IDEAS home Printed from https://ideas.repec.org/a/eee/eejocm/v17y2015icp52-65.html
   My bibliography  Save this article

What determines student satisfaction with university subjects? A choice-based approach

Author

Listed:
  • Huybers, Twan
  • Louviere, Jordan
  • Islam, Towhidul

Abstract

In this paper, we report on a study of student satisfaction with university subjects and teaching. Quantitative analysis of student perceptions of university subjects traditionally has been based on instruments containing a list of items (statements) to which students respond in an item-by-item manner using Likert-type rating scales. The main purpose of this paper is methodological: we propose and apply a novel application of a discrete choice experiment (DCE) to evaluate and measure the individual contributions of various subject and teaching attributes on student satisfaction with higher education teaching experiences. We are not proposing the use of a DCE approach as an alternative to regular classroom evaluation exercises. Rather, we see the approach as complementary, especially because DCEs are an attempt to deal with rating scale related issues such as response styles and inter-item correlation. A representative Australia-wide sample of university students completed an evaluation ratings task (the “instrument”) and/or an evaluation DCE task (the “experiment”). Our results compare the findings of the instrument and experiment model estimations in terms of their ability to identify the relative importance of various evaluation items that drive student satisfaction. We also use a latent class analysis to explore differences in effects for sub-groups of students.

