DEVELOPMENT AND PSYCHOMETRIC PROPERTIES OF THE SOURCES OF ARTIFICIAL INTELLIGENCE SELF-EFFICACY SCALE FOR CREATIVE MEDIA PRODUCTION AMONG COMMUNICATION ARTS STUDENTS
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Abstract
This study aimed to develop and examine the psychometric properties of the Sources of Artificial Intelligence Self-Efficacy for Creative Media Production Scale among communication arts students. The sample consisted of 497 students selected through cluster sampling. The research instrument was the Sources of Artificial Intelligence Self-Efficacy for Creative Media Production Scale. Data were analyzed using reliability analysis, validity analysis, and confirmatory factor analysis (CFA). The results indicated that the scale demonstrated satisfactory psychometric properties. The first-order confirmatory factor analysis showed that the measurement model fit the empirical data well (χ² = 324.75, df = 151, CFI = .97, TLI = .96, RMSEA = .04, SRMR = .03), with standardized factor loadings ranging from .56 to .85. The second-order confirmatory factor analysis also demonstrated a good model fit (χ² = 356, df = 160, CFI = .96, TLI = .96, RMSEA = .05, SRMR = .03), with second-order standardized factor loadings ranging from .81 to .95. In addition, the scale demonstrated adequate convergent validity, with average variance extracted (AVE) values ranging from .50 to .64, and satisfactory discriminant validity, with heterotrait-monotrait ratio (HTMT) values ranging from .63 to .87. The overall scale exhibited high internal consistency reliability, with a Cronbach’s alpha coefficient of .94 and composite reliability (CR) values ranging from .80 to .84. These findings indicate that the scale possesses satisfactory validity and reliability and is suitable for assessing the sources of artificial intelligence self-efficacy for creative media production among communication arts students.
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