268
Views
0
CrossRef citations to date
0
Altmetric
Original Articles

A Cross-cultural Validation of Adapted Questionnaire for Assessing Motivation to Learn Science

ORCID Icon & ORCID Icon

References

  • Ab Hamid, M.R., Sami, W., & Sidek, M.H. (2017). Discriminant validity assessment: Use of Fornell & Larcker criterion versus HTMT criterion. Journal of Physics: Conference Series, 890(12163). Retrieved from: https://doi.org/10.1088/1742-6596/890/1/012163
  • American Association for the Advancement of Science (1993). Benchmarks for science literacy. New York: Oxford University Press.
  • Bandura, A. (2009). Social cognitive theory of mass communication. In J Bryant and M.B. Oliver (Eds), Media effects (3rd ed., pp. 94–124). New York: Routledge.
  • Cabrera-Nguyen, P. (2010). Author guidelines for reporting scale development and validation results in the Journal of the Society for Social Work and Research. Journal of the Society for Social Work and Research, 1(2), 99–103. doi: 10.5243/jsswr.2010.8
  • Chen, J.A. (2012). Implicit theories, epistemic beliefs, and science motivation: A person-centered approach. Learning and Individual Differences, 22(6), 724–735. doi: 10.1016/j.lindif.2012.07.013
  • Chen, J.A., Metcalf, S.J., & Tutwiler, M.S. (2014). Motivation and beliefs about the nature of scientific knowledge within an immersive virtual ecosystems environment. Contemporary Educational Psychology, 39(2), 112–123. doi: 10.1016/j.cedpsych.2014.02.004
  • Chumbley, S.B., Haynes, J.C., & Stofer, K.A. (2015). A measure of students’ motivation to learn science through agricultural STEM emphasis. Journal of Agricultural Education, 56(4), 107–122. doi: 10.5032/jae.2015.04107
  • Cristobal, E., Flavián, C., & Guinalíu, M. (2007). Perceived e-service quality (PeSQ). Managing Service Quality: An International Journal, 17(3), 317–340. doi: 10.1108/09604520710744326
  • Dermitzaki, I., Stavroussi, P., Vavougios, D., & Kotsis, K.T. (2013). Adaptation of the Students’ Motivation Towards Science Learning (SMTSL) questionnaire in the Greek language. European Journal of Psychology of Education, 28(3), 747–766. doi: 10.1007/s10212-012-0138-1
  • DeVellis, R.F. (2003). Scale development: Theory and applications (2nd ed.). Thousand Oaks, CA: Sage.
  • Elliot, A.J., & Murayama, K. (2008). On the measurement of achievement goals: Critique, illustration, and application. Journal of Educational Psychology, 100(3), 613–628. doi: 10.1037/0022-0663.100.3.613
  • Fornell, C., & Larcker, D.F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39. doi: 10.2307/3151312
  • Garson, G.D. (2015). Structural equation modelling. Asheboro, NC: Statistical Associates.
  • Gaskin, J. (2016). Validity master: Stats Tools Package. Retrieved from: http://statwiki.kolobkreations.com
  • Glynn, S.M., Taasoobshirazi, G., & Brickman, P. (2009). Science motivation questionnaire: Construct validation with nonscience majors. Journal of Research in Science Teaching, 46(2), 127–146. doi: 10.1002/tea.20267
  • Glynn, S.M., Brickman, P., Armstrong, N., & Taasoobshirazi, G. (2011). Science motivation questionnaire II: Validation with science majors and nonscience majors. Journal of Research in Science Teaching, 48(10), 1159–1176. doi: 10.1002/tea.20442
  • Hair, J., Black, W., Babin, B., & Anderson, R. (2010). Multivariate data analysis (7th ed.). Upper Saddle River, NJ: Prentice-Hall.
  • Hair Jr, J.F., Hult, G.T.M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Thousand Oaks, CA: Sage.
  • Henson, R.K., & Roberts, J.K. (2006). Use of exploratory factor analysis in published research: Common errors and some comment on improved practice. Educational and Psychological Measurement, 66(3), 393–416. doi: 10.1177/0013164405282485
  • Ho, H.-N.J., & Liang, J.-C. (2015). The relationships among scientific epistemic beliefs, conceptions of learning science, and motivation of learning science: A study of Taiwan high school students. International Journal of Science Education, 37(16), 2688–2707. doi: 10.1080/09500693.2015.1100346
