Research Article
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Adaptation of Media and Technology Usage Scale and Attitude Scale to Arabic

Year 2020, Issue: 18, 389 - 400, 15.04.2020
https://doi.org/10.31590/ejosat.670527

Abstract

The aim of the study was to adapt the media and technology usage scale and attitude scale to Arabic. The methodology of the current study was a quantitative method, as the questionnaire was used from 1100 university students. Then, exploratory factor analysis was performed on the media and technology usage scale. As a result of factor analysis, nine factors emerged. The nine factors are named as follows on Facebook Check, general social media use, primary phone use, video games, media sharing, online friendships, email usage, Facebook friendships, and smartphone use. The attitude scale has three factors. The three factors are named respectively as following positive pttitude and negative attitude and Preference for Task Switching. The Cronbach alpha coefficient of the media and technology use subscale of the scale adapted to Arabic was found to be 0.757. This coefficient shows that the media and technology usage subscale has a acceptable degree of internal consistency. In addition, the value of Cronbach alpha coefficient of the attitude subscale was found be 0.699. This indicates that the attitude subscale has a acceptable degree of the internal consistency. As a result, the adapted Arabic form of media and technology usage and attitude scale is a scale that can reliably measure the media and technology usage and attitudes of individuals in Arabic-speaking places around the world.

Supporting Institution

حكومي

Project Number

1

Thanks

الشكر والتقدير الي هده المجله وايضا الشكر الي الدكتور عبد القادر كرادجي

References

  • Al-Jenaibi, B. (2011). Use of social media in the United Arab Emirates: An initial study. European Journal of Social Sciences, 23(1), 84-97.
  • Crook, C., & Garratt, D. (2005). The positivist paradigm in contemporary social science research. Research methods in the social sciences, 207-214.
  • David, M., & Sutton, C. D. (2011). Social research: An introduction: Sage.
  • Elkaseh, A. M., Wong, K. W., & Fung, C. C. (2016). Perceived ease of use and perceived usefulness of social media for e-learning in Libyan higher education: A structural equation modeling analysis. International Journal of Information and Education Technology, 6(3), 192. Field, A. (2009). Discovering statistics using SPSS: Sage publications.
  • Han, J. (2009). Supply Chain Integration, Quality Management and Firm Performance in the Pork Processing Industry in China: Wageningen Academic Publishers.
  • Küçük. (2016). “Giriş Sağliği İle Girişimcilik Düzeyi ve Girişimcilik Eğitim İlişkisi: TR90’da Bir Küçük Sanayi Sitesi Uygulamasi”, Uluslar arasi Katilimli 16. Üretim Araştirmalari Sempozyumu, İstanbul Teknik Üniversitesi , İstanbul ,12-14 Ekim 2016. Leidner, D. E., & Kayworth, T. (2006). A review of culture in information systems research: Toward a theory of information technology culture conflict. Mis Quarterly, 30(2), 357-399.
  • Lin, L. Y., Sidani, J. E., Shensa, A., Radovic, A., Miller, E., Colditz, J. B., . . . Primack, B. A. (2016). Association between social media use and depression among US young adults. Depression and anxiety, 33(4), 323-331.
  • Orfanidou, E., Woll, B., & Morgan, G. (2014). Research methods in sign language studies: A practical guide: John Wiley & Sons.
  • Rosen, L. D., Lim, A., Felt, J., Carrier, L. M., Cheever, N. A., Lara-Ruiz, J. M., . . . Rokkum, J. (2014). Media and technology use predicts ill-being among children, preteens and teenagers independent of the negative health impacts of exercise and eating habits. Computers in Human Behavior, 35, 364-375. Rosen, L. D., Whaling, K., Carrier, L. M., Cheever, N. A., & Rokkum, J. (2013). The media and technology usage and attitudes scale: An empirical investigation. Computers in Human Behavior, 29(6), 2501-2511.
  • Saunders, M., Lewis, P., & Thornhill, A. (2007). Research methods for business students: Financial Times/Prentice Hall.
  • Skalli, L. H. (2006). Communicating gender in the public sphere: Women and information technologies in the MENA. Journal of Middle East Women’s Studies, 2(2), 35-59.
  • White Baker, E., Al-Gahtani, S. S., & Hubona, G. S. (2007). The effects of gender and age on new technology implementation in a developing country: Testing the theory of planned behavior (TPB). Information Technology & People, 20(4), 352-375.

