The SAICS measurement model is consistent across male and female students, with changes in CFI below 0.01 in multiple-group invariance tests¶

Claim · All claims
Evidence · 1 study · associational r2 · q2
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Multiple-group CFA comparing male and female students found invariant measurement weights (change in CFI = 0.000) and invariant structural covariances (change in CFI = 0.005), both below the 0.01 invariance criterion. → 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? · associational · r2

A multiple-group CFA across gender (male: 222, female: 226) tested measurement invariance of the SAICS scale. The baseline model fit well (RMSEA = 0.057, PNFI = 0.761, CFI = 0.916), and the article states the results "demonstrate that the measuring model is consistent across male and female students."

"The model comparison analysis revealed that both models of invariant measurement weight (change in CFI = 0.000) and invariant structural covariances (change in CFI = 0.005) differed by less than 0.01 from the baseline model. These results demonstrate that the measuring model is consistent across male and female students."

Discussion¶

Related Claims¶

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