Hello everyone. The p value of the path estime regression weight (B=0.198) from A to C, is 0.014 in my model in the figure. After boostraping, the coefficient from A to C (B=0.198) becomes p value 0.043 as a direct effect. What causes this difference in P value? Many thanks for your comments
My guess is that the first p value is based on a regular theoretical/asymptotic standard error, whereas the second one is based on bootstrapping, which is a different methodology for finding a p value empirically based on resampling rather than asymptotic theory.
The p-value of the estimated regression weight is different from the direct effect p-value in the AMOS program because they are testing different hypotheses. For regression coefficients, p-values indicate the probability of observing the coefficient value, or more extreme, if the null hypothesis is correct. The p-value of X’s average marginal effect may be different than the p-value of the variable X’s coefficient because they are testing different hypotheses.
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