Self-efficacy predicts cluster membership, with the article concluding self-efficacy may play a foundational role in the cluster difference¶
Claim · All claims
Evidence · 1 study · associationalr1·q2·i0negligible
Currency · newest study 2026 · checked against its sources 2026-10-20 (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 i0 Binary logistic regression with GSE score predicting cluster membership was significant (χ2(234) = −3.4962, p < .0001; OR = 1.08, 95% CI [1.053, 1.117]); SeBIS and Pew showed no significant results. → Adama 2026
Evidence¶
Adama 2026¶
Adama, V., Biddle, R., Arachchilage, N., & Lottridge, D. (2026). Confident yet Concerned: Inconsistencies in Computing Students' Attitudes on Cybersecurity. https://arxiv.org/abs/2606.18541 doi:10.48550/arxiv.2606.18541
q2 · i0 · associational · r1
Binary logistic regression on the survey of 236 participants with GSE score predicting cluster membership. The article prints "OR = 1.08, 95% CI = [1.053, 1.117]", a small printed odds ratio, and reports the same test on SeBIS and Pew showed no significant results.
"We conducted a binary logistic regression with GSE score as the pre- dictor, and cluster as the outcome. We found a significant result (χ 2(234) =−3.4962,p < .0001;OR= 1.08,95%CI= [1.053,1.117])."
Discussion¶
Learner Variables¶
- Motivation — predictor: learners who differ on it differ in outcomes
- Self-Efficacy — predictor: learners who differ on it differ in outcomes
Related Claims¶
- Computing students show high objective cybersecurity knowledge, with over 75% answering five or more of seven Pew questions correctly — related
- Security intentions and objective knowledge correlate with preparedness, and self-efficacy correlates with confidence — related
- Two attitude clusters differ significantly on preparedness, confidence, and interest (p<.0001), with Cluster 1 lower on Pew and GSE but not SeBIS, and reporting more word-of-mouth learning — related
- Low- and high-proficiency EFL learners differ significantly in self-efficacy, intrinsic goal orientation, and test anxiety — related
- Students' confidence and readiness correlate mostly with self-efficacy and collaboration rather than with formal instruction — related
- Adult learners' motivational profiles differ significantly in self-efficacy, learning strategies and behavioral engagement: the good-quality motivation group scores higher on all three, the high-quantity group on strategies and engagement only — related
- AI pedagogical orientation strongly predicts self-reported AI use across research, teaching, and other professional domains — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
self-efficacy-predicts-cluster-membership |
title |
Self-efficacy predicts cluster membership, with the article concluding self-efficacy may play a foundational role in the cluster difference |
description |
Self-efficacy predicts cluster membership, with the article concluding self-efficacy may play a foundational role in the cluster difference |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
source_checked |
2026-10-20 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — adama-2026 |
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