# a method for calculating the proportional mediating effect

#### amirpakpour

##### New Member
Dear All
Hi
I am Amir from Iran where we have no a well know psychologist especially in quantitative.I am not good in mediation. I used Preacher And Hayes (2008) SPSS Macro For Multiple Mediation of variable (FSFI). I found that there is a mediation role in my results. However, it is very hard to me for calculation of the proportional mediating effect.I very crudely calculated the product of paths a and b (ab) to give a total indirect effect of 0.082 and divided this value by the total effect (0.4689) and this indicated that 17.48% is the proportional mediating effect. is that true? any advice and suggestions will be greatly appreciated. I left my output in the following.
Thanks

Dependent, Independent, and Proposed Mediator Variables:
DV = Depressi
IV = Pain
MEDS = FSFI

Statistical Controls:
CONTROL= age
accomoda
economic
educatio
BMI

Sample size
391

IV to Mediators (a paths)
Coeff se t p
FSFI -.5067 .1319 -3.8420 .0002

Direct Effects of Mediators on DV (b paths)
Coeff se t p
FSFI -.1638 .0483 -3.3897 .0010

Total Effect of IV on DV (c path)
Coeff se t p
Pain .4689 .0685 6.8464 .0000

Direct Effect of IV on DV (c-prime path)
Coeff se t p
Pain .3859 .0697 5.5332 .0000

Partial Effect of Control Variables on DV
Coeff se t p
age .0034 .0238 .1446 .8853
accomoda .5468 .4361 1.2538 .2127
economic .3992 .3917 1.0192 .3105
educatio .0835 .1493 .5594 .5771
BMI .0573 .0240 2.3881 .0187

Model Summary for DV Model
R-sq Adj R-sq F df1 df2 p
.4603 .4239 12.6702 7.0000 104.0000 .0000

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BOOTSTRAP RESULTS FOR INDIRECT EFFECTS

Indirect Effects of IV on DV through Proposed Mediators (ab paths)
Data boot Bias SE
TOTAL .0830 .0790 -.0040 .0367
FSFI .0830 .0790 -.0040 .0367

Bias Corrected and Accelerated Confidence Intervals
Lower Upper
TOTAL .0277 .1807
FSFI .0277 .1807

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Level of Confidence for Confidence Intervals:
95

Number of Bootstrap Resamples:
2000

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