Suggested Citation

  • Huybers, Twan & Louviere, Jordan & Islam, Towhidul, 2015. "What determines student satisfaction with university subjects? A choice-based approach," Journal of choice modelling, Elsevier, vol. 17(C), pages 52-65.
  • Handle: RePEc:eee:eejocm:v:17:y:2015:i:c:p:52-65
    DOI: 10.1016/j.jocm.2015.10.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1755534515300907
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jocm.2015.10.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Islam, Towhidul, 2014. "Household level innovation diffusion model of photo-voltaic (PV) solar cells from stated preference data," Energy Policy, Elsevier, vol. 65(C), pages 340-350.
    2. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D. With contributions by-Name:Adamowicz,Wiktor, 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304, October.
    3. Hensher, David A. & Greene, William H., 2002. "Specification and estimation of the nested logit model: alternative normalisations," Transportation Research Part B: Methodological, Elsevier, vol. 36(1), pages 1-17, January.
    4. Paul Isely & Harinder Singh, 2005. "Do Higher Grades Lead to Favorable Student Evaluations?," The Journal of Economic Education, Taylor & Francis Journals, vol. 36(1), pages 29-42, January.
    5. Sproule, Robert, 2002. "The underdetermination of instructor performance by data from the student evaluation of teaching," Economics of Education Review, Elsevier, vol. 21(3), pages 287-294, June.
    6. Daniel McFadden, 1977. "Quantitative Methods for Analyzing Travel Behaviour of Individuals: Some Recent Developments," Cowles Foundation Discussion Papers 474, Cowles Foundation for Research in Economics, Yale University.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Anita Kéri & Erzsébet Hetesi, 2022. "Is it only the university they are satisfied with? – Foreign student satisfaction and its effect on loyalty," International Review on Public and Nonprofit Marketing, Springer;International Association of Public and Non-Profit Marketing, vol. 19(3), pages 601-622, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Woo, JongRoul & Moon, Sungho & Choi, Hyunhong, 2022. "Economic value and acceptability of advanced solar power systems for multi-unit residential buildings: The case of South Korea," Applied Energy, Elsevier, vol. 324(C).
    2. Rinaldo Brau & Matteo Lippi Bruni, 2008. "Eliciting the demand for long‐term care coverage: a discrete choice modelling analysis," Health Economics, John Wiley & Sons, Ltd., vol. 17(3), pages 411-433, March.
    3. Lim, Sesil & Huh, Sung-Yoon & Shin, Jungwoo & Lee, Jongsu & Lee, Yong-Gil, 2019. "Enhancing public acceptance of renewable heat obligation policies in South Korea: Consumer preferences and policy implications," Energy Economics, Elsevier, vol. 81(C), pages 1167-1177.
    4. Bliemer, Michiel C.J. & Rose, John M. & Hensher, David A., 2009. "Efficient stated choice experiments for estimating nested logit models," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 19-35, January.
    5. Rieger, Matthias & Voorvelt, Katherine, 2016. "Gender, ethnicity and teaching evaluations: Evidence from mixed teaching teamsAuthor-Name: Wagner, Natascha," Economics of Education Review, Elsevier, vol. 54(C), pages 79-94.
    6. Junyi Shen & Yusuke Sakata & Yoshizo Hashimoto, 2006. "A Comparison between Latent Class Model and Mixed Logit Model for Transport Mode Choice: Evidences from Two Datasets of Japan," Discussion Papers in Economics and Business 06-05, Osaka University, Graduate School of Economics.
    7. Petrovich, Beatrice & Hille, Stefanie Lena & Wüstenhagen, Rolf, 2019. "Beauty and the budget: A segmentation of residential solar adopters," Ecological Economics, Elsevier, vol. 164(C), pages 1-1.
    8. Rajeev Kohli & Kamel Jedidi, 2017. "Relation Between EBA and Nested Logit Models," Operations Research, INFORMS, vol. 65(3), pages 621-634, June.
    9. Orsi, Francesco & Geneletti, Davide, 2014. "Assessing the effects of access policies on travel mode choices in an Alpine tourist destination," Journal of Transport Geography, Elsevier, vol. 39(C), pages 21-35.
    10. Kitano, Shinichi & Yamamoto, Naotoshi, 2021. "Prosocial fish consumption and implications for labeling policy," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 90(C).
    11. Roberto Basile & Davide Castellani, 2003. "Location Choices of Multinational Firms in Europe: the Role of National Bourdaries and EU Policy," Development Working Papers 183, Centro Studi Luca d'Agliano, University of Milano.
    12. Kalouptsidis, N. & Koutroumbas, K. & Psaraki, V., 2007. "Classification methods for random utility models with i.i.d. disturbances under the most probable alternative rule," European Journal of Operational Research, Elsevier, vol. 176(3), pages 1778-1794, February.
    13. Jean Peyhardi, 2020. "Robustness of Student link function in multinomial choice models," Post-Print hal-03227808, HAL.
    14. Siliang Luan & Qingfang Yang & Zhongtai Jiang & Huxing Zhou & Fanyun Meng, 2022. "Analyzing Commute Mode Choice Using the LCNL Model in the Post-COVID-19 Era: Evidence from China," IJERPH, MDPI, vol. 19(9), pages 1-26, April.
    15. Peyhardi, Dr Jean, 2020. "Robustness of Student link function in multinomial choice models," Journal of choice modelling, Elsevier, vol. 36(C).
    16. Ma, Chunbo & Burton, Michael P., 2013. "A Nested Logit Model of Green Electricity Consumption in Western Australia," Working Papers 148411, University of Western Australia, School of Agricultural and Resource Economics.
    17. Meyerhoff, Jürgen & Liebe, Ulf & Hartje, Volkmar, 2009. "Benefits of biodiversity enhancement of nature-oriented silviculture: Evidence from two choice experiments in Germany," Journal of Forest Economics, Elsevier, vol. 15(1-2), pages 37-58, January.
    18. Wagner, N. & Rieger, M. & Voorvelt, K.J., 2016. "Gender, ethnicity and teaching evaluations : Evidence from mixed teaching teams," ISS Working Papers - General Series 617, International Institute of Social Studies of Erasmus University Rotterdam (ISS), The Hague.
    19. Nobuyuki Ito & Kenji Takeuchi & Shunsuke Managi, 2012. "Willingness to pay for the infrastructure investments for alternative fuel vehicles," Discussion Papers 1207, Graduate School of Economics, Kobe University.
    20. Radchenko, Natalia, 2020. "Biases in Student Evaluations of Teaching: An American Case Study," IZA Discussion Papers 13603, Institute of Labor Economics (IZA).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:eejocm:v:17:y:2015:i:c:p:52-65. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/journal-of-choice-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.