Razi Journal of Medical Sciences

fa بررسی اعتبار و ساختار عاملی نسخه فارسی مقیاس نگرش کلی به هوش مصنوعی (GAAIS) The Consideration of Validity and Reliability of Persian Version of the General Attitudes towards Artificial Intelligence Scale روانشناسی بالینی Clinical Psychiatry پژوهشي Research <div class="WordSection1" dir="RTL" style="text-align: justify;"><a name="_Hlk175373567">زمینه و هدف:</a> در ایران به دلیل عدم وجود پرسشنامه‌ها و ابزارهای مناسب و به روز جهت پژوهش در حوزه هوش مصنوعی، پژوهش‌های اندکی در این حوزه انجام‌شده است و در این مورد خلأ دانش وجود دارد، بنابراین تهیه نسخه فارسی پرسشنامه نگرش کلی به هوش مصنوعی ضروری به نظر می‌رسید. بنابراین پژوهش حاضر با هدف تعیین اعتبار و روایی نسخه فارسی مقیاس نگرش کلی به هوش مصنوعی بود. روش کار: جامعه آماری پژوهش شامل کلیه دانشجویانی هستند که در سال 1401-1402 در دانشگاه شهرکرد در حال تحصیل بودند. نمونه شامل 200 دانشجو شامل (5/48 درصد زن و 5/51 درصد مرد) به روش نمونه‌گیری در دسترس و با استفاده از لینک الکترونیک بود به این ترتیب که نسخه فارسی مقیاس نگرش کلی به هوش مصنوعی به لینک الکترونیک تبدیل شد و توسط گروه نمونه تکمیل گردید. جهت تجزیه تحلیل داده‌ها در سطح توصیفی شامل میانگین و درصد فراوانی پاسخ‌گویان و پایایی بازآزمایی از نرم‌افزار spss و در سطح استنباطی برای بررسی پایایی و روایی مقیاس از نرم‌افزار smart pls نسخه چهارم استفاده شد. یافته ها: یافته‌ها نشان داد که شاخصهای برازندگی در حد قابل قبول قرار داشتند. نتایج همچنین نشان داد مقیاس نگرش کلی به هوش مصنوعی از روایی افتراقی و روایی همگرا در مقیاس نگرش کلی به هوش مصنوعی مناسب است. یافتهها در بررسی پایایی به روش ترکیبی و  بازآزمایی پایایی سازه‌ها برای مقیاس نگرش کلی به هوش مصنوعی تأیید شد، و در کل آزمون از پایایی مناسبی برخوردار است. همچنین مقدار تناسب پیش‌بین برای سازه‌ها بیشتر از (35/0) است که نشان‌دهنده این است که مدل از تناسب پیش‌بین مناسبی برخوردار است. نتیجه گیری: نتیجه گیری میشود که مقیاس نگرش کلی به هوش مصنوعی بر روی نمونه ایرانی از پایایی و روایی مناسبی برخوردار است و بر روی این نمونه برازش قابل‌ قبول دارد.  </div> <div style="text-align: justify;"> Background & Aims: Today, artificial intelligence, abbreviated as AI, is one of the hottest terms in technology. The reason for this is solid; in recent years, many innovations and developments have emerged in the field of artificial intelligence, which in the past were only imagined in science fiction movies, but now they have gradually become a reality. The new abilities offered by artificial intelligence during the years 2022 and 2023 have caused a lot of astonishment and surprise, but this subject also has its own critics and supporters. Many believe that the development of space exploration, which is currently at the top of much scientific research is supposed to be impossible without relying on artificial intelligence; But on the other side, some consider artificial intelligence a serious threat to the human race. Artificial intelligence as a new technology has attracted a lot of attention and undoubtedly every new technology that is formed by human hands requires research and research so that people can better understand the positive and negative aspects of the use of this complex technology and for growth and development. So far, many researches have been conducted abroad using the general attitude towards artificial intelligence questionnaire, including the relationship between personality and general attitude towards artificial intelligence, the role of personality traits, artificial intelligence anxiety, and demographic factors in the attitude toward artificial intelligence. Validity and recovery of general attitude scale towards artificial intelligence on nursing students, the effect of artificial intelligence attitude on behavioral intentions of nursing students. This issue shows that this tool has appropriate validity and reliability for use in research. In Iran, due to the lack of appropriate and up-to-date questionnaires and tools for research in the field of artificial intelligence, few pieces of research have been conducted in this field, and there is a knowledge gap in this matter, so preparing a Persian version of the general attitude questionnaire towards artificial intelligence seemed necessary. According to the stated contents, the main question of the current research is: Is the Persian version of the general attitude scale towards artificial intelligence in Iranian society valid and reliable? Methods: The statistical population of the research includes all students who were studying at Shahrekord University in 1401-1402. The sample consisted of 200 students including (48.5% female and 51.5% male) by available sampling method and using the electronic link, so that the Persian version of the general attitude scale towards artificial intelligence was converted to the electronic link and by the group the sample is completed. SPSS software was used to analyze the data at the descriptive level, including the mean and percentage of respondents' frequency and retest reliability, and at the inferential level, smart pls software, version 4, was used to check the reliability and validity of the scale. Results: