Correlation between Daily Page Views and View Duration: An Exploration of National Library Websites
DOI:
https://doi.org/10.17821/srels/2018/v55i5/132073Keywords:
Correlation Coefficient, National Libraries, Page View, Scatter Diagram, Website Analysis, View DurationAbstract
Generally page view and view duration help to estimate the popularity of a site they are also determining factors for estimating the extent of use of that site. This paper seeks to establish a “correlation” between the two variables, i.e. daily page views per visitor and daily time on site (view duration) of twenty five national library websites around the world to see the degree of association. A scatter diagram indicating the nature of association between these two variables is drawn. The Pearson’s Correlation Coefficient (r) is 0.744, which indicates a strong positive relation between these two variables. The pattern of scatter diagram also represents a positive correlation, which means the association between the variables is direct, indicating thereby that if the value of average page view is high then the value of daily time on site also will be high, and low values are associated with low values.Downloads
Metrics
References
Association, W. A. (2006). Web Analytics “Big Three” Definitions. Washington DC; 20037.
Avangate Home Page (1999) – How important is Alexa ranking? Available at http://www.avangate.com/articles/ alexa-ranking99.htm
Bjorneborn, L. and Ingwersen, P. (2001). Perspectives of webometrics. Scientometrics, 50, 65–82. https://doi.org/10.1023/A:1005642218907
Das, N. G. (2009). Statistical methods. New Delhi: Tata McGraw Hill Education; 269–316p. PMCid: PMC2710084.
Gelder, P. V.; Beiger, G. and Berger, M. (2011). Statistical analysis of pageviews on web sites. Acceced on 2018. Available at: https://pdfs.semanticscholar.org/9b4b/a3ceef973ffa48e5d71a93eded2c12f7add8.pdf
Goon, A. M.; Gupta, M. K. and Dasgupta, B. (1996). Basic statistics. Calcutta: World Press; 242-78p.
Rao, I. K. R. (2009). Quantitative methods for library and information science. New Delhi: New Age International; 98-113p. PMCid: PMC2797950.
support.google (2018). The difference between Google Ads Clicks, and Sessions, Users, Entrances, Pageviews, and Unique Pageviews in Analytics. Accessed on 24.8.2018. Available at: https://support.google.com/analytics/answer/1257084?hl=en a
Verma, M. K. and Brahma, K. (2017). A webometric analysis of National Libraries’ websites in South Asia. Annals of Library and Information Studies, 64(2), 116–24.
Webopedia (2018). Average time on site – Web analytics. Accessed on 24.8.2018. Available at: https://www.webopedia.com/TERM/A/average_time_on_site.html.
Wikipedia (2018). Alexa Internet. Accessed on 24.8.2018. Available at: https://en.wikipedia.org/wiki/Alexa_Internet.
Downloads
Published
How to Cite
Issue
Section
License
All the articles published in Journal of Information and Knowledge are held by the Publisher. Sarada Ranganathan Endowment for Library Science (SRELS), as a publisher requires its authors to transfer the copyright prior to publication. This will permit SRELS to reproduce, publish, distribute and archive the article in print and electronic form and also to defend against any improper use of the article.
Accepted 2018-10-22
Published 2018-10-13