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Adam Blake posted on Tuesday, March 09, 2010 - 9:58 pm
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I was wondering what the appropriate way to calculate p-values from the standard errors generated with the bootstrapping option? I am assuming I can use the estimate divided by the standard error to estimate a Z value. My concern is this approach does not always correspond with the sometimes asymmetric confidence intervals also generated with the bootstrapping option. Any clarification would be helpful. Thanks, Adam Blake |
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The current version of Mplus gives p-values. These are based on the z-score from taking the ratio of the parameter estimate to its standard error. |
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Adam Blake posted on Thursday, March 11, 2010 - 11:27 am
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So in the event that my 95% bootstrapped confidence interval for the unstandardized parameter does not include zero, but the probability derived from the Z value is >0.05, that parameter should still be deemed to be not significant? |
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You would need to decide which one is best for your situation. The bootstrapped confidence interval takes the non-normality of the parameter estimate distribution into account. It is not necessarily symmetric. |
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