The findings showed that the fit indices were acceptable. The results also showed that the scale of a general attitude towards artificial intelligence is suitable for the scale of a general attitude towards artificial intelligence from differential validity and convergent validity. The findings were confirmed in the combined method reliability and retest reliability of the constructs for the scale of a general attitude towards artificial intelligence, and the whole test has good reliability. Also, the predictor fit value for the constructs is greater than (0.35), which indicates that the model has a suitable predictor fit. Conclusion: The findings showed that the fit indices were acceptable. The results also showed that the scale of the general attitude towards artificial intelligence is suitable for the scale of a general attitude towards artificial intelligence from differential validity and convergent validity. The findings were confirmed in the combined method reliability and retest reliability of the constructs for the scale of a general attitude towards artificial intelligence, and the whole test has good reliability. Also, the predictor fit value for the constructs is greater than (0.35), which indicates that the model has a suitable predictor fit. The study of the validity and factor structure of the Persian version of the general attitude towards artificial intelligence scale has been carried out in order to evaluate the reliability and appropriateness of this tool in Iranian society. This scale, designed to measure people's attitudes toward artificial intelligence, includes several different dimensions, each of which evaluates different aspects of these attitudes. In order to check the validity of this tool, different methods are usually used, which include content validity, construct validity, as well as convergent and divergent validity. To analyze the factor structure, statistical methods such as exploratory and confirmatory factor analysis have been used. The results of these investigations show that the Persian version of the general attitude towards artificial intelligence scale has a suitable and valid factor structure and can be used as a valid tool to measure people's attitudes toward artificial intelligence in the Iranian population. Also, Cronbach's alpha coefficient as a measure of the internal consistency of the scale indicates the high reliability of this tool. Further investigations and statistical analyses confirm that this scale has a high ability to distinguish between different attitudes towards artificial intelligence and can be effectively used in various research. Therefore, it is suggested to use the Persian version of the general attitude scale towards artificial intelligence in research related to artificial intelligence and new technologies in Iran. The results of the investigations conducted on the Persian version of the general attitude scale toward artificial intelligence indicate that this tool has a suitable and valid factor structure. These results show that the Persian version of the scale is able to effectively measure people's attitudes towards artificial intelligence in different fields. This is particularly evident in statistical analyses such as exploratory and confirmatory factor analysis. Also, Cronbach's alpha coefficient as a measure of the internal consistency of the scale is within an acceptable range, which indicates the appropriate reliability of the tool. This indicates that the different items of the questionnaire have a high correlation with each other and continuously measure a common conceptual structure. The results of this study also show that the Persian version of the general attitude scale toward artificial intelligence can be used reliably in different research and executive environments in Iran. In other words, this scale has the ability to distinguish between different attitudes towards artificial intelligence and can be used to better understand different approaches of people towards this technology. However, to increase the accuracy and comprehensiveness of these results, it is recommended that this scale be examined and tested in different populations and with more diverse conditions. This will help to generalize the results and further confirm the validity and reliability of the instrument. </div> هوش مصنوعی, نگرش, تحلیل عاملی تأییدی Artificial Intelligence, Attitude, Confirmatory Factor Analysis 254 261 http://rjms.iums.ac.ir/browse.php?a_code=A-10-8048-1&slc_lang=fa&sid=1 Hamed Mohammadi Farsani حامد محمدی فارسانی hamedmfars@gmail.com 3900319475328460085725 3900319475328460085725 Yes Master's Degree, Department of Clinical Psychology, Apadana Institute of Higher Education, Shiraz, Iran کارشناسی ارشد، گروه روانشناسی بالینی، موسسه آموزش عالی آپادانا، شیراز Maryam Mirshaei مریم میرشائی 3900319475328460085726 3900319475328460085726 No Master's Degree, Department of Clinical Psychology, Apadana Institute of Higher Education, Shiraz, Iran. کارشناسی ارشد، گروه روانشناسی بالینی، موسسه آموزش عالی آپادانا، شیراز