Hello all,
I'm testing for mediation using bootstrapping in AMOS. This method reports results for two-tailed significance, but my hypotheses are directional. With bootstrapping, significance is assessed based on confidence intervals - though a p-value is also provided. For regression, I would normally divide the p-value by two to get the one-tailed result. Would this be appropriate with tests of indirect effects too? In my case the two-tailed p value is .068 so it is potentially either marginal or significant depending on whether it is interpreted as two- or one-tailed.
Also, since, for these types of tests, CI rather than p-value is reported, is there an equivalent adjustment for the confidence intervals?
Hope this makes sense enough sense for you to comment?
Thanks in advance for your help.
I'm testing for mediation using bootstrapping in AMOS. This method reports results for two-tailed significance, but my hypotheses are directional. With bootstrapping, significance is assessed based on confidence intervals - though a p-value is also provided. For regression, I would normally divide the p-value by two to get the one-tailed result. Would this be appropriate with tests of indirect effects too? In my case the two-tailed p value is .068 so it is potentially either marginal or significant depending on whether it is interpreted as two- or one-tailed.
Also, since, for these types of tests, CI rather than p-value is reported, is there an equivalent adjustment for the confidence intervals?
Hope this makes sense enough sense for you to comment?
Thanks in advance for your help.