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Re: Experiments with large N
Huge samples are very nice if you can get 'em, though such is not always
the case, alas.
So one thing that I would like to see from people who do have gigantic N
is to do some analyses to determine at what point the data reach some
asymptote. In other words, if you've collected 1,000,000 people, at what
earlier point in your sampling could you have stopped, and come to the
identical conclusions with valid statistics?
Obviously, the answer to this question will be different for different
types of studies with different types of variance and so forth. But
having the large N allows one to perform this calculation, so that next
time one does a similar study, one could reasonably stop after reaching
a smaller and more manageable sample size.
Has anybody already done this for those large samples that were recently
discussed? It would be really helpful for those who cannot always
collect such samples.
Robert J. Zatorre, Ph.D.
Montreal Neurological Institute
3801 University St.
Montreal, QC Canada H3A 2B4
web site: www.zlab.mcgill.ca
Malcolm Slaney wrote:
This music paper has 380k subjects :-)
While Ben Marlin collected another 30k subjects for this
The underlying data for both papers is available for academic
researchers (fully anonymized, both by song and by user). Send me email
if you want more information.
On Dec 1, 2007, at 5:43 PM, Matt Wright wrote:
Trevor Cox recently published the results of an online experiment
about listeners' ratings of sound files on a six-point scale ("not
horrible", "bad", "really bad", "awful", "really awful", and
"horrible"). To date he has 130,000 subjects (!) and about 1.5
million data points:
Here's the website for his experiment: http://www.sound101.org
Clearly this is related to the "effect of visual stimuli on the
horribleness of awful sounds" that Kelly Fitz pointed out.
On Jun 29, 2007, at 12:32 AM, Massimo Grassi wrote:
So far it looks that the experiment with the largest N (513!) is "The
role of contrasting temporal amplitude patterns in the perception of
speech" Healy and Warren JASA but I didn't check yet the methodology
to see whether is a between or a within subject design.