Research Article
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Year 2018, Volume: 47 Issue: 1, 233 - 245, 22.04.2018
https://doi.org/10.14812/cuefd.298791

Abstract

References

  • Akyol, Z., & Garrison, D. R. (2011). Assessing metacognition in an online community of inquiry. The Internet and Higher Education, 14(3), 183-190.
  • Akyol, Z., Garrison, D. R., & Vaughan, N. (2012). The development of a metacognition questionnaire for online and blended communities of inquiry. Paper presented at the Annual Meeting of the American Educational Research Association. Vancouver, April.
  • Artino, A. R., & Stephens, J. M. (2009). Academic motivation and self-regulation: A comparative analysis of undergraduate and graduate students learning online. The Internet and Higher Education, 12(3), 146-151.
  • Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice-Hall.
  • Barnard, L., Lan, W. Y., To, Y. M., Paton, V. O., & Lai, S. L. (2009). Measuring self-regulation in online and blended learning environments. The Internet and Higher Education, 12(1), 1-6.
  • Barnard, L., Paton, V., & Lan, W. (2008). Online self-regulatory learning behaviors as a mediator in the relationship between online course perceptions with achievement. The International Review of Research in Open and Distributed Learning, 9(2).
  • Brown, T. A. (2015). Confirmatory factor analysis for applied research. Guilford Publications.
  • Cattell, R. (1978). The scientific use of factor analysis. New York: Plenum.
  • Çokluk, Ö., Şekercioğlu, G. & Büyüköztürk, Ş. (2010). Sosyal bilimler için çok değişkenli istatistik. Ankara, Pegem Yayıncılık.
  • Dabbagh, N., & Kitsantas, A. (2004). Supporting self-regulation in student-centered Web-based learning environments. International Journal on E-Learning, 3(1), 40–47.
  • English, H.B., & English, A.C. (1958). A comprehensive dictionary of psychological and psychoanalytical terms. NewYork: McKay.
  • Everitt, B. (1975). Multivariate analysis: The need for data, and other problems. BritishJournal of Psychiatry, 126, 237-240.
  • Field, A. (2013). Discovering statistics using IBM SPSS statistics (4th Ed.). London: Sage.
  • Garrison, R., Anderson, T., & Archer, W. (2000). Critical inquiry in a text-based environment: Computer conferencing in higher education. The Internet and Higher Education, 2(2-3): 87-105.
  • Gorsuch, R. L. (1983). Factor analysis (2th Ed). Hillsdale, NJ: Erlbaum.
  • Guilford, J. P. (1954). Psychometric methods (2th Ed). New York: McGraw-Hill.
  • Hair, J.F., Black, W.C., Tatham, R.L., & Anderson, R.E. (2010). Multivariate data analysis. Upper Saddle River, NJ: Prentice Hall.
  • Kline, P. (1994). An easy guide to factor analysis. New York: Routledge.
  • Lan, W. Y., Bremer, R., Stevens, T., & Mullen, G. (2004). Self-regulated learning in the online environment. Paper presented at the 2004 annual meeting American Educational Research Association, April 7-8, San Diego.
  • MacCallum, R.C. & Widaman K.F. (1999). Sample size in factor analysis. Psychological Methods. 4(1), 84-99.
  • Nunnally, J. (1978). Psychometric theory (2th Ed). New York: McGraw-Hill.
  • Ong, A. D., & Van Dulmen, M. H. (Eds.). (2007). Oxford handbook of methods in positive psychology (pp. 111-125). New York: Oxford University Press.
  • Pearson, R. H., & Mundform, D. J. (2010). Recommended sample size for conducting exploratory factor analysis on dichotomous data. Journal of Modern Applied Statistical Methods, 9(2).
  • Sandars, J., & Cleary, T. J. (2011). Self-regulation theory: Applications to medical education: AMEE Guide No. 58. Medical teacher, 33(11), 875-886.
  • Schunk, D. H., & Zimmerman, B.J. (1994). Self-regulation of learning and performance: Issues and educational applications. Hillsdale, NJ: Lawrence Erlbaum Associates
  • Schunk, D. H, & Zimmerman, B. J. (Eds.). (1998). Self-regulated learning: From teaching to self-reflective practice. New York: The Guilford Press.
  • Shea, P., Hayes, S., Smith, S. U., Vickers, J., Bidjerano, T., Gozza-Cohen, M., Jian, S.B., Pickett, A.M., Wilde, J. & Tseng, C. H. (2013). Online learner self-regulation: Learning presence viewed through quantitative content-and social network analysis. The International Review of Research in Open and Distributed Learning, 14(3), 427-461.
  • Stevens, J. (2009). Applied multivariate statistics for the social sciences (5th Ed.). NJ: Lawrence Erlbaum Associates.
  • Sümer, N. (2000). Yapısal eşitlik modelleri: Temel kavramlar ve örnek uygulamalar. Türk Psikoloji Yazıları, 3(6):74-79.
  • Tabachnick, B.G. & Fidell, L.S. (2013). Using multivariate statistics (6th Ed). Needham Heights, MA: Allyn and Bacon.
  • Uzun, A. M., Unal, E., & Yamac, A. (2013). Service teachers' academic achievements in online distance education: The roles of online self-regulation and attitudes. Turkish Online Journal of Distance Education, 14(2), 131-140.
  • Yetik, S. S. (2013). Çevrimiçi öz düzenleyici öğrenme ortamında farklı denetim odaklarına göre sunulan metabilişsel rehberliğin öğretmen adaylarının öz düzenleme becerilerine ve öz yeterlik algılarına etkisi. Yayımlanmamış doktora tezi. Ankara: Ankara Üniversitesi Eğitim Bilimleri Enstitüsü.
  • Zimmerman, B. J. (1998). Academic studing and the development of personal skill: A self-regulatory perspective. Educational Psychologist, 33(2-3), 73-86.
  • Zimmerman, B. J. (2000). Attaining self-regulation: A social cognitive perspective. In M. Boekaerts, P. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation, research, and applications (pp. 13–39). California, USA: Academic Press.
  • Zimmerman, B. J., & Schunk, D. H. (1989). Self-regulated learning and academic achievement: Theory, research, and practice. New York: Springer-Verlag.
  • Zimmerman, B. J., Boekarts, M., Pintrich, P. R., & Zeidner, M. (2000). A social cognitive perspective. Handbook of self-regulation, 13(1), 695-716.

