Posted by
Jaby on
Dec 13, 2012; 4:26am
URL: http://spssx-discussion.165.s1.nabble.com/Resources-to-interpret-Preacher-and-Hayes-2004-SPSS-Macro-for-Simple-Mediation-tp5716937.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
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