Dear Michael (and others)
The comments in Allstat concerning the gulf between statisticians and
programmers to my mind seem to parallel the gulf between those who do
website construction/design and those who do research within the context of
psychological/sociological models. My thought is that we need to bridge
these gaps if we are to explain website phenomena such as "usability" and
"trustworthiness" (as opposed to applying 'rule of thumb' heuristics).
I am considering stitching together a research oriented course aimed at
aspirant web designers that would bridge this gap. I was primarily thinking
of using a mixture of categorical/ordinal procedures (e.g., identify likely
features and examine association between their presence and rated
usability/trustworthiness/etc of websites; Likert scale surveys where users
rate selected websites) as a starting point, followed by identification of
psychological/sociological models consistent with outcomes that can then
are used as basis for predicting and testing phenomena related to websites.
I wondered if any of you might be willing to help me to focus my thoughts
on this topic by outlining the statistical procedures/research methods you
might apply (or have applied) in an examination of the design and use of
websites.
Regards
Peter G.
At 04:33 PM 10/19/99 +0100, you wrote:
>> Looks like I missed something during my statistics degrees. Maybe I slept
>> during the lectures.
>> Barry Quinn.
>
>Well, the technology is reasonably standard but where's the statistical
>content?
>Sounds like they are looking for straight programmers, I don't fancy their
>chances
>of getting people who both statistically literate (to the extent of knowing
>customer profiling
>techniques /direct mail etc) and who also know the technology. Also no
>mention of perl -
>you can't live without it.
>
>---
>Michael Quill,
>Statistical Analyst,
>Demon Internet Ltd;
>[log in to unmask]
>
>
>
Dr Peter Grimbeek
Faculty of Education
Griffith University
Brisbane Queensland Australia 4111
tel. 61-7-3875 5629
fax: 61-7-3875 5910
email: [log in to unmask]
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