All AITAQS items load above 0.50 on their target factor with cross-loadings below 0.30, in the hypothesized assignment (X1–X3 Feedback Quality through X10–X12 User Trust).¶
Claim · All claims
Evidence · 1 study · designr2·q3
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.
q3 i? All principal factor loads exceed 0.50 and cross-loadings remain below 0.30 across the four models. → Zhang 2026
Evidence¶
Zhang 2026¶
Zhang, Z., Katayoun, M., Tan, L., & Wei, G. (2026). Development and Validation of a Multidimensional Scale for AI Tutoring Acceptance in Higher Education. npj Science of Learning. https://doi.org/10.1038/s41539-026-00431-9
q3 · i? · design · r2
Standardized parameter evaluation across CFA, ESEM, Bifactor-CFA and Bifactor-ESEM (Table 7). All principal loads were "greater than 0.50" and cross-loadings below 0.30, supporting discriminant validity; items X1–X12 each loaded highest on their intended dimension.
"all the principal loads of the above items are greater than 0.50, which is reflected as strong item -factor consistency and ideal convergence validity 63. If the cross-loading remains below 0.30, it indicates that there are typical differences between each index and the non-target factor"
Discussion¶
Related Claims¶
- Bifactor-ESEM shows the highest fit among CFA, ESEM, bifactor-CFA and bifactor-ESEM models, supporting AITAQS as one general factor plus four specific dimensions. — related
- Principal component analysis of the AITAQS extracts four factors accounting for 65.421% of variance, with item loadings from 0.64 to 0.85 matching the four hypothesized dimensions. — a broader claim this one bears on
- AITAQS dimension reliabilities fall within 0.721–0.745 Cronbach's α, exceeding acceptability thresholds, with all CR values above 0.7 though some AVE values fall below 0.5. — related
- The AITAQS item pool shows sampling adequacy for factor analysis, with KMO = 0.758 and a significant Bartlett test (χ² = 438.75, df = 66, p < 0.001). — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
aitaqs-item-loadings-and-cross-loadings |
title |
All AITAQS items load above 0.50 on their target factor with cross-loadings below 0.30, in the hypothesized assignment (X1–X3 Feedback Quality through X10–X12 User Trust). |
description |
All AITAQS items load above 0.50 on their target factor with cross-loadings below 0.30, in the hypothesized assignment (X1–X3 Feedback Quality through X10–X12 User Trust). |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-26 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — zhang-2026 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.