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All issues Volume 26 (2016) SHS Web of Conferences, 26 (2016) 01104 References
Open Access
Issue
SHS Web of Conferences
Volume 26, 2016
ERPA International Congresses on Education 2015 (ERPA 2015)
Article Number 01104
Number of page(s) 8
DOI https://doi.org/10.1051/shsconf/20162601104
Published online 26 April 2016
  1. Vallerand, R. J., Pelletier, L. G., Blais, M. R., Brière, N. M., Senécal, C. & Vallières, E. F. (1992). The academic motivation scale: a measure of intrinsic, extrinsic, and amotivation in education. Educational and Psychological Measurement, 52, 1003–1017. [Google Scholar]
  2. Vallerand, R. J., Pelletier, L. G., Blais, M. R., Brière, N. M., Senécal, C. & Vallières, E. F. (1993). On the assessment of intrinsic, extrinsic and amotivation in education: Evidence on the concurrent and construct validity of the academic motivation scale. Educational and Psychological Measurement, 53, 159–172. [CrossRef] [Google Scholar]
  3. Vallerand, R. J., Blais, M. R., Brière, N. M. & Pelletier, L. G. (1989). Construction et validation de l’échelle de motivation en éducation (EME). Revue Canadienne Des Sciences Du Comportement, 21, 323–349. [Google Scholar]
  4. Tsorbatzoudis, H., Barkoukis, V. & Koidou, I. (1999). Re-examining the psychometric characteristics of the Greek version of the academic motivation scale. Paper presented at the 5th European Conference on Psychological Assessment, 25–29 August, in Patra, Greece. [Google Scholar]
  5. Tsorbatzoudis, H., Barkoukis, V. & Grouios, G. (2001). A preliminary study of the psychometric properties of the academic motivation scale. Psychology 8, no. 3: 526–537 [in Greek]. [Google Scholar]
  6. Sümer, N. (2000). Yapısal eşitlik modelleri. Türk psikoloji yazıları, 3 (6), 49–74. [Google Scholar]
  7. Schumacker, R. E. & Lomax, R. G. (2004). A beginner’s guide to structural equation modeling. Second edition. New Jersey. Lawrence Erlbaum Associates. [Google Scholar]
  8. Ryan, R. M. & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55, 68–78. [CrossRef] [PubMed] [Google Scholar]
  9. Miserandino, M. (1996). Children who do well in school: Individual differences in perceived competence and autonomy in above average children. Journal of Educational Psychology, 88, 203–214. [CrossRef] [Google Scholar]
  10. McDonald, R. P., Ho, M. H. R. (2002). Principles and practice in reporting structural equation analyses. Psychological Methods, 7, 64–82 [CrossRef] [Google Scholar]
  11. Marsh, H. W. & Hocevar, D. (1988). A new more powerful approach to multitraitmultimethod analyses: Application of second-order confirmatory factor analysis. Journal of Applied Psychology,73, 107–117 [CrossRef] [Google Scholar]
  12. Kelloway, E. K. (1998). Using Lisrel for Structural Equation Modeling. United States of America, Sage Publications. [Google Scholar]
  13. Karagüven, M. H. Ü. (2012). Akademik Motivasyon Ölçeğinin Türkçeye Adaptasyonu Kuram ve Uygulamada Eğitim Bilimleri Educational Sciences: Theory & Practice - 12(4). 2606–2608 [Google Scholar]
  14. Jöreskog, K. G. & Sörbom D. (1993). Lisrel 8.0: Structural equation modeling with the simplis command language, Hillsdale, NJ, Lawrence Erlbaum Associates Publishers. [Google Scholar]
  15. Hu, L. T. & Bentler, P. M. (1999). Cut-off criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling 6, 1–55. [CrossRef] [Google Scholar]
  16. Grolnick, W. S. & Ryan, R. M. (1989). Parent styles associated with children’s selfregulation and competence in school. Journal of Educational Psychology, 81, 143–154. [CrossRef] [Google Scholar]
  17. Deci, E. L & Ryan, R. M. (2000). The “what” and “why” of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227–268. [Google Scholar]
  18. Cokley, K. O., Bernard, N., Cunningham, D. & Motoike, J. (2001). A Psychometric Investigation of the Academic Motivation Scale Using a United States Sample. Measurement and Evaluation in Counseling and Development, 34(2), 109–119. [Google Scholar]
  19. Caleon, I. S., Wui, M. G. L., Tan, J. P. L., Chiam, C. L., Soon, T. C. & King, R. B. (2015) Cross-Cultural Validation of the Academic MotivationScale: A Singapore Investigation. Child Ind Res DOI 10.1007/s12187-014-9298-7 [Google Scholar]
  20. Bozanoğlu, İ. (2004). Akademik Güdülenme Ölçeği: geliştirmesi, geçerliği, güvenirliği, Ankara Üniversitesi Eğitim Bilimleri Fakültesi Dergisi, 37(2), 83–98. [Google Scholar]
  21. Bentler, P. M. (1990). Comparative fit indexes in structural equation models. Psychological Bulletin, 107, 238–246 [CrossRef] [Google Scholar]
  22. Barkoukis, V., Tsorbatzoudis, H., Grouios, G. & Sideridis, G. (2008). The assessment of intrinsic and extrinsic motivation and amotivationivation: Validity and reliability of the Greek version of the Academic Motivation Scale. Assessment in Education: Principles, Policy & Practice, 15(1), 39–55. doi:10.1080/09695940701876128. [CrossRef] [Google Scholar]
  23. Anderson, J. C. & Gerbing, DW. (1984). The effect of sampling error on convergence, improper solutions, and goodness-of-fit indices for maximum likelihood confirmatory factor analysis. Psychometrika, 49, 155–173. [CrossRef] [Google Scholar]

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