IDEAS home Printed from
   My bibliography  Save this paper

Statistics E-learning Platforms Evaluation: Case Study


  • Taleb Ahmad
  • Wolfgang Härdle


With the increase of e-learning by universities and educational institutes in the world through more electronic platforms, come the questions to researchers, educators and designers of electronic platforms about feasibility and using this method of learning. Are we achieving the desired goals and improving the quality of education? Are we improving their performance and ability to self-study without the need for a teacher? Is e-learning an effective and successful method from the students views? In this paper, we consider evaluate e-learning systems in statistics. We make an evaluation study, we analyze a students sample of the methods: Factor analysis, Logit model. The common aim of this evaluation is to provide data to justify the results or evidence to support that the e-learning platforms are helping the students to learn more effectively. The questionnaire covers information about e-learning evaluation criterias. Some of these criterias are: Navigability, applicability, instructional structure and interactivity.

Suggested Citation

  • Taleb Ahmad & Wolfgang Härdle, 2008. "Statistics E-learning Platforms Evaluation: Case Study," SFB 649 Discussion Papers SFB649DP2008-058, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  • Handle: RePEc:hum:wpaper:sfb649dp2008-058

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. Rinus Haaijer & Michel Wedel & Marco Vriens & Tom Wansbeek, 1998. "Utility Covariances and Context Effects in Conjoint MNP Models," Marketing Science, INFORMS, vol. 17(3), pages 236-252.
    2. Chintagunta, Pradeep K., 1999. "Measuring the effects of new brand introduction on inter-brand strategic interaction," European Journal of Operational Research, Elsevier, vol. 118(2), pages 315-331, October.
    3. Brownstone, David & Train, Kenneth, 1998. "Forecasting new product penetration with flexible substitution patterns," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 109-129, November.
    4. Huber, Joel & Puto, Christopher, 1983. " Market Boundaries and Product Choice: Illustrating Attraction and Substitution Effects," Journal of Consumer Research, Oxford University Press, vol. 10(1), pages 31-44, June.
    5. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    6. Huber, Joel & Payne, John W & Puto, Christopher, 1982. " Adding Asymmetrically Dominated Alternatives: Violations of Regularity and the Similarity Hypothesis," Journal of Consumer Research, Oxford University Press, vol. 9(1), pages 90-98, June.
    7. Pan, Yigang & Lehmann, Donald R, 1993. " The Influence of New Brand Entry on Subjective Brand Judgments," Journal of Consumer Research, Oxford University Press, vol. 20(1), pages 76-86, June.
    8. Lynch, John G, Jr & Chakravarti, Dipankar & Mitra, Anusree, 1991. " Contrast Effects in Consumer Judgments: Changes in Mental Representations or in the Anchoring of Rating Scales?," Journal of Consumer Research, Oxford University Press, vol. 18(3), pages 284-297, December.
    Full references (including those not matched with items on IDEAS)


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

    Cited by:

    1. Cezar Scarlat & Cornel Ghita & Ioana Barda-Miron & Ioana Ceausu & Cornel Chira, 2011. "Improving the Managerial Skills of Romanian University Managers by a Country-Wide E-Training Programme," MIC 2011: Managing Sustainability? Proceedings of the 12th International Conference, Portorož, 23–26 November 2011 [Selected Papers], University of Primorska, Faculty of Management Koper.
    2. Wocken, Meike & Jens-Peter, Loy, 2011. "Evaluation of eLearning - A study of Undergraduate Agricultural Economics course," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 115764, European Association of Agricultural Economists.

    More about this item


    E-learning; Evaluation; Statistical software;

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    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:hum:wpaper:sfb649dp2008-058. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (RDC-Team). General contact details of provider: .

    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.

    We have no references for this item. You can help adding them by using 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.