SFAILQ shows scalar measurement invariance across adolescents, young adults, and middle-aged adults¶

Claim · All claims
Evidence · 1 study · design r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Multi-group CFA supported configural, metric, and scalar invariance across the three age groups (12–17, 18–40, 41–60), with scalar ΔCFI = 0.008 and ΔRMSEA = 0.007 within thresholds. → Liu Qingqi 2026

Evidence¶

Liu Qingqi 2026¶

Liu Qingqi, Miao Wenjiao, Li Jingjing, Lei Yuju. (2026). The Six-Facet Artificial Intelligence Literacy Questionnaire (SFAILQ): Assessing AI Literacy in Adolescents, Young Adults, and Midlife Adults. Behavioral Sciences, 16(7), 1110. https://doi.org/10.3390/bs16071110

q2 · i? · design · r2

Multi-group confirmatory factor analyses across the three age groups tested progressively constrained models (configural, metric, scalar). The metric model showed ΔCFI = 0.005 and ΔRMSEA = 0.005; the scalar model values are quoted here, supporting equivalent measurement of the construct across ages.

"The scalar model yielded ΔCFI = 0.008 and ΔRMSEA = 0.007, also within the acceptable range."

Discussion¶

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