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Problems with Running a Dichotomous M... |
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My mediation model has the following variables. y = continuous x = discrete (contrast coded -1,1) m = discrete (contrast coded -1,1) In my output, the indirect path is marginally significant at p = .09 but the 95 % confidence interval for the indirect path estimate *does not* contain 0, which implies significance at alpha = .05. Why do these estimates conflict? The first p-value implies that the mediation is not significant but the CI implies that it is. Which one is correct? Please see my code and output below. DATA: FILE IS C:\avgADINQ_BCINQ.txt; FORMAT IS free; VARIABLE: NAMES ARE y x m; USEVARIABLES y x m; ANALYSIS: bootstrap = 5000; MODEL: m on x; y on m x; MODEL INDIRECT: y via m x; OUTPUT: cinterval(bcbootstrap); *****select output***** "TOTAL, TOTAL INDIRECT, SPECIFIC INDIRECT, AND DIRECT EFFECTS" Specific indirect [est, SE, est SE, Two-tailed p-value) Y M X 0.027 0.016 1.694 0.090 "Effects from X to Y via M" Est = .027 (same as above) Lower 2.5% = .003 Upper 2.5% = .07 Please help! Thanks you, Julie julieschiro@gmail.com |
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You say cinterval(bcbootstrap); which means that you are asking for non-symmetric CIs based on bootstrap. The p-values are for regular z-test, which is the same as a symmetric CIs. You should use the bootstrap CIs because they are more appropriate. |
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Thank you for the prompt reply, it made my day! |
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