On 29 Nov 2000 15:38:58 -0800, [EMAIL PROTECTED] (Donald Burrill)
wrote:
> On Wed, 29 Nov 2000, Kathryn, alias <[EMAIL PROTECTED]>, wrote:
>
> > Hi there, I am a student conducting an experiment about the McGurk Effect
> > (where when a word is seen spoken while a different word is heard through
> > headphones, the perceived word is an integration of the two). I am hoping
> > to cue either the auditory word or the visual word before presenting the
> > video and sound to see if that makes the word more detectable.
> >
> > My problem is that I will have to ask participants to select which word they
> > hear from a choice of 3 - the auditory word, the visual word, and the McGurk
> > integration. This therefore constitutes nominal data.
>
> Non sequitur. The choice of words is nominal, indeed; whether your DATA
> are nominal is another matter entirely. Supposing your sample size is
> reasonablylarge, your DATA might comprise the proportion of respondents
> who chose A, the proportion who chose V, and the proportion who chose
> McGurk. That's three dependent variables, which can be viewed as
> interval scale for large enough N (and can be treated by logistic
> regression for whatever N), and for which you are interested in finding
> out whether the proportion in each case is a function of your cuing
> procedures.
>
- but one problem was, Each subject has numerous responses.
An obvious answer is that each subject can be given one score across
several responses. For the purpose of the experiment, each single
response might be McGurk or anti-McGurk, and the person's summary
score would be the difference.
You can test McG vs anti McG as a one-sample t-test against zero, or
you report the two scores and perform the exact equivalent as a paired
t-test.
Literature in your own area ought to give you examples that honor
these principles:
- IF you are going to generalize across Subjects, then the safe and
wise first step is to generate one or more scores for each subject.
- IF there are multiple tests, then each Subject's scores will
probably be continuous, so you aren't looking at a contingency table
in the test across subjects.
--
Rich Ulrich, [EMAIL PROTECTED]
http://www.pitt.edu/~wpilib/index.html
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