Hi all,
Apologies in advance if this is a silly question - I'm not at all good with
stats so have probably confused myself unnecessarily with what should be a
simple question. I have a dataset with 28 participants and I want to
analyse whether the number of errors made in two versions of the same task
are significantly different. The type of error is unusual, so there aren't
very many instances of it - most people don't make this type of error, as
follows:
Task A - 3 of the participants make errors (a total of 5 errors)
Task B - 6 people make errors (a total of 24 errors)
Would it be appropriate to carry out a Wilcoxon signed-rank test? Obviously
as most people score zero errors in both tests they are excluded from the
ranking - is that problematic? Also, it looks quite dodgy reporting a
median of zero! I've been faffing around with this for ages - I just don't
know how best to deal with data where most people have no score. I'd be
very happy going with a non-parametric test if I can - I've had enough of
it!
Fiona
--
Tel: 01707 284 761
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Fiona Essig
Research Student
Room E384
Research Huts
School of Psychology
University of Hertfordshire
College Lane
Hatfield
Herts AL10 9AB
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