Yapay Zekâya Bağımlılık Ölçeğinin Türkçe’ye Uyarlanması: Geçerlik ve Güvenirlik Çalışması

Year 2024, , 306 - 315, 30.09.2024

Buğra Çağatay Savaş

https://doi.org/10.56639/jsar.1509301

Abstract

Bu çalışmada, Morales-García ve ark. (2024) tarafından geliştirilmiş olan Yapay Zekâya Bağımlılık Ölçeğini (Scale for Dependence on Artificial Intelligence - DAI) Türkçe diline uyarlayarak güvenirlik ve geçerliliğinin incelenmesi amaçlanmıştır. Ölçek üniversite öğrencilerinin Yapay zekâya bağımlılık düzeylerini ölçmeyi amaçlamaktadır. Çalışma dört aşamada gerçekleştirilmiştir. Ölçeğin Türkçe’ye çevrilmesi, açımlayıcı ve doğrulayıcı faktör analizi, madde geçerliği, güvenirlik. Çalışma kapsamında 584 katılımcının oluşturduğu üniversite öğrencilerinden veri toplanmıştır. Ölçeğin geçerliliğini test etmek amacıyla Açımlayıcı Faktör Analizi ve Doğrulayıcı Faktör Analizi yapılmıştır. Açımlayıcı Faktör Analizinde ölçeğin tek boyutlu bir yapıda olduğu ve varyansın % 58,955’inin açıklandığı bulunmuştur. Güvenirlik için Cronbach Alfa iç tutarlılık katsayısı (.82) ve test- tekrar test değerleri (0,79) hesaplanmıştır. Tek boyut ve 5 maddeden oluşan Yapay Zekâya Bağımlılık Ölçeği için yapılan doğrulayıcı faktör analizinde; x2/df=2.609 [χ2=13.045 (Sd=, p<.05)], RMESA=.077, SRMR=.03, CFI=.98, GFI=.98, AGFI=.94, NFI=.97 ve TLI=.96 değerlerine ulaşılmıştır. Elde edilen uyum indeksleri değeri sonucunda modelin iyi bir uyuma sahip olduğu ortaya konulmuştur. Yapılan madde analizinde maddelerin ayırt edici özelliğe sahip olduğu görülmüştür. Buna göre, ölçeğin tamamı için elde edilen değerlerin ölçeğin güvenirliğine yönelik yeterli kanıtlar sunduğu söylenebilir. Türkçe diline uyarlanan Yapay Zekâya Bağımlılık Ölçeğinin, üniversite öğrencilerinin yapay zekâya bağımlılık düzeylerini ölçmek için geçerli ve güvenilir bir ölçme aracı olduğu sonucuna ulaşılmıştır.

Keywords

Yapay Zekâ, Bağımlılık, Ölçek, Geçerlik, Güvenirlik

Adaptation of the Dependence to Artificial Intelligence Scale into Turkish: Validity and Reliability Study

Abstract

In this study, Morales-García et al. It was aimed to examine the reliability and validity of the Scale for Dependence on Artificial Intelligence (DAI) developed by (2024) by adapting it to the Turkish language. The scale aims to measure the addiction levels of university students to artificial intelligence. The study was carried out in four stages. Translation of the scale into Turkish, exploratory and confirmatory factor analysis, item validity, reliability. Within the scope of the study, data was collected from 584 participants, university students. Exploratory Factor Analysis and Confirmatory Factor Analysis were conducted to test the validity of the scale. In the Exploratory Factor Analysis, it was found that the scale had a unidimensional structure and 58.955% of the variance was explained. For reliability, Cronbach Alpha internal consistency coefficient (.82) and test-retest values (0.79) were calculated. In the confirmatory factor analysis conducted for the Artificial Intelligence Addiction Scale, which consists of a single dimension and 5 items; x2/df=2.609 [χ2=13.045 (Sd=, p<.05)], RMESA=.077, SRMR= .03, CFI=.98, GFI=.98, AGFI=.94, NFI=.97 and TLI=.96. has been reached. As a result of the fit index values obtained, it was revealed that the model had a good fit. In the item analysis, it was seen that the items had distinctive features. Accordingly, it can be said that the values obtained for the entire scale provide sufficient evidence for the reliability of the scale. It has been concluded that the Artificial Intelligence Dependency Scale, adapted to the Turkish language, is a valid and reliable measurement tool to measure the addiction levels of university students to artificial intelligence.

Keywords

Artificial Intelligence, Dependence, Scale, Validity, Reliability

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