ArticleFrontiers in psychology2026
Measuring attitudes toward artificial intelligence: validation of the Chinese ATTARI-12 and invariance across genders and academic disciplines.
Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Introduction: Understanding university students' attitudes toward artificial intelligence (AI) is essential for its ethical and effective integration into higher education. However, validated tools tailored to the Chinese context are limited. Methods: This study translated and validated the Chinese version of the Attitudes toward Artificial Intelligence Scale (ATTARI-12) using Brislin's translation procedure. A cross-sectional online survey was conducted among 920 undergraduate students. The dataset was split for exploratory and confirmatory factor analyses (EFA and CFA), followed by internal consistency assessment and multi-group CFA to test measurement invariance across gender and academic disciplines. Descriptive statistics and group comparisons were performed. Results: The EFA and CFA supported a stable two-factor structure reflecting positive and negative attitudes, with acceptable reliability ( Conclusion: The Chinese ATTARI-12 demonstrates sound psychometric properties and is suitable for assessing AI-related attitudes among undergraduate students.
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