Three academic self-efficacy profiles (low, moderate, high) are identified among university students with motor disabilities using Latent Profile Analysis¶
Claim · All claims
Evidence · 1 study · associationalr1·q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2031: baselines and conditions change
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? LPA on Attention, Communication, and Excellence dimensions yielded a stable three-profile solution with high classification accuracy (entropy = .89). → Suriá-Martínez R 2026
Evidence¶
Suriá-Martínez R 2026¶
Suriá-Martínez R, García-Castillo F, López-Sánchez C and García del Castillo JA (2026). Between perceived competence and artificial intelligence: academic self-efficacy profiles in university students with motor disabilities. Front. Educ. 11:1956192. https://doi.org/10.3389/feduc.2026.1956192
q2 · i? · associational · r1
Latent Profile Analysis on standardized scores of 102 students with motor disabilities, comparing one- through four-profile models with AIC, BIC, SSA-BIC, entropy, LMR-LRT and BLRT. The quote fragment "entropy value of.89" supports the three-profile retention; the four-profile improvement was not significant.
"The three-profile solution demonstrated adequate classification accuracy, with an entropy value of.89, indicating a high degree of certainty in participant assignment to the corresponding profiles."
Discussion¶
Related Claims¶
- Profile sizes: 29.4% low, 41.2% moderate, and 29.4% high academic self-efficacy among students with motor disabilities — related
- Latent profile analysis identifies three career adapt-abilities subgroups (low, moderate, high) among English majors — related
- Latent learner profiles did not moderate the effectiveness of the adaptive ITS — related
- Latent profile analysis of 2015 PISA data identifies four collaborative problem-solver profiles among Chinese 15-year-old students — related
- In SEM, all three self-efficacy dimensions are positively associated with AI use, with Excellence strongest (β = .47), followed by Communication (β = .31) and Attention (β = .22); the model explains 43% of variance — related
- Self-efficacy profiles differ in AI use for informational support (η² = .28) and emotional support (η² = .18) — related
- Higher academic self-efficacy profiles report greater overall academic AI use, with a large effect (η² = .36) — related
- Hong Kong fourth graders' OMR self-efficacy and emotions form three distinct motivational-emotional profiles: positive, moderate, and ambivalent — related
- Four distinct action-control belief profiles (agentic, moderate, avoidant, and mixed) emerge among Finnish ninth graders — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
three-academic-self-efficacy-profiles-motor-disabilities |
title |
Three academic self-efficacy profiles (low, moderate, high) are identified among university students with motor disabilities using Latent Profile Analysis |
description |
Three academic self-efficacy profiles (low, moderate, high) are identified among university students with motor disabilities using Latent Profile Analysis |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
recheck_by |
2031 |
generated |
by process:wiki-ingest on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — suriá-martínez-r-2026 |
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