  • Hooper, D., Coughlan, J., & Mullen, M.R. (2008). Structural equation modelling: Guidelines for determining model fit. The Electronic Journal of Business Research Methods, 6(1), 53–60.
  • Huang, W.Y., & Wong, S.H. (2014). Cross-cultural validation. In: A.C. Michalos (Eds), Encyclopedia of quality of life and well-being research (pp. 1369–1371). Dordrecht: Springer.
  • Malhotra, N.K., & Dash, S. (2011). Marketing research: An applied orientation. London: Pearson.
  • National Academy of Sciences (2010). Expanding underrepresented minority participation: America’s science and technology talent at the crossroads. Washington, DC: National Academies Press.
  • National Research Council (2007). Taking science to school: Learning and teaching science in Grades K–8. Washington, DC: National Academy Press.
  • Pintrich, P.R. (2003). A motivational science perspective on the role of student motivation in learning and teaching contexts. Journal of Educational Psychology, 95(4), 667–686. doi: 10.1037/0022-0663.95.4.667
  • Pintrich, P.R., & Schunk, D.H. (2002). Motivation in education: Theory, research, and applications (2nd ed.). Columbus, OH: Merrill Prentice Hall.
  • Rebelo-Pinto, T., Pinto, J.C., Rebelo-Pinto, H., & Paiva, T. (2014). Validation of a three-dimensional model about sleep: Habits, personal factors and environmental factors. Sleep Science, 7(4), 197–202. doi: 10.1016/j.slsci.2014.12.002
  • Schraw, G., Bendixen, L.D., & Dunkle, M.E. (2002). Development and validation of the Epistemic Belief Inventory (EBI). In K. Hofer & P.R. Pintrich (Eds), Personal epistemology: The psychology of beliefs about knowledge and knowing (pp. 261–275). Mahwah, NJ: Lawrence Erlbaum.
  • Streiner, D.L. (2003). Starting at the beginning: An introduction to coefficient alpha and internal consistency. Journal of Personality Assessment, 80(1), 99–103. doi: 10.1207/S15327752JPA8001_18
  • Summers, R., & Abd-El-Khalick, F. (2017). Development and validation of an instrument to assess student attitudes toward science across grades 5 through 10. Journal of Research in Science Teaching, 55(2), 172–205. doi: 10.1002/tea.21416
  • Teo, T. (2013). Examining the psychometric properties of the Epistemic Belief Inventory (EBI). Journal of Psychoeducational Assessment, 31(1), 72–79. doi: 10.1177/0734282912449436
  • Tuan, H.L., Chin, C.C., & Shieh, S.H. (2005). The development of a questionnaire to measure students’ motivation towards science learning. International Journal of Science Education, 27(6), 639–654. doi: 10.1080/0950069042000323737
  • van Sonderen, E., Sanderman, R., & Coyne, J.C. (2013). Ineffectiveness of reverse wording of questionnaire items: Let’s learn from cows in the rain. PLoS One, 8(7), 1–7.
  • Wang, C.-L., & Liou, P.-Y. (2017). Students’ motivational beliefs in science learning, school motivational contexts, and science achievement in Taiwan. International Journal of Science Education, 39(7), 898–917. doi: 10.1080/09500693.2017.1310410
  • Weijters, B., Baumgartner, H., & Schillewaert, N. (2013). Reversed item bias: An integrative model. Psychological Methods, 18(3), 320–334. doi: 10.1037/a0032121
  • Wieland, A., Durach, C.F.F., Kembro, J.H., & Treiblmaier, H. (2017). Statistical and judgmental criteria for scale purification. Supply Chain Management: An International Journal, 22(4), 321–328. doi: 10.1108/SCM-07-2016-0230
  • Worthington, R.L., & Whittaker, T.A. (2006). Scale development research: A content analysis and recommendations for best practices. The Counseling Psychologist, 34(6), 806–838. doi: 10.1177/0011000006288127
  • Yilmaz, H., & Cavas, P.H. (2007). Reliability and validity study of the Students’ Motivation toward Science Learning (SMTSL) questionnaire. Elementary Education Online, 6(3), 430–440. Retrieved from http://ilkogretim-online.org.tr

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.