Confirmatory factor analysis with 448 secondary students showed the 32-item SAICS measurement model has good fit and high validity and reliability¶

Claim · All claims
Evidence · 1 study · design r3 · q2
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? In a CFA with 448 students from six Hong Kong secondary schools, fit indices met conventional standards (χ2/df = 2.39, RMSEA = 0.056, SRMR = 0.03, PNFI = 0.81, CFI = 0.95). → Thomas K. F. Chiu 2025

Evidence¶

Thomas K. F. Chiu 2025¶

Thomas K. F. Chiu, Murat Çoban, Ismaila Temitayo Sanusi, Musa Adekunle Ayanwale. (2025). Validating student AI competency self-efficacy (SAICS) scale and its framework. Education Tech Research Dev. https://doi.org/10.1007/s11423-025-10512-y

q2 · i? · design · r3

Confirmatory factor analysis of the 32-item SAICS scale with 448 students aged 12–17 from six Hong Kong secondary schools, assessed on a 5-point Likert scale. The article reports "a good model fit" with the printed indices and concludes the measurement model "has high validity and reliability scores (RQ2)."

"the fitness indices of the measured items revealed a good model fit regarding the measurement model's goodness-of-fit: x2/df = 2.39 (< 5.0); RMSEA = 0.056 (< 0.08); SRMR = 0.03 (< 0.05); PNFI = 0.81 (> 0.50); CFI = 0.95 (> 0.90)"

Discussion¶

Related Claims¶

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