TAILS dimensions show high internal consistency, with Cronbach's alpha values above 0.90¶

Claim · All claims
Evidence · 1 study · design r3 · q3
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i? The validated TAILS demonstrated high internal consistency, with Cronbach's alpha values exceeding 0.90. → Salim Nabhan 2026

Evidence¶

Salim Nabhan 2026¶

Salim Nabhan, Anita Habók. (2026). Language teachers' AI literacy: A psychometric study based on the ED-AI framework. Computers and Education: Artificial Intelligence 10 (2026) 100583. https://doi.org/10.1016/j.caeai.2026.100583

q3 · i? · design · r3

The article's abstract reports the psychometric outcome across the validation samples: "high internal consistency (Cronbach's α values > 0.90)" alongside acceptable fit indices. Composite reliability was also calculated per dimension; detailed values appear in the truncated reliability section.

"Results confirmed a six-factor structure with high internal consistency (Cronbach's α values > 0.90) and acceptable model fit indices"

Discussion¶

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