I agree that they are separate concepts however they are not completely
independent. There are times when it makes perfect sense to combine a
number of discrete measurements into continuous data. An example would be
to count the number of correct responses on a multiple choice exam. While
each response was discrete (i.e right or wrong) it makes sense to count
them up & report an "average" number of correct responses. However, it
makes to sense to look at the number of people who chose A, B, C, & D for
a particular question and then report the "average" response to the
question was "B.2". In the Holland study I feel that the data are more
like the latter scenario. Had there been repeated measures I might be more
willing to accept that Ss sat 2.2 seats away, but with only one trial I
still think that a non parametric analysis would have been better.

-Don.

Christopher Green said:
> It seems to me that a couple of people at least are confusing "levels of
>  measurement" with the question of discrete/continuous data. They are
> quite distinct concepts. It is perfectly possible to have a discrete but
>  interval (or even ratio) scale. Number of chairs (per se) would, in
> fact, seem to be a fine example. If you doubt this, consider if you
> wanted to measure, say, the popularity of a various performer by
> measuring the number of people who attended their concert (where the
> typical value would be in thousands, even tens of thousands, rather than
>  just 1-4). Wouldn't it be reasonable to say that (other things being
> equal) a performer who draws 10,000 people is twice as popular as one
> who draws 5,000 people? If you think yes, then you believe in discrete
> ratio variables. If you are tempted to say no on account of some
> presumed methodlogical flaw, then you probably didn't understand the
> meaning of my parenthetical insertion of "other things being equal." If
> you say no on the basis of some other (non-methodological) grounds, then
>  I'd be interested to hear them.
> Regards,
> Christopher Green
> ==================Shearon, Tim wrote:
>
>>Hmmm- We all know what zero chairs would be but does this meet the
>> requirement of a true interval scale- barely. Integer differences which
>> are translated into not possible interpolations (what is .387 chair
>> corresponding to?). That's a problem. EXTREME restriction of range (not
>> just restriction) is a real problem. Independence? I see lots of
>> problems with the assumptions of ANOVA on this one. I think the use of
>> non-parametric statistics is required. Perhaps some areas use the "opt
>> outs" of Monte Carlo studies and robustness of the ANOVA etc. to get
>> beyond reason here. But remember these are usually relying on the
>> presence of large numbers whereas this study seems to rely on rather
>> small ones. These small numbers are also, as Stephen and others have
>> pointed out, include some VERY plausible selective attrition from the
>> experimental but not the (oddly) combined control conditions. All in
>> all this should not have been reported in this form. As others have
>> shown there IS NO STATISTICALLY SIGNIFICANT effect there unless you
>> blatantly manipulate these two control conditions into one. As a
>> reviewer I could never approve of such and I'd certainly return any
>> paper to a student an require the correction of the statistics. Maybe
>> this could pass muster as a "thoughtful" early result but this is ONE
>> study coming after a great deal of research and a large number of
>> studies trying to find support for this effect. And as others have
>> pointed out such results are highly likely to be transient. Perhaps,
>> and I am really reaching here, there is enough suggestion to continue
>> for long term study of the effects of extended education. But I'd
>> certainly never approve funding for anything based on such
>> manipulations and over-cooking of a very small difference. (Anyone gone
>> to the trouble to look at the effect size here- it is easy to compute
>> and quite informative. Why didn't any of the reviewers go to the
>> trouble to do that I wonder- Is it that they already believe in the
>> effect? Makes me wonder anyway.). :) Tim Shearon
>>
>>      -----Original Message-----
>>      From: Wallace Dixon [mailto:[EMAIL PROTECTED]
>>      Sent: Mon 8/23/2004 11:26 AM
>>      To: Teaching in the Psychological Sciences
>>      Cc:
>>      Subject: Re: First Solid Evidence that the Study of Music Promotes
>> Intellectual Development
>>
>>
>>
>>      Don,
>>          You lost me on this one.  How is it NOT interval, even ratio,
>> data?  I
>>      can see it would be easy enough to have qualms about restriction in
>> range, etc., or even qualms about using NHST at all, but I don't get
>> how distance in "seats away" isn't ratio?  Sorry for being so dense.
>>
>>      Wally Dixon
>>
>>
>>
>>
>>      On 8/23/04 1:12 PM, "Don  Allen" <[EMAIL PROTECTED]> wrote:
>>
>>      > I quite agree, and I wish it were the only lapse in APS editing. In
>> Holland et al. "Don't Stand So Close to Me: The Effects of
>> Self-Construal on Interpersonal Closeness" ( Psychological Science
>> Volume 15 Issue 4 Page 237  - April 2004 ). They report the
>> following methodology:
>>      >
>>      > "After completing the lexical decision task, the participants were
>> asked to take a seat in a waiting area, ostensibly to give the
>> experimenter some time to prepare the second part of the experiment.
>> Four chairs were lined up in the waiting area, with a jacket hanging
>> over the chair on the extreme left. This jacket suggested the
>> presence of another person (Macrae & Johnston, 1998). The dependent
>> variable was the distance, *** in number of chairs, *** (my
>> emphasis) between the chair with the jacket on it and the chair that
>> the participant chose to sit on."
>>      >
>>      > They then analyse the data as follows:
>>      >
>>      > "To examine the effects of self-construal and gender, we performed a
>> 2 (self-construal: independent vs. control)2 (gender: female vs.
>> male) between-subjects analysis of variance on the distance between
>> the participant's chair and the occupied chair. As expected,
>> participants in the independent-self condition sat further away
>> (M=2.07) than participants in the control condition (M=1.66), F(1,
>> 73)=8.57, p<.01. 1 No main effect of gender was obtained. Also, no
>> interaction effect was found."
>>      >
>>      > Now I have a hard time accepting that "number of chairs" is interval
>> data. A non parametric analysis would have been far more
>> appropriate.  Editorial rigour just ain't what it used to be.
>>      >
>>      > -Don.
>>      >
>>      >
>>      >
>>      > Stephen Black said:
>>      >>> Ronald C. Blue wrote:
>>      >>>
>>      >>>> http://www.psychologicalscience.org/media/releases/2004/pr040819.cfm
>>      >>> First Solid Evidence that the Study of Music Promotes Intellectual
>> Development
>>      >>
>>      >> and Chris Greeen commented:
>>      >>
>>      >>> Now none of this is out and out "wrong,"
>>      >>
>>      >> Oh, it's wrong all right. See earlier exchanges on this "solid
>> evidence", between Ken Steele and me, for example, at
>>      >>  http://www.mail-archive.com/[EMAIL PROTECTED]/msg10749.html
>>      >>
>>      >> Stephen
>>      >>
>>      >> ___________________________________________________
>>      >> Stephen L. Black, Ph.D.            tel:  (819) 822-9600 ext 2470
>> Department of Psychology         fax:  (819) 822-9661
>>      >> Bishop's  University              e-mail: [EMAIL PROTECTED]
>>      >> Lennoxville, QC  J1M 1Z7
>>      >> Canada
>>      >>
>>      >> Dept web page at http://www.ubishops.ca/ccc/div/soc/psy
>>      >> TIPS discussion list for psychology teachers at
>>      >>  http://faculty.frostburg.edu/psyc/southerly/tips/index.htm
>>      >> _______________________________________________
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>>      Chair and Associate Professor      |     Understanding atomic physics
>> is
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>> East Tennessee State University    |       -Albert Einstein
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