Abstract
Many web sites are designed and established without sufficient professional skills and resources. The quality of these websites is often dubious. Therefore, how to evaluate the quality of a web site has become an important issue. In this work, the stepwise regression method is applied to assess the ranking of web sites for two different categories. The ranking is based on the average number of visits per day. A total of fourteen factors frequently found in the literature are considered as independent variables in developing the model. The regression analysis result shows that the regression models differ for two different categories of web sites, but there are three variables common to the two resulting models, Latest update, Broken links, and Help features. The average prediction accuracies of both models exceed 75
Chapter PDF
References
Huizingh, E.K.R.E.: The content and design of web sitesan empirical study. Information & Management 37, 123–134 (2000)
Ivory, M.Y., Sinha, R.R., Hearst, M.A.: Empirically Validated Web Page Design Metrics. In: Proc. Conf. Human Factors in Computing Systems, March 2001, vol. 1, pp. 53–60. ACM Press, New York (2001)
Katerattanakul, P., Siau, S.: Measuring information quality of web sites: development of an instrument. In: Proceeding of the 20th international conference on Information Systems, January 1999, pp. 279–285 (1999)
Lin, J.C., Lu, H.: Towards an understanding of the behavioral intention to use a web site. International Journal of Information and management 20, 197–208 (2000)
McMurdo, G.: Evaluation web information and design. Journal of Information Science 24(3), 192–204 (1998)
Olsina, L., Godoy, D., Lafuente, G.J., Rossi, G.: Quality Characteristics and Attributes for Academic Web Sites. In: Proc. Of Web Engineering Workshop at WWW8, Toronto, Canada (1999)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yeh, D., Sun, PC., Lee, JW. (2004). A Linear Regression Model for Assessing the Ranking of Web Sites Based on Number of Visits. In: Koch, N., Fraternali, P., Wirsing, M. (eds) Web Engineering. ICWE 2004. Lecture Notes in Computer Science, vol 3140. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27834-4_6
Download citation
DOI: https://doi.org/10.1007/978-3-540-27834-4_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22511-9
Online ISBN: 978-3-540-27834-4
eBook Packages: Springer Book Archive