Resources to interpret Preacher and Hayes (2004) SPSS Macro for Simple Mediation?

Posted by Jaby on Dec 12, 2012; 11:09pm
URL: http://spssx-discussion.165.s1.nabble.com/Resources-to-interpret-Preacher-and-Hayes-2004-SPSS-Macro-for-Simple-Mediation-tp5716938.html

SPSSX List friends-

Have used the wisdom here for sometime, but am having a tough time interpreting the following output from Hayes great add-on to SPSS: 

VARIABLES IN SIMPLE MEDIATION MODEL 

 Y        Com_Eval 

 X        SDO 

 M        ESJ 

 

DESCRIPTIVES STATISTICS AND PEARSON CORRELATIONS 

                 Mean        SD  Com_Eval       SDO       ESJ 

Com_Eval    2.3000     .9232    1.0000     .3830     .4363 

SDO         3.2126     .5155     .3830    1.0000     .4069 

ESJ         3.1935     .4679     .4363     .4069    1.0000 

 

SAMPLE SIZE 

      166 

 

DIRECT AND TOTAL EFFECTS 

                 Coeff      s.e.         t  Sig(two) 

b(YX)       .6858     .1292    5.3092     .0000 

b(MX)       .3693     .0647    5.7050     .0000 

b(YM.X)     .6631     .1474    4.4983     .0000 

b(YX.M)     .4409     .1338    3.2957     .0012 

 

INDIRECT EFFECT AND SIGNIFICANCE USING NORMAL DISTRIBUTION 

           Value      s.e.    LL95CI    UL95CI         Z  Sig(two) 

Effect     .2449     .0700     .1077     .3821    3.4993     .0005

To me, this suggests a significant mediation by between SDO by ESJ to Com_Eval. Am I getting this right? Please confirm and feel free to illuminate! Or if a simple guide to interpretation for this program is available-steer me in the right direction!

Gracias-

Jaby