Journals / International Journal of Assessment Tools in Education / 2022 / Cilt: 9 - Sayı: 2

Problematic Technology Use Scale for Young Children (PTUS-YC): Validity and Reliability Study

Pages
267–289
Publication Date
2022-10-18
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Based on the results, PTUS-YC was a valid and reliable measurement tool that can be used to determine preschool children's problematic technology use levels.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study aimed to develop a measurement tool to identify preschool children’s problematic technology use levels and contribute to Turkish literature.
📊
Key Findings & Data:The study group included in the exploratory factor analysis was composed of 357 voluntary children in the preschool period.
💡
Conclusion & Impact:Based on the results, PTUS-YC was a valid and reliable measurement tool that can be used to determine preschool children's problematic technology use levels.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Problematic technology use · Preschool children · Early childhood

Abstract

This study aimed to develop a measurement tool to identify preschool children’s problematic technology use levels and contribute to Turkish literature. The study group included in the exploratory factor analysis was composed of 357 voluntary children in the preschool period. The study group included in the confirmatory factor analysis, proximal validity analysis, item discrimination analysis, and reliability analysis was composed of a total of 402 parents. Exploratory factor analysis (EFA) was conducted to present the factor structure of PTUS-YC. Confirmatory factor analysis (CFA) was performed to test the model obtained with EFA. Item discrimination values obtained as a result of the independent sample t-test was investigated to determine the internal validity of the measurement tool. Furthermore, the correlation values between PTUS-YC items and the relevant factors and the complete measurement tool were calculated, and total item correlation was used to test whether each item served a common purpose. In addition, CR and AVE values were examined in the proximal validity analysis conducted for PTUS-YC. Reliability analysis for PTUS-YC was performed using Cronbach alpha internal consistency coefficient and McDonald's Omega coefficient methods. As a result of the exploratory factor analysis, a 4-factor structure that explained 60.392% of the total variance was obtained: continuity of use, resistance to control, effects on development and deprivation-escape. Based on the results, PTUS-YC was a valid and reliable measurement tool that can be used to determine preschool children's problematic technology use levels.

Özet

This study aimed to develop a measurement tool to identify preschool children’s problematic technology use levels and contribute to Turkish literature. The study group included in the exploratory factor analysis was composed of 357 voluntary children in the preschool period. The study group included in the confirmatory factor analysis, proximal validity analysis, item discrimination analysis, and reliability analysis was composed of a total of 402 parents. Exploratory factor analysis (EFA) was conducted to present the factor structure of PTUS-YC. Confirmatory factor analysis (CFA) was performed to test the model obtained with EFA. Item discrimination values obtained as a result of the independent sample t-test was investigated to determine the internal validity of the measurement tool. Furthermore, the correlation values between PTUS-YC items and the relevant factors and the complete measurement tool were calculated, and total item correlation was used to test whether each item served a common purpose. In addition, CR and AVE values were examined in the proximal validity analysis conducted for PTUS-YC. Reliability analysis for PTUS-YC was performed using Cronbach alpha internal consistency coefficient and McDonald's Omega coefficient methods. As a result of the exploratory factor analysis, a 4-factor structure that explained 60.392% of the total variance was obtained: continuity of use, resistance to control, effects on development and deprivation-escape. Based on the results, PTUS-YC was a valid and reliable measurement tool that can be used to determine preschool children's problematic technology use levels.

🔖

Cite This Article

KONCA, A. S., BALTACI, Ö., AKBULUT, Ö. F. (2022). Problematic Technology Use Scale for Young Children (PTUS-YC): Validity and Reliability Study. International Journal of Assessment Tools in Education, Cilt: 9 - Sayı: 2, 267–289. https://ajindex.com/articles/540022

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (12)

  1. Akboğa, Ö. F., & Gürgan, U. (2019). Gençlerde internet bağımlılığı ile sosyal kaygı bozukluğu arasındaki ilişkinin yaşam doyumu ve bazı değişkenler açısından incelenmesi. Avrasya Sosyal ve Ekonomi Araştırmaları Dergisi, 6(6), 443–464.
  2. Alonso, C., & Romero, E. (2017). Problematic Technology Use in a clinical sample of children and adolescents. Personality and behavioral problems associated. Actas Espanolas de Psiquiatria, 45(2), 62–70.
  3. American Academy of Pediatrics. (2016). American Academy of Pediatrics Announces New Recommendations for Children’s Media Use. https://www.pathwaypeds.com/american-academy-of-pediatrics-announces-new-recommendations-for-childrens-media-use/
  4. Anderson, D. R., & Pempek, T. A. (2005). Television and very young children. American Behavioral Scientist, 48(5), 505–522.
  5. Anlayışlı, C., & Bulut Serin, N. (2019). Lise öğrencilerinde internet bağımlılığı ve depresyonun cinsiyet, akademik Başarı ve internete giriş süreleri açısından incelenmesi. Folklor/Edebiyat, 25(97), 753–767.
  6. Anlı, G., & Taş, İ. (2018). Ergenler için Oyun Bağımlılığı Ölçeği Kısa Formu’nun geçerlik ve güvenirlik çalışması. Electronic Turkish Studies, 13(11), 189–203.
  7. Arıcak, O. T., Dinç, M., Yay, M., & D., G. M. (2019). İnternet Oyun Oynama Bozukluğu Ölçeği Kısa Formu’nun (İOOBÖ9-KF) Türkçeye uyarlanması: Geçerlik ve güvenirlik çalışması. Addicta: The Turkish Journal on Addictions, 6(1), 1–22.
  8. Avşaroğlu, S., & Akbulut, Ö. F. (2020). Sağlıklı aile yapısı açısından bir risk faktörü: İnternet bağımlılığı. International Social Sciences Studies Journal, 6(65), 2879–2902.
  9. Balantekin, Y. (2009). 10-14 Yaş Arası Çocuklarda Televizyon Bağımlılığı Üzerine Bir Araştırma. Uludağ Üniversitesi.
  10. Balcı, A. (2020). Sosyal bilimlerde araştırma: Yöntem, teknik ve ilkeler. Pegem. Bayraktar, F. (2001). İnternet kullanımının ergen gelişimindeki rolü. Ege Üniversitesi.
  11. Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238. Bruni, O., Sette, S., Fontanesi, L., Baiocco, R., Laghi, F., & Baumgartner, E. (2015). Technology use and sleep quality in preadolescence and adolescence. Journal of Clinical Sleep Medicine, 11(12), 1433–1441.
  12. Bryman, A., & Cramer, D. (2011). Quantitative data analysis with IBM SPSS 17, 18 and 19. Routledge. Büyüköztürk, Ş. (2018). Sosyal bilimler için veri analizi el kitabı. Pegem. Çakıroğlu, S., & Soylu, N. (2019). Adaptation of Internet Gaming Disorder Questionnaire to Turkish: reliability and validity study. Turkish Jo