- From: Detlev Fischer <fischer@dias.de>
- Date: Thu, 24 Jan 2013 17:22:59 +0100
- To: EVAL TF <public-wai-evaltf@w3.org>
The assumption has been that an additional random sample will make sure that a tester's intitial sampling of pages has not left out pages that may expose problems no present in the intitial sample. That aim in itself is laudable, but for this to work, the sampling would need to be 1. independent of individual tester choices (i.e., automatic) - which would need a definition, inside the methodology, of a valid approach for truly random sampling. No one has even hinted on a reliable way to do that - I believe there is none. A mere calculaton of sample size for a desired level of confidence would need to be based to the total number of a site's pages *and* page states - a number that will usually be unknown. 2. Fairly represent not just pages, but also page states. But crawling a site to derive a collection of URLS for random sampling is not doable since many states (and there URLs or DOM states) only come about as a result of human input. I hope I am not coming across as a pest if I say again that in my opinion, we are shooting ourselves in the foot if we make random sampling a mandatory part of the WCAG-EM. Academics will be happy, practitioners working to a budget will just stay away from it. Detlev -- --------------------------------------------------------------- Detlev Fischer PhD DIAS GmbH - Daten, Informationssysteme und Analysen im Sozialen Geschäftsführung: Thomas Lilienthal, Michael Zapp Telefon: +49-40-43 18 75-25 Mobile: +49-157 7-170 73 84 Fax: +49-40-43 18 75-19 E-Mail: fischer@dias.de Anschrift: Schulterblatt 36, D-20357 Hamburg Amtsgericht Hamburg HRB 58 167 Geschäftsführer: Thomas Lilienthal, Michael Zapp ---------------------------------------------------------------
Received on Thursday, 24 January 2013 16:23:24 UTC