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Research Articles

Students as ‘Customers’: unmasking course experience and satisfaction of undergraduate students at a Malaysian Research University

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References

  • Al-Harthi, A.S. (2005). Distance higher education experiences of Arab Gulf students in the United States: A cultural perspective. The International Review of Research in Open and Distance Learning, 6(3), 1–14.
  • Altbach, P.G. (2013). Advancing the national and global knowledge economy: The role of research universities in developing countries. Studies in Higher Education, 38(3), 316–330.
  • Awang, A.H., Hussain, M.Y., Ramli, Z., & Ibrahim, I. (2013). Kualiti dan prestasi kerja graduan kolej komuniti: Penilaian oleh majikan bandar (Quality and job performance of community college graduates: Assessment by urban employers). Akademika, 83(1), 65–76.
  • Basow, S.A., Phelan, J.E., & Capotosto, L. (2006). Gender patterns in college students’ choices of their best and worst professors. Psychology of Women Quarterly, 30(1), 25–35.
  • Bigne, E., Moliner, M.A., & Sanchez, J. (2003). Perceived quality and satisfaction in multiservice organisations: The case of Spanish public services. Journal of Services Marketing, 17(4), 420–442.
  • Blum, K.D. (1999). Gender differences in asynchronous learning in higher education: Learning styles, participation barriers and communication patterns. Journal of Asynchronous Learning Networks, 3(1), 46–66.
  • Buultjens, M., & Robinson, P. (2011). Enhancing aspects of the higher education student experience. Journal of Higher Education Policy and Management, 33(4), 337–346.
  • Byrne, M., & Flood, B. (2003). Assessing the teaching quality of accounting programmes: An evaluation of the course experience questionnaire. Assessment and Evaluation in Higher Education, 28(2), 135–145.
  • Chakrabraty, A.K., Richardson, J.T.E., & Sen, M.K. (2016). Validating the course experience questionnaire in West Bengal higher education. Studies in Educational Evaluation, 50, 71–78.
  • Chang, D.W., Sirat, M., & Abdul Razak, Z. (Eds.). (2019). Higher education in Malaysia: A critical review of the past and present for the future. Pulau Pinang: Penerbit Universiti Sains Malaysia.
  • Chapman, K. (1996). An analysis of degree results in geography by gender. Assessment and Evaluation in Higher Education, 21(4), 293–313.
  • Chin, W.W., & Dibbern, J. (2010). A permutation based procedure for multi-group PLS analysis: Results of tests of differences on simulated data and a cross cultural analysis of the sourcing of information system services between Germany and the USA. In V. Esposito Vinzi, W.W. Chin, J. Henseler, & H. Wang (Eds.), Handbook of partial least squares: Concepts, methods and applications (pp. 171–193). Heidelberg, Germany: Springer-Verlag.
  • Cohen, J.A. (1992). A power primer. Psychological Bulletin, 112(1), 155–159.
  • Diamantopoulos, A., & Siguaw, J.A. (2006). Formative versus reflective indicators in organizational measure development: A comparison and empirical illustration. British Journal of Management, 17(4), 263–282.
  • Diseth, A., Pallesen, S., Hovland, A., & Larsen, S. (2006). Course experience, approaches to learning and academic achievement. Education and Training, 48(2/3), 156–169.
  • Douglas, J., Douglas, A., & Barnes, B. (2006). Measuring student satisfaction at a UK university. Quality Assurance in Education, 14(3), 251–267.
  • Douglas, J.A., Douglas, A., McClelland, R.J., & Davies, J. (2015). Understanding student satisfaction and dissatisfaction: An interpretive study in the UK higher education context. Studies in Higher Education, 40(2), 329–349.
  • Duque, L.C. (2014). A framework for analysing higher education performance: Students’ satisfaction, perceived learning outcomes, and dropout intentions. Total Quality Management and Business Excellence, 25(1–21), (1–2).
  • Elliot, K.M., & Shin, D. (2002). Student satisfaction: An alternative approach to assessing this important concept. Journal of Higher Education Policy and Management, 24(2), 197–209.
  • Faul, F., Erdfelder, E., Buchner, A., & Lang, A.-G. (2009). Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behavior Research Methods, 41(4), 1149–1160. doi:10.3758/BRM.41.4.1149
  • Fornell, C., & Larcker, D.F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18, 39–50.
