SPSS can be used for many kinds of
simulation, bootstrapping, monte carlo, etc. The vocabulary for
this is not very consistent across disciplines.
There are many different kinds of functions for generating random
values "*.rv.something(arg1, arg2...).
There are many cumulative and inverse distribution functions.
it also have a vast array of hypothesis tests that you could
contrast with your test.
What is the conceptual type of hypothesis you are testing?
What is the conventional way to test this kind of hypothesis that
you want to show improvement over?
Are there specific assumptions that you want to relax?
What is the part of the test that you want to show is an
improvement?
Have you implemented your test in SPSS syntax?
Art Kendall
Social Research Consultants
On 3/13/2013 11:13 AM, Margaret MacDougall wrote:
Hello
I would be grateful to learn from any list users who have
used SPSS successfully for bootstrap sampling to assess
robustness to Type I errors of a proposed new hypothesis test.
Many thanks in advance
Best wishes
Margaret
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