The GenAI-SRL scale achieves measurement invariance across gender groups at metric and scalar levels¶
Claim · All claims
Evidence · 1 study · associationalr2·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¶
Reading the evidence codes
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q2 i? Multi-group CFA showed negligible fit decrements when constraining factor loadings and item intercepts across gender, supporting metric and scalar invariance. → 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? · associational · r2
Measurement invariance testing via configural, metric, and scalar multi-group CFA on Sample two, grouped by gender. The article reports the constraint sequence produced ΔCFI ≤ 0.003, ΔTLI ≤ 0.001, ΔRMSEA = 0.000, indicating the scale "reached measurement invariance across gender groups."
"Successive constraints on factor loadings and item intercepts did not result in considerable changes in fit indices (ΔCFI ≤ 0.003, ΔTLI ≤ 0.001, ΔRMSEA = 0.000), supporting metric and scalar invariance."
Discussion¶
Related Claims¶
- Scalar measurement invariance of the GenAI-RTS holds across gender, first-generation status, and STEM/non-STEM majors — related
- SFAILQ shows scalar measurement invariance across adolescents, young adults, and middle-aged adults — related
- Longitudinal partial strong measurement invariance of the four-item self-efficacy survey justifies fitting growth models to its scores — related
- Measurement invariance across gender is supported, but full structural equivalence is rejected, with differences localized to transformational-leadership paths — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
genai-srl-measurement-invariance-gender |
title |
The GenAI-SRL scale achieves measurement invariance across gender groups at metric and scalar levels |
description |
The GenAI-SRL scale achieves measurement invariance across gender groups at metric and scalar levels |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
recheck_by |
2029 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — xiaoqi-wang-2026 |
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