Online Self-regulation Questionnaire: Validity and Reliability Study of Turkish Translation

Year 2018, Volume: 47 Issue: 1, 233 - 245, 22.04.2018
https://doi.org/10.14812/cuefd.298791

Abstract

This study aims to translate online self-regulated
learning questionnaire (OLSQ) into Turkish and administer its validity and
reliability issues. In the questionnaire, 24 items were translated into Turkish
separately by nine experts, and then back-translation was conducted by two
language experts. Pilot test was conducted with 321 students enrolled in fully
online associate degree programs in a well-known public university in Adana,
Turkey. In terms of validity issue, confirmatory factor analysis indicated that
Turkish OLSQ was valid with acceptable worth of fit values: χ2/df = 2.45, RMSEA
= .06, RMR =.08, SRMR = .06, TLI = .89, CFI = .90, GFI = .86, AGFI = .84, and
NFI = .80. Regarding with reliability, Cronbach’s alpha values indicating
internal consistency varied between .67 and .87 for three sub-factors, and .95
for the whole instrument which yields high reliability. Therefore, Turkish OLSQ
could be used to measure learners’ self-regulated skills in any kind of online
learning settings since it provided its validity and reliability issues and
fits with the original version.

References

  • Akyol, Z., & Garrison, D. R. (2011). Assessing metacognition in an online community of inquiry. The Internet and Higher Education, 14(3), 183-190.
  • Akyol, Z., Garrison, D. R., & Vaughan, N. (2012). The development of a metacognition questionnaire for online and blended communities of inquiry. Paper presented at the Annual Meeting of the American Educational Research Association. Vancouver, April.
  • Artino, A. R., & Stephens, J. M. (2009). Academic motivation and self-regulation: A comparative analysis of undergraduate and graduate students learning online. The Internet and Higher Education, 12(3), 146-151.
  • Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice-Hall.
  • Barnard, L., Lan, W. Y., To, Y. M., Paton, V. O., & Lai, S. L. (2009). Measuring self-regulation in online and blended learning environments. The Internet and Higher Education, 12(1), 1-6.
  • Barnard, L., Paton, V., & Lan, W. (2008). Online self-regulatory learning behaviors as a mediator in the relationship between online course perceptions with achievement. The International Review of Research in Open and Distributed Learning, 9(2).
  • Brown, T. A. (2015). Confirmatory factor analysis for applied research. Guilford Publications.
  • Cattell, R. (1978). The scientific use of factor analysis. New York: Plenum.
  • Çokluk, Ö., Şekercioğlu, G. & Büyüköztürk, Ş. (2010). Sosyal bilimler için çok değişkenli istatistik. Ankara, Pegem Yayıncılık.
  • Dabbagh, N., & Kitsantas, A. (2004). Supporting self-regulation in student-centered Web-based learning environments. International Journal on E-Learning, 3(1), 40–47.
  • English, H.B., & English, A.C. (1958). A comprehensive dictionary of psychological and psychoanalytical terms. NewYork: McKay.
  • Everitt, B. (1975). Multivariate analysis: The need for data, and other problems. BritishJournal of Psychiatry, 126, 237-240.
  • Field, A. (2013). Discovering statistics using IBM SPSS statistics (4th Ed.). London: Sage.
  • Garrison, R., Anderson, T., & Archer, W. (2000). Critical inquiry in a text-based environment: Computer conferencing in higher education. The Internet and Higher Education, 2(2-3): 87-105.
  • Gorsuch, R. L. (1983). Factor analysis (2th Ed). Hillsdale, NJ: Erlbaum.
  • Guilford, J. P. (1954). Psychometric methods (2th Ed). New York: McGraw-Hill.
  • Hair, J.F., Black, W.C., Tatham, R.L., & Anderson, R.E. (2010). Multivariate data analysis. Upper Saddle River, NJ: Prentice Hall.