  • Ginns, P., Prosser, M., & Barrie, S. (2007). Students’ perceptions of teaching quality in higher education: The perspective of currently enrolled students. Studies in Higher Education, 32(5), 603–615. doi:10.1080/03075070701573773
  • Gold, A.H., Malhorta, A., & Segars, A.H. (2001). Knowledge management: An organizational capabilities perspective. Journal of Management, 18(1), 185–214.
  • Grace, D., Weaven, S., Bodey, K., Ross, K., & Weaven, K. (2012). Putting student evaluations into perspective: The course experience quality and satisfaction model (CEQS). Studies in Educational Evaluation, 38(2), 35–43.
  • Grebennikov, L., & Skaines, I. (2009). Gender and higher education experience: A case study. Higher Education Research and Development, 28(1), 71–84.
  • Green, H.J., Hood, M., & Neurmann, D.L. (2015). Predictors of student satisfaction with university psychology courses: A review. Psychology Learning and Teaching, 14(20), 131–146.
  • Griffin, P., Coates, H., McInnis, C., & James, R. (2003). The development of an extended course experience questionnaire. Quality in Higher Education, 9(3), 259–266.
  • Griffioen, D.M.E., Doppenberg, J.J., & Oostdam, R.J. (2018). Are more able students in higher education less easy to satisfy? Higher Education, 75(5), 891–907. doi:10.1007/s10734-017-0176-3
  • Hair, J.F., Jr., Hult, G.T.M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Thousand Oaks, CA: Sage.
  • Henseler, J. (2018). Partial least squares path modeling: Quo vadis? Quality & Quantity, 52(1), 1–8. doi:10.1007/s11135-018-0689-6
  • Henseler, J., Ringle, C., & Sarstedt, M. (2016). Testing measurement invariance of composites using partial least squares. International Marketing Review, 33(3), 405–431.
  • Henseler, J., Ringle, C., & Sinkovics, R.R. (2009). The use of partial least squares path modeling in international marketing. In R.R. Sinkovics & P.N. Ghauri (Eds.), Advances in international marketing (Vol. 20, pp. 277–320). Bingley, UK: Emerald.
  • Henseler, J., Ringle, C.M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135.
  • Huybers, T. (2017). Exploring the use of best-worst scaling to elicit course experience questionnaire responses. Assessment & Evaluation in Higher Education, 42(8), 1306–1318.
  • Kline, R.B. (2011). Principles and practice of structural equation modeling. New York: Guilford Press.
  • Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of e-Collaboration, 11(4), 1–10. doi:10.4018/ijec.2015100101
  • Kock, N., & Lynn, G. (2012). Lateral collinearity and misleading results in variance-based SEM: An illustration and recommendations. Journal of the Association for Information Systems, 13(7), 546–580.
  • Kreber, C. (2003). The relationship between students’ course perception and their approaches to studying in undergraduate science courses: A Canadian experience. Higher Education Research and Development, 22(1), 57–75.
  • Law, D.C.S., & Meyer, J.H.F. (2011). Adaptation and validation of the course experience questionnaire in the context of post-secondary education in Hong Kong. Quality Assurance in Education, 19(1), 50–66.
  • Lee, M.N.N. (2018). Assessment of research, development, and innovation in Malaysia. In D.W. Chang, M. Sirat, & D.A. Razak (Eds.), Higher education in Malaysia: A critical review of the past and present for the future (pp. 95–111). Pulau Pinang: Penerbit Universiti Sains Malaysia.
  • Letcher, D.W., & Neves, J.S. (2010). Determinants of undergraduate business student satisfaction. Research in Higher Education Journal, 6(1), 1–26.
  • Lizzio, A., Wilson, K., & Simons, R. (2002). University students’ perceptions of the learning environment and academic outcomes: Implications for theory and practice. Studies in Higher Education, 27(1), 27–52.
  • Malouff, J.M., Hall, L., Schutte, S.N., & Rooke, E.S. (2010). Use of motivational teaching techniques and psychology student satisfaction. Psychology Learning and Teaching, 9(1), 39–44.
  • Marsh, H.W., Ginns, P., Morin, A.J.S., Nagengast, B., & Martin, A.J. (2011). Use of student ratings to benchmark universities: Multilevel modeling of responses to the Australian course experience questionnaire (CEQ). Journal of Educational Psychology, 103(3), 733–748.
