Journals / Eğitim ve Bilim / 2013 / Cilt: 38 - Sayı: 168

Adaptation of Online Information Searching Strategy Inventory into Turkish

Çevrimiçi Bilgi Arama Stratejileri Envanteri'nin Türkçeye uyarlama çalışması

Pages
167–182
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)

Cronbach alpha coefficient was found .910 and McDonald ω(omega) which is proposed as being more appropriate for congeneric measurement was found .942.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The purpose of this study is to adapt Online Information Seeking Inventory , developed by Tsai (2009), to Turkish and provide validity and reliability of the Turkish form.
📊
Key Findings & Data:The Study group is consisted of 788 people who responded the online survey either pencil-paper based or web based.
💡
Conclusion & Impact:Cronbach alpha coefficient was found .910 and McDonald ω(omega) which is proposed as being more appropriate for congeneric measurement was found .942.
🔬Design:Survey & Empirical Study
📍Scope:2009 Verileri
⚙️Variables:Domain Parameters

Abstract

The purpose of this study is to adapt Online Information Seeking Inventory , developed by Tsai (2009), to Turkish and provide validity and reliability of the Turkish form. The Study group is consisted of 788 people who responded the online survey either pencil-paper based or web based. After translating studies to provide language equivalency, first and second order confirmatory factor analyses were conducted for validity and cronbach alpha coefficient and McDonald s omega were calculated for reliability evidences. As the result of confirmatory factor analysis, confirmatory model of inventory that comprised of totally 25 items and 7 factors ( disorientation , evaluation , purposeful thinking , select main ideas , trial & error ,control and problem ) was found to be well fit. Cronbach alpha coefficient was found .910 and McDonald ω(omega) which is proposed as being more appropriate for congeneric measurement was found .942.

Özet

Bu çalışmanın amacı Tsai (2009) tarafından geliştirilen Çevrimiçi Bilgi Arama Stratejileri Envanteri ni Türkçeye uyarlamak ve ölçeğin Türkçe formunun geçerlilik ve güvenirlik çalışmalarını yapmaktır. Çalışma çevrimiçi bilgi arama stratejileri envanterini web üzerinden ve kâğıt-kalem tabanlı olarak yanıtlayan 788 kişiyle yürütülmüştür. Ölçeğin çeviri çalışmasından sonra, geçerlik çalışmaları için birinci ve ikinci düzey doğrulayıcı faktör analizleri yapılmış, güvenirlik çalışmaları için ise cronbach alpha katsayısı ve McDonaldın omega katsayısı hesaplanmıştır. Toplamda 25 madde ve 7 faktörden ( kaybolma , değerlendirme , amaçlı düşünme , temel fikirleri ayırt etme , deneme yanılma , kontrol ve problem çözme ) oluşan envantere ilişkin modelin doğrulayıcı faktör analizi sonucunda iyi uyum gösterdiği bulunmuştur. Ölçeğin tümünün Cronbach Alpha katsayısı .910, konjenerik ölçümler için daha uygun sonuçlar verdiği ifade edilen McDonaldın (omega) katsayısı ise .942 olarak hesaplanmıştır.

🔖

Cite This Article

MAZMAN, S. G., AŞKAR, P. (2022). Adaptation of Online Information Searching Strategy Inventory into Turkish. Eğitim ve Bilim, Cilt: 38 - Sayı: 168, 167–182. https://ajindex.com/articles/497538

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (8)

  1. Büyüköztürk, Ş. (2007), Sosyal Bilimler için Veri Analizi El Kitabı, Ankara:
  2. Pegem A Yayıncılık. Field, A., (2005). Discovering Statistics Using SPSS. 2nd ed. London: Sage. Flavell, J. H. (1979). Metacognition and cognitive monitoring: A new area of cognitive development inquiry. American Psychologist, 34, 906-911.
  3. Hill, J.R., & Hannafin, M.J. (1997). Cognitive strategies and learning from the World Wide Web. Educational Technology Research and Development, 45(4), 37–64. Kim, K-S. (2001). Information-seeking on the Web: Effects of user and task variables, Library & Information Science Research, 23(3). 233-255.
  4. Kline, R. B. (1998). Principles and Practice of Structural Equation Modeling, New York: Guilford Press.
  5. Kuiper, E., Volman, M., & Terwel, J. (2005). The Web as an information resource in K-12 education: Strategies for supporting students in searching and processing information. Review of Educational Research, 75(3), 285–328. Lorenzen, M. (2002). The land of confusion? High school students and their use of the World Wide Web for research. Research strategies, 18(2), 151–163. Malliari, A., Korobilli, S. & Zapounidou, S. (2011). Exploring the information seeking behavior of Greek graduate students: A case study set in the University of Macedonia. The International Information & Library Review. 43(2). 79-91.
  6. McDonald, R. (1985). Factor analysis and related methods. Hillsdale, N J: Erlbaum. Navarro-Prieto, R., Scaife, M., & Rogers, Y. (1999). Cognitive strategies in web searching. 18.05.2010 tarihinde http://zing.ncsl.nist.gov/hfweb/proceedings/navarro-prieto/index. html adresinden erişilmiştir. Rosenshine, B., Meister, C., & Chapman, S. (1996). Teaching students to generate questions: A review of the intervention studies. Review of Educational Research, 66, 181-221.
  7. Schermelleh-Engel, K. and Moosbrugger, H. (2003). Methods of Psychological Research Online. 8(2). 23-74.
  8. University of Koblenz-Landau. Sümer, N. (2000). Yapısal eşitlik modelleri: Temel kavramlar ve örnek uygulamalar, Türk Psikoloji Yazıları. 3(6). 49–74. Aralık. Tsai, M.-J., & Tsai, C. C. (2003). Information searching strategies in web-based science learning: The role of Internet self-efficacy. Innovations in Education and Teaching International, 40(1), 43–50. Tsai, M.J. (2009). Online Information Searching Strategy Inventory (OISSI): A quick version and a complete version. Computers & Education 53. 473–483. Tsai, M.J. Liang, J-C., Hou, H-T. & Tsai, C-C. (2012). University students’ online i