article reports α from 0.761 to 0.943, CR 0.759–0.943, AVE 0.513–0.675 supporting convergent validity, and "all HTMT ratios fell below 0.85" supporting discriminant validity.

"Cronbach’s α values ranged from 0.761 (social-behavioral) to 0.943 (metacognitive). Composite reliability (CR) values ranged from 0.759 to 0.943, all exceeding the recommended threshold of 0.70."

Discussion¶

Related Claims¶

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