An independent variable is mediated (X) by two mediating variables (M1 and M2) on a dependent variable (Y). The bootstrap results (AMOS-SEM) are as follows:
Point Estimates Std Error L.B U.B p-value
Direct path
X-->M1 .71 .04 .63 .79 .001
M1-->Y .20 .08 .03 .35 .001
X-->M2 .16 .05 .07 .25 .002
M2-->Y -.30 .08 -.46 -.14 .002
Total Indirect Effect .10 06 -.03 .22 .139
Please help me to explain why the total indirect effect is insignificant when both the paths are separately significant. Even if the opposite directs are the reasons but the indirect mediating effect of X-->M1-->Y is greater (+.14) as compare to an indirect mediating effect of X-->M2-->Y.(-.05). How will I establish a conclusion in this respect? Kindly suggest.
Try using MACROs developed by Hayes for SPSS-PROCESS, which is designed to analyze the indirect effect of independent variable through multiple mediators.\
Ok , answer of Mr. Wali ur Rehman is good and easy in SPSS software under (AMOS)
Well if the indirect effect is not significant and the direct effect is also insignificant after introducing the mediator. Then you can conclude that there is a partial mediation. Apart from that, reverse causation can be the possible reason. Go through the Barron and Kenny (1986)
Thank You Professor.. In Process macro, Can we get p-value and Standard Error (SE) for the indirect effect? Are they required to interpret data?
Wali Ur Rehman
- Badges
- Science topic
- Similar topics
- Psychology