

Problems with Running a Dichotomous M... 

Message/Author 


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 pvalue 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, Twotailed pvalue) 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 


You say cinterval(bcbootstrap); which means that you are asking for nonsymmetric CIs based on bootstrap. The pvalues are for regular ztest, which is the same as a symmetric CIs. You should use the bootstrap CIs because they are more appropriate. 


Thank you for the prompt reply, it made my day! 

Back to top 

