Investigating the Psychometric Properties of the Short form of the Attitude Scale Towards Artificial Intelligence in Iranian Society
Subject Areas :
zahra Akhavi Samarein
1
,
Ali Ghorbaninejad
2
,
Saeed Khakdalgojebagloo
3
1 - Dept. of Counseling, Faculty of Education and Psychology, Mohaghegh Ardabili University, Ardabil, Iran
2 - PhD student in Counseling, Faculty of Educational Sciences and Psychology, University of Mohaghegh Ardabili, Ardabil, Iran
3 - PhD student in counseling
Keywords: Attitude, Psychometric Properties, Artificial Intelligence, Short Form,
Abstract :
Technological advances in recent decades, especially in the field of artificial intelligence, have caused extensive changes in people's lives. In the meantime, people's attitudes towards artificial intelligence play a decisive role in accepting or resisting this technology. The aim of the present study was to investigate the psychometric properties of the short form of the Attitude towards Artificial Intelligence Scale in an Iranian sample. The method of the present study was descriptive in terms of its purpose and applied in terms of its psychometric type. To collect data, 340 people were selected using convenience sampling. To collect data, the short form of the Attitude towards Artificial Intelligence scale by Sinderman et al, the Self-Efficacy Scale of Artificial Intelligence Users by Wang and Chuang, and the Motivations for Using Artificial Intelligence Questionnaire by Yurt and Kasarji were used. In addition to descriptive statistics, the Pearson correlation test, Cronbach's alpha coefficient, and confirmatory factor analysis were used to analyze the data. The results of confirmatory factor analysis confirmed two factors: acceptance and fear of AI. The fit indices of the confirmatory factor analysis model are CFI=0.96, NFI=0.94, NNFI=0.95, RMSEA=0.061. The results of Pearson correlation coefficient analysis to examine concurrent validity showed that the acceptance factor of the short form of the attitude towards artificial intelligence scale had a positive and significant correlation with the self-efficacy scale of the artificial intelligence user and the motivations for using artificial intelligence Questionnaire, and the fear factor of artificial intelligence had a negative and significant correlation with the aforementioned scales.. The short form of the Attitudes towards AI Questionnaire has the necessary validity and reliability to measure this construct in an Iranian sample. Therefore, the results obtained confirmed the reliability and validity of this tool in the sample in question.
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