================================================================== The gateway between this list and the sci.stat.edu newsgroup will be disabled on June 9. This list will be discontinued on June 21. Subscribe to the new list EDSTAT-L at Penn State using the web interface at http://lists.psu.edu/archives/edstat-l.html. ================================================================== . Hello,
I am facing a challenge that somebody else on the list might already have solved and so I decided to post. I would like to estimate the lenght of time a given user spent on the last web page viewed during an interaction with a given web site. That is, while I can quite easily compute the approximate lenght of viewing any page before the last by simply substracting the datetime stamp of the current web page from the following one, I do not know when a user left the web site. I thought I use the following procedure: => Given the X is the last page of the specific interaction between user A and web site B, I take the average page X viewing time for all users of web site B => I compute the average page viewing time for all users, that is how long on average any page of the web site is viewed => I compute the average page viewing time for user A, provided he/she has viewed at least Y pages, that is how long on average any page of the web site is viewed by user A => I compute the "speed factor" for user A as the ratio between user-specific and overall web site average page viewing time (the ratio of the prior two measures) => I compute the average viewing time for user A for that session => I compute the estimated viewing time for user A on page X as the average viewing time for user A for that session times the speed factor I am just wondering how reliable can be a procedure as this. I suspect reliability to be weak when user specific data are scarse, as well as when page X happens to be very often a web site exit page and little information about page X viewing time exists. I am also quite convinced I should use some sort of weighting to correct for high variability and low reliability of computed averages, but I am not sure which to use and how to use it. Can you provide any suggestion/references? Thank you very much in advance, Luca Mr. Luca Meyer Consumer research advisor: http://www.lucameyer.com/en/ Italian Online Research Mailing List: http://it.groups.yahoo.com/group/ior Tel: +390122854456 - Fax: +390122854837 - Mobile: + 393355217628 - One world, one human race -