Medya ve Teknoloji Kullanımı Ölçeği ve Tutum Ölçeğinin Arapçaya Uyarlanması

Year 2020, Issue: 18, 389 - 400, 15.04.2020
https://doi.org/10.31590/ejosat.670527

Abstract

Bu çalışmadaki amaç, medya ve teknoloji kullanım ve tutum ölçeğini Arapçaya uyarlamaktır. Çalışmada, nicel bir metodoloji olarak ölçekler kullanılmıştır. Ölçekler vasıtasıyla Libya’daki 1100 üniversite öğrencisinden veri toplanmıştır. Daha sonra, medya ve teknoloji kullanım ölçeğine açımlayıcı faktör analizi yapılmıştır. Faktör analizi sonucunda dokuz faktör ortaya çıkmıştır. Bu dokuz faktör, Facebook kontrolü, genel sosyal medya kullanımı, temel telefon kullanımı, video oyunları, medya paylaşımı, çevrimiçi arkadaşlıklar, e-posta kullanımı, Facebook arkadaşlıkları ve akıllı telefon kullanımıdır. Tutum ölçeğinin üç faktörü vardır. Bu faktörler şunlardır: olumlu tutum, olumsuz tutum ve görev değiştirme tercihi. Arapçaya uyarlanan ölçeğin medya ve teknoloji kullanımı alt boyutunun Cronbach alfa katsayısı 0.757 olarak bulunmuştur. Bu katsayı, medya ve teknoloji kullanım alt boyutunun kabuledilebilir derecede iç tutarlılığa sahip olduğunu göstermektedir. Ayrıca tutum alt ölçeğinin Cronbach alfa katsayısı 0,699 olarak bulunmuştur. Bu değer, tutum alt boyutunun iç tutarlılık derecesinin kabuledilebilir olduğunu göstermektedir. Sonuç olarak medya ve teknoloji kullanım ve tutum ölçeğinin uyarlanmış Arapça formu, dünyada Arapça konuşulan yerlerdeki bireylerin medya ve teknoloji kullanım ve tutumlarını güvenilir bir şekilde ölçebilen bir ölçektir.

Project Number

1

References

  • Al-Jenaibi, B. (2011). Use of social media in the United Arab Emirates: An initial study. European Journal of Social Sciences, 23(1), 84-97.
  • Crook, C., & Garratt, D. (2005). The positivist paradigm in contemporary social science research. Research methods in the social sciences, 207-214.
  • David, M., & Sutton, C. D. (2011). Social research: An introduction: Sage.
  • Elkaseh, A. M., Wong, K. W., & Fung, C. C. (2016). Perceived ease of use and perceived usefulness of social media for e-learning in Libyan higher education: A structural equation modeling analysis. International Journal of Information and Education Technology, 6(3), 192. Field, A. (2009). Discovering statistics using SPSS: Sage publications.
  • Han, J. (2009). Supply Chain Integration, Quality Management and Firm Performance in the Pork Processing Industry in China: Wageningen Academic Publishers.
  • Küçük. (2016). “Giriş Sağliği İle Girişimcilik Düzeyi ve Girişimcilik Eğitim İlişkisi: TR90’da Bir Küçük Sanayi Sitesi Uygulamasi”, Uluslar arasi Katilimli 16. Üretim Araştirmalari Sempozyumu, İstanbul Teknik Üniversitesi , İstanbul ,12-14 Ekim 2016. Leidner, D. E., & Kayworth, T. (2006). A review of culture in information systems research: Toward a theory of information technology culture conflict. Mis Quarterly, 30(2), 357-399.
  • Lin, L. Y., Sidani, J. E., Shensa, A., Radovic, A., Miller, E., Colditz, J. B., . . . Primack, B. A. (2016). Association between social media use and depression among US young adults. Depression and anxiety, 33(4), 323-331.
  • Orfanidou, E., Woll, B., & Morgan, G. (2014). Research methods in sign language studies: A practical guide: John Wiley & Sons.
  • Rosen, L. D., Lim, A., Felt, J., Carrier, L. M., Cheever, N. A., Lara-Ruiz, J. M., . . . Rokkum, J. (2014). Media and technology use predicts ill-being among children, preteens and teenagers independent of the negative health impacts of exercise and eating habits. Computers in Human Behavior, 35, 364-375. Rosen, L. D., Whaling, K., Carrier, L. M., Cheever, N. A., & Rokkum, J. (2013). The media and technology usage and attitudes scale: An empirical investigation. Computers in Human Behavior, 29(6), 2501-2511.
  • Saunders, M., Lewis, P., & Thornhill, A. (2007). Research methods for business students: Financial Times/Prentice Hall.
  • Skalli, L. H. (2006). Communicating gender in the public sphere: Women and information technologies in the MENA. Journal of Middle East Women’s Studies, 2(2), 35-59.
  • White Baker, E., Al-Gahtani, S. S., & Hubona, G. S. (2007). The effects of gender and age on new technology implementation in a developing country: Testing the theory of planned behavior (TPB). Information Technology & People, 20(4), 352-375.
There are 12 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Articles
Authors

Adel Ayad 0000-0003-3662-0079

Abdulkadir Karacı 0000-0002-2430-1372

Project Number 1
Publication Date April 15, 2020
Published in Issue Year 2020 Issue: 18

Cite

APA Ayad, A., & Karacı, A. (2020). Adaptation of Media and Technology Usage Scale and Attitude Scale to Arabic. Avrupa Bilim Ve Teknoloji Dergisi(18), 389-400. https://doi.org/10.31590/ejosat.670527