On 31 Oct 2000 11:24:44 -0800,
[EMAIL PROTECTED] (Werner W. Wittmann) wrote:
> > Herman and N.N.,
> > type III error means measuring the wrong construct or something
> > nonexistent.
> > In my German book about evaluation research(1985) I cited the
> > following:
> > "Statistician worry about two types of errors......:
> > Type I error is rejecting a hypothesis when it should be accepted; Type II
> > error is accepting a hypothesis when it should be rejected ...
> > Evaluators commonly make two types of errors doing evaluations: Type III
> > error is measuring something that does not exist; Type IV error is
> measuring
> > something that is of no interest to management and policy maker."
> > (Scanlon et al., 1977,p.36 , cit. after Dobson & Cook, 1980, p. 270 )
< snip, more citations >
For wittiness, I thought that Herman said it better,
> > This is the most common type; doing the wrong problem.
Or, better yet, Kimball, 1957: "Right answer to the wrong question."
Basically, it is a wise-crack.
So far as I know, Dobson & Cook (cited, above, in the 1970s and 1980s)
are not known to statisticians generally, for "Type III" and IV.
But, who knows? if they become standard among Evaluators, maybe their
consistency will spread.
Using Google, Kimball's is what I found most.
--
Rich Ulrich, [EMAIL PROTECTED]
http://www.pitt.edu/~wpilib/index.html
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