A Cross-Cultural Validation of the MUSIC® Model of Academic Motivation Inventory: Evidence from Chinese- and Spanish-Speaking University Students
https://doi.org/10.17583/ijep.2017.2357
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Abstract
The purpose of this study was to examine the extent to which Chinese and Spanish translations of the College Student version of the MUSIC® Model of Academic Motivation Inventory (MUSIC Inventory; Jones, 2012) demonstrate acceptable psychometric properties. We surveyed 300 students at a university in China and 201 students at a university in Colombia using versions of the MUSIC Inventory that were translated into Chinese and Spanish, respectively. To assess the psychometric properties of the inventory, we examined: (a) the internal consistency reliabilities for all of the scales, (b) the fit indices and factor loadings produced from confirmatory factor analysis, and (c) correlations between the MUSIC Inventory scales and behavioral and cognitive engagement. The results provide evidence that the Chinese and Spanish translations of the MUSIC Inventory demonstrate acceptable psychometric properties for use with undergraduate students. Therefore, instructors and researchers can use the translated inventories to assess students’ perceptions of the five MUSIC® Model of Motivation components.
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References
Berlyne, D. E. (1960). Conflict, arousal, and curiosity. New York: McGraw-Hill.
Google Scholar CrossrefBrown, E. R., Smith, J. L., Thoman, D. B., Allen, J. M., & Muragishi, G. (2015). From bench to bedside: A communal utility value intervention to enhance students’ biomedical science motivation. Journal of Educational Psychology, 107(4), 1116–1135.
Google Scholar CrossrefBrowne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 445–455). Newbury Park, CA: Sage.
Google Scholar CrossrefByrne, B. M. (2001). Structural equation modeling with AMOS: Basic concepts, applications, and programming. Mahwah, NJ: Lawrence Erlbaum.
Google Scholar CrossrefGeorge, D., & Mallery, P. (2003). SPSS for Windows step by step. New York: Allyn and Bacon.
Google Scholar CrossrefHu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indices in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55. doi:http://dx.doi.org/10.1080/10705519909540118
Google Scholar CrossrefJones, B. D. (2009). Motivating students to engage in learning: The MUSIC Model of Academic Motivation. International Journal of Teaching and Learning in Higher Education, 21(2), 272–285.
Google Scholar CrossrefJones, B. D. (2010). An examination of motivation model components in face-to-face and online instruction. Electronic Journal of Research in Educational Psychology, 8(3), 915–944.
Google Scholar CrossrefJones, B. D. (2015). Motivating students by design: Practical strategies for professors. Charleston, SC: CreateSpace.
Google Scholar CrossrefJones, B. D. (2012). User guide for assessing the components of the MUSIC Model of Academic Motivation. Retrieved from http://www.theMUSICmodel.com
Google Scholar CrossrefJones, B. D., Epler, C. M., Mokri, P., Bryant, L. H., & Paretti, M. C. (2013). The effects of a collaborative problem-based learning experience on students’ motivation in engineering capstone courses. Interdisciplinary Journal of Problem-based Learning, 7(2), 34–71. doi:10.7771/1541-5015.1344
Google Scholar CrossrefJones, B. D., Osborne, J. W., Paretti, M. C., & Matusovich, H. M., (2014). Relationships among students’ perceptions of a first-year engineering design course and their engineering identification, motivational beliefs, course effort, and academic outcomes. International Journal of Engineering Education, 30(6A), 1340–1356.
Google Scholar CrossrefJones, B. D., & Sigmon, M. L. (2016). Validation evidence for the elementary school version of the MUSIC® Model of Academic Motivation Inventory. Electronic Journal of Research in Educational Psychology, 14(1), 155–174. Retrieved from http://dx.doi.org/10.14204/ejrep.38.15081
Google Scholar CrossrefJones, B. D., & Skaggs, G. E. (2016). Measuring students’ motivation: Validity evidence for the MUSIC Model of Academic Motivation Inventory. International Journal for the Scholarship of Teaching and Learning, 10(1). Retrieved from http://digitalcommons.georgiasouthern.edu/ij-sotl/vol10/iss1/7
Google Scholar CrossrefJones, B. D., Tendhar, C., & Paretti, M. C. (2015). The effects of students’ course perceptions on their domain identification, motivational beliefs, and goals. Journal of Career Development. Advance online publication. doi:10.1177/0894845315603821
Google Scholar CrossrefJones, B. D., Watson, J. M., Rakes, L., & Akalin, S. (2012). Factors that impact students’ motivation in an online course: Using the MUSIC Model of Academic Motivation. Journal of Teaching and Learning with Technology, 1(1), 42–58.
