IDEAS home Printed from https://ideas.repec.org/a/spr/soinre/v146y2019i1d10.1007_s11205-019-02071-6.html
   My bibliography  Save this article

How Do Students Evaluate Instructors’ Performance? Implication of Teaching Abilities, Physical Attractiveness and Psychological Factors

Author

Listed:
  • Sharon Tan

    (Tunku Abdul Rahman University College)

  • Evan Lau

    (Universiti Malaysia Sarawak)

  • Hiram Ting

    (UCSI University
    Sarawak Research Society)

  • Jun-Hwa Cheah

    (Universiti Putra Malaysia (UPM))

  • Biagio Simonetti

    (University of Sannio)

  • Tan Hiok Lip

    (Universiti Malaysia Sarawak)

Abstract

One instrument regularly seen as a basic resource in assessing pedagogical knowledge and vivid learning in different circumstances is through the method of conducting student assessment appraisal of their instructors. Nevertheless, deciding the nature of instructional abilities requires as rationale and unbiased judgments. The concern is that there are no formal techniques or formulas that would prompt accurate responses from the students. In spite of the contention surrounding students’ rating on instructors, this study aims to investigate how university students in Malaysia would evaluate instructors based on non-instructional factors, such as physical attractiveness and psychological factors, which in turn may affect students’ perceptions towards instructors’ performance. PLS-SEM was appropriated to perform the path modeling analysis. Practical implication is discussed.

Suggested Citation

  • Sharon Tan & Evan Lau & Hiram Ting & Jun-Hwa Cheah & Biagio Simonetti & Tan Hiok Lip, 2019. "How Do Students Evaluate Instructors’ Performance? Implication of Teaching Abilities, Physical Attractiveness and Psychological Factors," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 146(1), pages 61-76, November.
    • Handle: RePEc:spr:soinre:v:146:y:2019:i:1:d:10.1007_s11205-019-02071-6
    DOI: 10.1007/s11205-019-02071-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11205-019-02071-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11205-019-02071-6?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. Biagio Simonetti & Pasquale Sarnacchiaro & M. Rosario González Rodríguez, 2017. "Goodness of fit measures for logistic regression model: an application for students’ evaluations of university teaching," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(6), pages 2545-2554, November.
    2. Giam Pietro Cipriani & Angelo Zago, 2011. "Productivity or Discrimination? Beauty and the Exams," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 73(3), pages 428-447, June.
    3. Hamermesh, Daniel S. & Parker, Amy, 2005. "Beauty in the classroom: instructors' pulchritude and putative pedagogical productivity," Economics of Education Review, Elsevier, vol. 24(4), pages 369-376, August.
    4. M. Nitti & E. Ciavolino, 2014. "A deflated indicators approach for estimating second-order reflective models through PLS-PM: an empirical illustration," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(10), pages 2222-2239, October.
    5. Enrico Ciavolino & Maurizio Carpita, 2015. "The GME estimator for the regression model with a composite indicator as explanatory variable," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(3), pages 955-965, May.
    6. Markus M. Mobius & Tanya S. Rosenblat, 2006. "Why Beauty Matters," American Economic Review, American Economic Association, vol. 96(1), pages 222-235, March.
    7. Wynne W. Chin & Barbara L. Marcolin & Peter R. Newsted, 2003. "A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study," Information Systems Research, INFORMS, vol. 14(2), pages 189-217, June.
    8. Roland Bénabou & Jean Tirole, 2005. "Self-Confidence and Personal Motivation," International Economic Association Series, in: Bina Agarwal & Alessandro Vercelli (ed.), Psychology, Rationality and Economic Behaviour, chapter 2, pages 19-57, Palgrave Macmillan.
    9. Maria De Paola & Vincenzo Scoppa, 2015. "Gender Discrimination and Evaluators’ Gender: Evidence from Italian Academia," Economica, London School of Economics and Political Science, vol. 82(325), pages 162-188, January.
    10. Enrico Ciavolino & Maurizio Carpita & Mariangela Nitti, 2015. "High-order PLS path model with qualitative external information," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1609-1620, July.
    11. E. Ciavolino & A. Calcagnì, 2015. "Generalized cross entropy method for analysing the SERVQUAL model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(3), pages 520-534, March.
    12. Enrico Ciavolino & Mariangela Nitti, 2013. "Using the Hybrid Two-Step estimation approach for the identification of second-order latent variable models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 40(3), pages 508-526.
    13. Ponzo Michela & Scoppa Vincenzo, 2013. "Professors’ Beauty, Ability, and Teaching Evaluations in Italy," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 13(2), pages 811-835, August.
    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. Xin Xu & Yuan Zhao & Siyou Xia & Panpan Cui & Wenmin Tang & Xiaoliang Hu & Bei Wu, 2022. "Quality of Life and Its Influencing Factors Among Centenarians in Nanjing, China: A Cross-Sectional Study," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 160(2), pages 735-755, April.

