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This study aimed to develop and validate an indigenous assessment unit for measuring AI attitude and perception, focusing on its psychometric properties. The presented results are from the first study, conducted in three phases. In Phase I, internal consistency and dimensionality of the construct were assessed using a sample of 474 students (381 girls and 95 boys) aged 18-28 years, selected through convenience sampling. Exploratory factor analysis (EFA) was employed, generating items for the AI attitude and perception scale based on a 5-point Likert scale. In Phase II, the factor structure from Phase I was confirmed through structural equation modeling, yielding a 12-factor structure with 65.87% explanatory variance. Phase III established the scale's convergent validity by correlating its items with those of a predefined scale (SPAI). The final scale comprised 34 items across 5 discriminative factors, demonstrating robust psychometric properties. This scale is a significant tool for assessing AI attitudes and perceptions, particularly among student
Osmani et al. (2024) studied this question.