I’ve used bootstrap resampling quite a bit, and I’ve used it in SPSS. I would need to know a bit more about what you are thinking here. Basically the way
to accomplish what you are trying to accomplish is to compare the findings of the bootrstrapped CI to the standard estimate and if they are consistent, then you can be more assured the findings are robust to type I error. In general bootstrapping is more
robust in its own right to type I error, so there is an argument that inconsistent results are meaningless, other than to say that the standard estimates were subject to bias and failed to meet certain assumptions. In other words, the bootstrapped estimate
is always a better estimate, so even if its inconsistent with the standard estimate, it still can be trusted in its own right.
-Matt
From: SPSSX(r) Discussion [mailto:[hidden email]]
On Behalf Of Margaret MacDougall
Sent: Wednesday, March 13, 2013 10:14 AM
To: [hidden email]
Subject: Bootstrap sampling for evaluating hypothesis tests
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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