## help! nterpretation Preacher and Hayes mediation model

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amonia0321
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### help! nterpretation Preacher and Hayes mediation model

I am having a tough time interpreting the following output . Need to do it for tomorrow. I don't know how how to properly interpret and report those results. Can anybody help me?:)

Run MATRIX procedure:

VARIABLES IN THE FULL MODEL:
Y = intentio
M1 = communio
M2 = agency_i
X = war_rec

CODING OF CATEGORICAL X FOR ANALYSIS:
war_rec D1 D2
0 0 0
1 1 0
2 0 1

=============================================================================

OUTCOME VARIABLE:
intentio

MODEL SUMMARY (TOTAL EFFECTS MODEL)
R R-sq Adj R-sq F df1 df2 p
.2188 .0479 .0431 10.0536 2.0000 400.0000 .0001

MODEL COEFFICIENTS (TOTAL EFFECTS MODEL)
Coeff. s.e. t p
Constant 4.8483 .0850 57.0124 .0000
D1 -.4710 .1132 -4.1623 .0000
D2 -.4204 .1125 -3.7371 .0002

OMNIBUS TEST OF TOTAL EFFECT
R-sq F df1 df2 p
.0479 10.0536 2.0000 400.0000 .0001

=============================================================================

OUTCOME VARIABLE:
communio

MODEL SUMMARY
R R-sq Adj R-sq F df1 df2 p
.3186 .1015 .0970 22.6023 2.0000 400.0000 .0000

MODEL COEFFICIENTS
Coeff. s.e. t p
Constant 1.4975 .0508 29.4995 .0000
D1 -.4018 .0676 -5.9483 .0000
D2 -.0537 .0672 -.7996 .4244

=============================================================================

OUTCOME VARIABLE:
agency_i

MODEL SUMMARY
R R-sq Adj R-sq F df1 df2 p
.3333 .1111 .1066 24.9926 2.0000 400.0000 .0000

MODEL COEFFICIENTS
Coeff. s.e. t p
Constant 1.5475 .0398 38.8954 .0000
D1 .1909 .0529 3.6051 .0004
D2 -.1557 .0526 -2.9573 .0033

=============================================================================

OUTCOME VARIABLE:
intentio

MODEL SUMMARY
R R-sq adj R-sq F df1 df2 p
.6675 .4456 .4400 79.9624 4.0000 398.0000 .0000

MODEL COEFFICIENTS
Coeff. s.e. t p
Constant 2.4400 .1593 15.3193 .0000
communio .7239 .0655 11.0592 .0000
agency_i .8557 .0835 10.2464 .0000
D1 -.3435 .0928 -3.7014 .0002
D2 -.2484 .0870 -2.8546 .0045

OMNIBUS TEST OF DIRECT EFFECT
R-sq F df1 df2 p
.0209 7.5109 2.0000 398.0000 .0006

=============================================================================

INDIRECT EFFECT(S) THROUGH:
communio

Effect SE(boot) LLCI ULCI
D1 -.2909 .0590 -.4137 -.1827
D2 -.0389 .0491 -.1396 .0544
OMNIBUS .0703 .0232 .0338 .1238

----------

INDIRECT EFFECT(S) THROUGH:
agency_i

Effect SE(boot) LLCI ULCI
D1 .1633 .0441 .0794 .2548
D2 -.1332 .0491 -.2343 -.0431
OMNIBUS .0913 .0275 .0465 .1541

----------

********************** ANALYSIS NOTES AND WARNINGS ***************************

NOTE: Indicator coding is used for categorical X

Number of samples used for indirect effect confidence intervals:
10000

Level of confidence for confidence intervals:
95.0000

Bootstrap percentile confidence intervals for indirect effects are printed in output

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

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