  • Kline, P. (1994). An easy guide to factor analysis. New York: Routledge.
  • Lan, W. Y., Bremer, R., Stevens, T., & Mullen, G. (2004). Self-regulated learning in the online environment. Paper presented at the 2004 annual meeting American Educational Research Association, April 7-8, San Diego.
  • MacCallum, R.C. & Widaman K.F. (1999). Sample size in factor analysis. Psychological Methods. 4(1), 84-99.
  • Nunnally, J. (1978). Psychometric theory (2th Ed). New York: McGraw-Hill.
  • Ong, A. D., & Van Dulmen, M. H. (Eds.). (2007). Oxford handbook of methods in positive psychology (pp. 111-125). New York: Oxford University Press.
  • Pearson, R. H., & Mundform, D. J. (2010). Recommended sample size for conducting exploratory factor analysis on dichotomous data. Journal of Modern Applied Statistical Methods, 9(2).
  • Sandars, J., & Cleary, T. J. (2011). Self-regulation theory: Applications to medical education: AMEE Guide No. 58. Medical teacher, 33(11), 875-886.
  • Schunk, D. H., & Zimmerman, B.J. (1994). Self-regulation of learning and performance: Issues and educational applications. Hillsdale, NJ: Lawrence Erlbaum Associates
  • Schunk, D. H, & Zimmerman, B. J. (Eds.). (1998). Self-regulated learning: From teaching to self-reflective practice. New York: The Guilford Press.
  • Shea, P., Hayes, S., Smith, S. U., Vickers, J., Bidjerano, T., Gozza-Cohen, M., Jian, S.B., Pickett, A.M., Wilde, J. & Tseng, C. H. (2013). Online learner self-regulation: Learning presence viewed through quantitative content-and social network analysis. The International Review of Research in Open and Distributed Learning, 14(3), 427-461.
  • Stevens, J. (2009). Applied multivariate statistics for the social sciences (5th Ed.). NJ: Lawrence Erlbaum Associates.
  • Sümer, N. (2000). Yapısal eşitlik modelleri: Temel kavramlar ve örnek uygulamalar. Türk Psikoloji Yazıları, 3(6):74-79.
  • Tabachnick, B.G. & Fidell, L.S. (2013). Using multivariate statistics (6th Ed). Needham Heights, MA: Allyn and Bacon.
  • Uzun, A. M., Unal, E., & Yamac, A. (2013). Service teachers' academic achievements in online distance education: The roles of online self-regulation and attitudes. Turkish Online Journal of Distance Education, 14(2), 131-140.
  • Yetik, S. S. (2013). Çevrimiçi öz düzenleyici öğrenme ortamında farklı denetim odaklarına göre sunulan metabilişsel rehberliğin öğretmen adaylarının öz düzenleme becerilerine ve öz yeterlik algılarına etkisi. Yayımlanmamış doktora tezi. Ankara: Ankara Üniversitesi Eğitim Bilimleri Enstitüsü.
  • Zimmerman, B. J. (1998). Academic studing and the development of personal skill: A self-regulatory perspective. Educational Psychologist, 33(2-3), 73-86.
  • Zimmerman, B. J. (2000). Attaining self-regulation: A social cognitive perspective. In M. Boekaerts, P. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation, research, and applications (pp. 13–39). California, USA: Academic Press.
  • Zimmerman, B. J., & Schunk, D. H. (1989). Self-regulated learning and academic achievement: Theory, research, and practice. New York: Springer-Verlag.
  • Zimmerman, B. J., Boekarts, M., Pintrich, P. R., & Zeidner, M. (2000). A social cognitive perspective. Handbook of self-regulation, 13(1), 695-716.
There are 36 citations in total.

Details

Primary Language English
Subjects Studies on Education
Journal Section Article
Authors

Selcan Kilis

Zahide Yıldırım

Publication Date April 22, 2018
Submission Date March 18, 2017
Published in Issue Year 2018 Volume: 47 Issue: 1

Cite

APA Kilis, S., & Yıldırım, Z. (2018). Online Self-regulation Questionnaire: Validity and Reliability Study of Turkish Translation. Çukurova Üniversitesi Eğitim Fakültesi Dergisi, 47(1), 233-245. https://doi.org/10.14812/cuefd.298791

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