    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. Jun-Hwa Cheah & Hiram Ting & T. Ramayah & Mumtaz Ali Memon & Tat-Huei Cham & Enrico Ciavolino, 2019. "A comparison of five reflective–formative estimation approaches: reconsideration and recommendations for tourism research," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(3), pages 1421-1458, May.
    2. Enrico Ciavolino & Sergio Salvatore & Piergiorgio Mossi & Gloria Lagetto, 2019. "High-order PLS path model for multi-group analysis: the prosumership service quality model," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(5), pages 2371-2384, September.
    3. Enrico Ciavolino & Gloria Lagetto & Andrea Montinari & Amjad D. Al-Nasser & Amer I. Al-Omari & Matteo J. Zaterini & Sergio Salvatore, 2020. "Customer satisfaction and service domains: a further development of PROSERV," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(5), pages 1429-1444, December.
    4. Elif S. Filiz, 2022. "Does it Payoff to be Blond in a Non-Blond Neighborhood? Eye Color, Hair Color, Ethnic Composition and Starting Wages," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 48(1), pages 122-146, January.
    5. Dilmaghani, Maryam, 2020. "Beauty perks: Physical appearance, earnings, and fringe benefits," Economics & Human Biology, Elsevier, vol. 38(C).
    6. Jay L Zagorsky, 2016. "Are Blondes Really Dumb?," Economics Bulletin, AccessEcon, vol. 36(1), pages 401-410.
    7. Maurizio Carpita & Enrico Ciavolino & Mariangela Nitti, 2019. "The MIMIC–CUB Model for the Prediction of the Economic Public Opinions in Europe," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 146(1), pages 287-305, November.
    8. Astghik Mavisakalyan, 2016. "Looks matter: Attractiveness and employment in the former soviet union," Bankwest Curtin Economics Centre Working Paper series WP1604, Bankwest Curtin Economics Centre (BCEC), Curtin Business School.
    9. Paola Pasca & Evelyn Simone & Enrico Ciavolino & Alessia Rochira & Terri Mannarini, 2023. "A higher-order model of community resilience potential: development and assessment through confirmatory composite analysis based on partial least squares," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(2), pages 1033-1054, April.
    10. Mavisakalyan, Astghik, 2018. "Do employers reward physical attractiveness in transition countries?," Economics & Human Biology, Elsevier, vol. 28(C), pages 38-52.
    11. Weilong Bi & Ho Fai Chan & Benno Torgler, 2020. "“Beauty” premium for social scientists but “unattractiveness” premium for natural scientists in the public speaking market," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-9, December.
    12. Friederike Mengel & Jan Sauermann & Ulf Zölitz, 2019. "Gender Bias in Teaching Evaluations," Journal of the European Economic Association, European Economic Association, vol. 17(2), pages 535-566.
    13. Hersch, Joni, 2011. "Skin color, physical appearance, and perceived discriminatory treatment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 40(5), pages 671-678.
    14. Craig E. Landry & Andreas Lange & John A. List & Michael K. Price & Nicholas G. Rupp, 2006. "Toward an Understanding of the Economics of Charity: Evidence from a Field Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(2), pages 747-782.
    15. Ralph Stinebrickner & Todd Stinebrickner & Paul Sullivan, 2019. "Beauty, Job Tasks, and Wages: A New Conclusion about Employer Taste-Based Discrimination," The Review of Economics and Statistics, MIT Press, vol. 101(4), pages 602-615, October.
    16. LIU Xing & SIERMINSKA Eva, 2014. "Evaluating the effect of beauty on labor market outcomes: A review of the literature," LISER Working Paper Series 2014-11, Luxembourg Institute of Socio-Economic Research (LISER).
    17. Eiji Yamamura & Ryohei Hayashi & Yoshiro Tsutsui & Fumio Ohtake, 2022. "Racers’ attractive looks, popularity, and performance: how do speedboat racers react to fans’ expectations?," The Japanese Economic Review, Springer, vol. 73(4), pages 597-623, October.
    18. GERGAUD, Olivier & GINSBURGH, Victor, 2010. "Success: talent, intelligence or beauty ?," LIDAM Discussion Papers CORE 2010072, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    19. Guéguen, Nicolas, 2012. "Hair color and wages: Waitresses with blond hair have more fun," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 41(4), pages 370-372.
    20. Peter Schwardmann & Joël van der Weele, 2016. "Deception and Self-Deception," Tinbergen Institute Discussion Papers 16-012/I, Tinbergen Institute.

    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:spr:soinre:v:146:y:2019:i:1:d:10.1007_s11205-019-02071-6. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.