As most people on this list have no doubt discovered there are an abundance
of wikis, blogs, videos, courses, and tests, available online for helping
learn and complete statistics. As part of the scoping work I am completing,
which will assess some of these resources, I wonder if anyone would like to
share what they think are essential statistical dos and don'ts for this
range of open access materials. I am specifically interested in the
statistical criteria which you think a resource should cover or
misconceptions which must not be included, rather than generic criteria
which could be applied to all types of resource. For example, is it
essential that a resource explain the assumptions behind a test and how to
check for these before demonstrating and completing the test? Or, should a
resource be excluded if it has an excellent demonstration of how to use
software to complete a test but gives way to common misconceptions when
interpreting the results?
If you think there is statistical content which resources such as these
"must have" or "must not have" I would be grateful to hear from you.
My exercise is to incorporate the opinions of the statistical community into
criteria which I will then use to address a range of resources. Hopefully
this will result in a list of reviewed resources endorsed by criteria built
on the opinions of experts.
Thanks for any help you can give me.
Joanne Ingram
Research Associate in Medical Statistics
Centre for Population Health Sciences
University of Edinburgh
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