  • Nevill, A., & Rhodes, C. (2004). Academic and social integration in higher education: A survey of satisfaction and dissatisfaction within a first-year education studies cohort at a new university. Journal of Further and Higher Education, 28(2), 179–193.
  • Osbourne, J.W. (2001). Testing stereotyping threat: Does anxiety explain race and sex differences in achievement? Contemporary Educational Psychology, 26(3), 291–310.
  • Ramsden, P. (1991). A performance indicator of teaching quality in higher education: The course experience questionnaire. Studies in Higher Education, 16(2), 129–150.
  • Reinartz, W., Haenlein, M., & Henseler, J. (2009). An empirical comparison of the efficacy of covariance-based and variance-based SEM. International Journal of Research in Marketing, 26(4), 332–344.
  • Richardson, J.T.E. (2005). Instruments for obtaining student feedback: A review of the literature. Assessment and Evaluation in Higher Education, 30(4), 387–415.
  • Richardson, J.T.E., Slater, J.B., & Wilson, J. (2007). The national student survey: Development, findings and implications. Studies in Higher Education, 32(5), 557–580.
  • Ringle, C.M., Wende, S., & Becker, J.-M. (2015). SmartPLS 3. Boenningstedt: SmartPLS GmbH. Retrieved from http://www.smartpls.com
  • Sarstedt, M., Henseler, J., & Ringle, C. (2011). Multigroup analysis in partial least squares (PLS) path modeling: Alternative methods and empirical results. Advances in International Marketing, 22, 195–218.
  • Sarstedt, M., Ringle, C.M., Cheah, J., Ting, H., Moisescu, O.I., & Radomir, L. (2019). Structural model robustness checks in PLS-SEM. Tourism Economics, 1–24. doi:10.1177/1354816618823921
  • Shmueli, G., Ray, S., Velasquez Estrada, J.M., & Chatla, S.B. (2016). The elephant in the room: Predictive performance of PLS models. Journal of Business Research, 69(10), 4552–4564. doi:10.1016/j.jbusres.2016.03.049
  • Smith, F. (2004). ‘It’s not all about grades’: Accounting for gendered degree results in geography at Brunel University. Journal of Geography in Higher Education, 28(2), 167–178.
  • Spooren, P., Mortelmans, D., & Denekens, J. (2007). Student evaluation of teaching quality in higher education: Development of an instrument based on 10 Likert-scales. Assessment & Evaluation in Higher Education, 32(6), 667–679.
  • Thien, L.M., & Ong, M.Y. (2016). The applicability of course experience questionnaire for a Malaysian university context. Quality Assurance in Education, 24(1), 41–55.
  • Ullah, R., Richardson, J.T.E., & Hafeez, M. (2011). Approaches to studying and perceptions of the academic environment among university students in Pakistan. Compare: A Journal of Comparative and International Education, 41(1), 113–127.
  • Webster, B.J., Chan, W.S., Prosser, M.T., & Watkins, D. (2009). Undergraduates’ learning experience and learning process: Quantitative evidence from the East. Higher Education, 58(3), 375–386.
  • Wilson, K.L., Lizzio, A., & Ramsden, P. (1997). The development, validation and application of the course experience questionnaire. Studies in Higher Education, 22(1), 33–53.
  • Win, R., & Miller, P.W. (2005). The effects of individual and school factors on university students’ academic performance. Australian Economic Review, 38(1), 1–18.
  • Woodfield, R., Jessop, D., & Mcmillan, L. (2006). Gender differences in undergraduate attendance rates. Studies in Higher Education, 31(1), 1–22.
  • Yin, H., González, C., & Huang, S. (2018). Undergraduate students’ approaches to studying and perceptions of learning context: A comparison between China and Chile. Higher Education Research and Development, 37(7), 1530–1544. doi:10.1080/07294360.2018.1494142
  • Yin, H., Lu, G., & Wang, W. (2014). Unmasking the teaching quality of higher education: Students’ course experience and approaches to learning in China. Assessment and Evaluation in Higher Education, 39(8), 949–970. doi:10.1080/02602938.2014.880107
  • Yin, H., & Wang, W. (2015). Assessing and improving the quality of undergraduate teaching in China: The Course Experience Questionnaire. Assessment & Evaluation in Higher Education, 40(8), 1032–1049.
  • Yin, H., Wong, W., & Han, J. (2016). Chinese undergraduates’ perceptions of teaching quality and the effects on approaches and course satisfaction. Higher Education, 71(1), 39–57.

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