CFA partially supports the six-dimension structure of perceived AI competence¶
Claim · All claims
Evidence · 1 study · associationalr2·q2
Currency · newest study 2025 · checked against its sources 2026-10-28 (automated, 1 of 1 entry) · 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? A six-factor CFA of 45 items shows the items can partially be grouped into the six theoretical dimensions, with fit improving after removing eight poorly worded items. → Delcker 2025
Evidence¶
Delcker 2025¶
Delcker, J., Heil, J., & Ifenthaler, D. (2025). Evidence-based development of an instrument for the assessment of teachers' self-perceptions of their artificial intelligence competence. Education Tech Research Dev. https://doi.org/10.1007/s11423-024-10418-1
q2 · i? · associational · r2
A survey study of N = 480 vocational school teachers in Germany using confirmatory factor analysis. The initial six-factor model did not meet fit criteria (RMSEA = .097, CFI = .764, TLI = .748); "After the removal of items, the fitness scores of the model improved and were closer to the desired cut-off values."
"The results of the six-factor confirmatory factor analysis suggest that the items used for the different factors can partially be grouped into the six theoretical dimensions (TH, LF, IP, AT; TL, PF) of perceived AI competence."
Discussion¶
Related Claims¶
- AI competence dimensions are unequally developed among vocational school teachers — related
- Perceived AI competence is best modeled as a latent factor over four dimensions after removing PF and AT — related
- An ACO-derived 12-item short form (GenAI-SRL-12) retains the full scale's factor structure, reliability, and construct equivalence — related
- The self-report measure supports a refined 13-item, four-factor model with good fit — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
cfa-partially-supports-six-dimension-structure |
title |
CFA partially supports the six-dimension structure of perceived AI competence |
description |
CFA partially supports the six-dimension structure of perceived AI competence |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2025 |
source_checked |
2026-10-28 |
generated |
by process:wiki-ingest on 2026-10-28 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — delcker-2025 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.