EFA of the CONNECT instrument identifies seven transversal-skill components¶
Claim · All claims
Evidence · 1 study · associationalr2·q2
Currency · newest study 2024 · not yet checked against its sources · not reviewed by a person
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q2 i? Exploratory factor analysis with Varimax rotation identified seven clusters of transversal skills aligning with the CARE-KNOW-DO framework, with high reliability (Cronbach's alpha = 0.916) and sampling adequacy (KMO = 0.906). → Okada 2024
Evidence¶
Okada 2024¶
Okada, A., Sherborne, T., Panselinas, G., & Kolionis, G. (2024). AI in Education: A Cross-National Study of Open Schooling Using the CARE-KNOW-DO Framework for Sustainable Development Goals. https://doi.org/10.21203/rs.3.rs-3960164/v1
q2 · i? · associational · r2
Quantitative analysis of Likert-scale questionnaire data using SPSS 27; the article reports "a high Cronbach’s alpha of 0.916", a "KMO measure of 0.906", and seven clusters from Varimax-rotated EFA.
"A high Cronbach’s alpha of 0.916 demonstrated the instrument's reliability and internal consistency. An adequate sample size was conrmed by a KMO measure of 0.906 and Bartlett’s test chi-square statistic, validating the suitability of the factor analysis. Varimax rotation in EFA identied seven clusters aligning with the CARE-KNOW-DO framework's core and subconstructs."
Discussion¶
Related Claims¶
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Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
seven-transversal-skill-components-efa |
title |
EFA of the CONNECT instrument identifies seven transversal-skill components |
description |
EFA of the CONNECT instrument identifies seven transversal-skill components |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2024 |
generated |
by process:wiki-ingest on 2026-10-28 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — okada-2024 |
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