Claims

In a first-order support-dimension model, only informational support retained a significant path to AI learning self-efficacy

Claim · All claims
Evidence · 1 study · associational r2 · 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? After accounting for shared variance among support dimensions, only the informational-support-to-self-efficacy path retained a significant bootstrap interval (β = 0.288, p = 0.020). → 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

Supplementary first-order SEM in which emotional, informational, and instrumental support were entered separately in the 547-student sample. The article reports "only the IFS–ASE path retainedastatisticallysignificantBCbootstrapinterval[β = 0.288, 95% CI (0.052, 0.558),p = 0.020]"; remaining dimension-specific paths included zero.

"only the IFS–ASE path retainedastatisticallysignificantBCbootstrapinterval[β = 0.288, 95% CI (0.052, 0.558),p = 0.020]"

Discussion

Page metadata
Field Value
type claim
id informational-support-unique-dimension-path-self-efficacy
title In a first-order support-dimension model, only informational support retained a significant path to AI learning self-efficacy
description In a first-order support-dimension model, only informational support retained a significant path to AI learning self-efficacy
status review
evidence_strength weak
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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