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permutation tests and data
jcrofts
Posted on 02/27/09 07:16:44
Number of posts: 29
j crofts
jcrofts posts:

Hi, is it fair to say that if the permutation tests return sprob = [0, 0.998, 0.998, 0.998, 0.998] that I cannot trust the resulting analysis? Is it also fair to say that the data is not necessarily garbage, simply that I cannot draw any conclusions from the PLS analysis? Or, does it basically tell me my data is essentially noise?
Cheers, Jonathan

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jshen
Posted on 02/27/09 10:49:41
Number of posts: 291
jshen replies:


sprob means the probability of permuted values that are greater than the observed values. therefore, higher sprob value (maximum is 1) means less significant. in your case, you have sprob = [0, 0.998, 0.998, 0.998, 0.998], so only the first LV is significant.



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nlobaugh
Posted on 02/27/09 11:00:01
Number of posts: 229
nlobaugh replies:

sprob = [0, 0.998, 0.998, 0.998, 0.998] that I cannot trust the resulting analysis?

however, those are quite unusual  values... as Jimmy said, it indicates that you only have one significant effect in the data. 

If all the cross-block covariance is accounted for by the first LV, I would suggest double checking your datamats to be sure you have not entered in the wrong data.



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