a method for calculating the proportional mediating effect

classic Classic list List threaded Threaded
1 message Options
Reply | Threaded
Open this post in threaded view
|

a method for calculating the proportional mediating effect

pakpour_amir
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

*****************************************************************

           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

*****************************************************************

Level of Confidence for Confidence Intervals:
  95

Number of Bootstrap Resamples:
  2000

------ END MATRIX -----