Run MATRIX procedure:
***************** PROCESS Procedure for SPSS Release 2.13 ***************
Written by Andrew F. Hayes, Ph.D. www.afhayes.com
Documentation available in Hayes (2013). www.guilford.com/p/hayes3
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Model = 7
Y = cyudoj
X = unce
M = bias
W = controll
Sample size
100
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Outcome: bias
Model Summary
R R-sq MSE F df1 df2 p
.6929 .4801 1.0950 29.5495 3.0000 96.0000 .0000
Model
coeff se t p LLCI ULCI
constant 4.0900 .1046 39.0856 .0000 3.8823 4.2977
unce -1.4200 .2093 -6.7850 .0000 -1.8354 -1.0046
controll 1.3000 .2093 6.2116 .0000 .8846 1.7154
int_1 .8400 .4186 2.0068 .0476 .0091 1.6709
Interactions:
int_1 unce X controll
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Outcome: cyudoj
Model Summary
R R-sq MSE F df1 df2 p
.8004 .6407 .4745 86.4878 2.0000 97.0000 .0000
Model
coeff se t p LLCI ULCI
constant 2.0102 .2388 8.4167 .0000 1.5362 2.4843
bias .5672 .0559 10.1438 .0000 .4562 .6782
unce -.3479 .1590 -2.1881 .0311 -.6635 -.0323
******************** DIRECT AND INDIRECT EFFECTS *************************
Direct effect of X on Y
Effect SE t p LLCI ULCI
-.3479 .1590 -2.1881 .0311 -.6635 -.0323
Conditional indirect effect(s) of X on Y at values of the moderator(s):
Mediator
controll Effect Boot SE BootLLCI BootULCI
bias -.5000 -1.0436 .1791 -1.4278 -.7228
bias .5000 -.5672 .1704 -.9293 -.2476
******************** INDEX OF MODERATED MEDIATION ************************
Mediator
Index SE(Boot) BootLLCI BootULCI
bias .4764 .2363 .0287 .9512
When the moderator is dichotomous, this is a test of equality of the
conditional indirect effects in the two groups.
******************** ANALYSIS NOTES AND WARNINGS *************************
Number of bootstrap samples for bias corrected bootstrap confidence intervals:
5000
Level of confidence for all confidence intervals in output:
95.00
NOTE: The following variables were mean centered prior to analysis:
unce controll
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