Main structural paths remain substantively unchanged after controlling for gender, major, and AI tool use frequency¶
Claim · All claims
Evidence · 1 study · associationalr2·q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? Signs and significance levels of the six main structural paths were unchanged when gender, major, and AI tool use frequency were added as controls, and no significant direct effects from the controls were found. → Jiang H 2026
Evidence¶
Jiang H 2026¶
Jiang H, Chen B and Chen Q (2026). Multidimensional perceived school support and AI learning anxiety among university students: the mediating roles of control-value appraisals. Front. Psychol. 17:1951992. https://doi.org/10.3389/fpsyg.2026.1951992
q2 · i? · associational · r2
Robustness SEM with control variables in the same 547-student sample; the model with controls showed good fit (CFI = 0.977, RMSEA = 0.027). The article reports "the signs and significance levels of the main structural paths remained substantively unchanged after controlling for gender, major, and AI tool use frequency."
"the signs and significance levels of the main structural paths remained substantively unchanged after controlling for gender, major, and AI tool use frequency."
Discussion¶
Related Claims¶
- Focal paths are robust to background controls, which did not directly predict AI integration intention — possibly the same claim (merge candidate)
- Structural paths did not differ significantly across AI usage-frequency groups, though exploratory coefficients varied numerically — related
- PLS-SEM and CB-SEM estimators converge on the direction and significance of all hypothesised relationships, supporting robustness of the findings — related
- Exploratory multi-group analyses suggest competence-related paths differ by educational level and gender, with heterogeneity concentrated downstream of intention — related
- Demographic differences in AI anxiety are small, with only grade showing a significant but modest effect — related
- AI dependency differs by AI usage frequency and academic year but not gender — related
- Structural paths are stable when continued-use intention and current use are modeled as separate outcomes, and AI anxiety is not directly related to continued use — related
- The six-path specification was structurally incomplete: exploratory direct paths from PNT to ACS, SRL, and CT improved fit beyond the hypothesised model — related
- CVT structural relations are largely stable across gender and prior-education groupings, supporting relative universalism under variable-centered tests — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
paths-robust-to-demographic-controls |
title |
Main structural paths remain substantively unchanged after controlling for gender, major, and AI tool use frequency |
description |
Main structural paths remain substantively unchanged after controlling for gender, major, and AI tool use frequency |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — jiang-h-2026 |
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