Google Scholar CrossrefJones, B. D., & Wilkins, J. L. M. (2013). Testing the MUSIC Model of Academic Motivation through confirmatory factor analysis. Educational Psychology: An International Journal of Experimental Educational Psychology, 33(4), 482–503. doi:10.1080/01443410.2013.785044
Google Scholar CrossrefJones, B. D., & Wilkins, J. (2015, February). More validity evidence for the use of the MUSIC Model of Academic Motivation Inventory with upper-elementary and middle school students. Poster presented at the annual meeting of the Eastern Educational Research Association, Sarasota, Florida.
Google Scholar CrossrefKline, R. B. (2005). Principles and practice of structural equation modeling. New York, NY: Guilford Press.McGinley, J., & Jones, B. D. (2014). A brief instructional intervention to increase students’ motivation on the first day of class. Teaching of Psychology, 41(2), 158–162. doi:10.1177/0098628314530350
Google Scholar CrossrefLazowski, R. A., & Hulleman, C. S. (2016). Motivation interventions in education: A meta-analytic review. Review of Educational Research, 86(2), 602–640.
Google Scholar CrossrefMcGinley, J., & Jones, B. D. (2014). A brief instructional intervention to increase students’ motivation on the first day of class. Teaching of Psychology, 41(2), 158-162. doi:10.1177/0098628314530350
Google Scholar CrossrefMohamed, H. E., Soliman, M. H., & Jones, B. D. (2013). A cross-cultural validation of the MUSIC Model of Academic Motivation and its associated inventory among Egyptian university students. Journal of Counseling Quarterly Journal, 36, 2–14.
Google Scholar CrossrefParkes, K., Jones, B. D., & Wilkins, J. (2015). Assessing music students’ motivation using the MUSIC Model of Academic Motivation Inventory. UPDATE: Applications of Research in Music Education. Advance online publication. doi:10.1177/8755123315620835
Google Scholar CrossrefPlant, R. W., & Ryan, R. M. (1985). Intrinsic motivation and the effects of self-consciousness, self-awareness, and ego-involvement: An investigation of internally-controlling styles. Journal of Personality, 53(3), 435–449.
Google Scholar CrossrefSchram, A. B., (2015). Validating an Icelandic version of the MUSIC Model of Academic Motivation Inventory (Unpublished doctoral dissertation). Virginia Tech, Blacksburg, VA.
Google Scholar CrossrefShell, D. F., & Husman, J., (2008). Control, motivation, affect, and strategic self-regulation in the college classroom: A multidimensional phenomenon. Journal of Educational Psychology, 100(2), 443–459.
Google Scholar CrossrefShell, D. F., Husman, J., Turner, J. E., Cliffel, D. M., Nath, I., & Sweany, N. (2005). The impact of computer-supported collaborative learning communities on high school students' knowledge building, strategic learning, and perceptions of the classroom. Journal of Educational Computing Research, 33(3), 327–349.
Google Scholar CrossrefTabachnick, B. G., & Fidell, L. S. (1996). Using multivariate statistics (3rd ed.). New York: HarperCollins.
Google Scholar CrossrefTendhar, C. (2015). Effects of motivational beliefs and instructional practice on intention to pursue majors and careers in engineering (Unpublished doctoral dissertation). Virginia Tech, Blacksburg, VA.
Google Scholar CrossrefVillagran, M. M., & Lucke, J. F. (2005). Translating communication measures for use in non-English-speaking populations. Communication Research Reports, 22(3), 247–251.
Google Scholar CrossrefWang, M.-T., Fredricks, J. A., Ye, F., Hofkens, T. L., & Linn, J. S. (2016). The math and science engagement scales: Scale development, validation, and psychometric properties. Learning and Instruction. Advance online publication. http://dx.doi.org/10.1016/j.learninstruc.2016.01.008
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