Run MATRIX procedure:
**************** PROCESS Procedure for SPSS Release 2.13.2 **************
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 = 16
Y = AVGPI
X = AVGQV
M = AVGAT
V = AVGIN
Q = AVGEX
Sample size
306
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Outcome: AVGAT
Model Summary
R R-sq MSE F df1 df2 p
.6745 .4550 .3564 253.8009 1.0000 304.0000 .0000
Model
coeff se t p LLCI ULCI
constant 1.0998 .1493 7.3676 .0000 .8061 1.3936
AVGQV .7684 .0482 15.9311 .0000 .6735 .8633
**************************************************************************
Outcome: AVGPI
Model Summary
R R-sq MSE F df1 df2 p
.9156 .8383 .1968 258.3070 6.0000 299.0000 .0000
Model
coeff se t p LLCI ULCI
constant -.1495 .3843 -.3890 .6976 -.9057 .6068
AVGAT .0250 .1251 .1999 .8417 -.2213 .2713
AVGQV .1056 .0527 2.0025 .0461 .0018 .2093
AVGIN .1459 .1207 1.2091 .2276 -.0916 .3834
AVGEX .2390 .1261 1.8955 .0590 -.0091 .4871
int_1 .0108 .0350 .3081 .7582 -.0581 .0797
int_2 .1262 .0373 3.3801 .0008 .0527 .1997
Interactions:
int_1 AVGAT X AVGIN
int_2 AVGAT X AVGEX
******************** DIRECT AND INDIRECT EFFECTS *************************
Direct effect of X on Y
Effect SE t p LLCI ULCI
.1056 .0527 2.0025 .0461 .0018 .2093
Conditional indirect effect(s) of X on Y at values of the moderator(s):
Mediator
AVGIN AVGEX Effect Boot SE BootLLCI BootULCI
AVGAT 2.4113 2.5095 .2826 .0506 .1899 .3877
AVGAT 2.4113 3.4303 .3719 .0636 .2509 .4994
AVGAT 2.4113 4.3510 .4612 .0915 .2907 .6444
AVGAT 3.2598 2.5095 .2896 .0556 .1871 .4121
AVGAT 3.2598 3.4303 .3789 .0584 .2709 .5039
AVGAT 3.2598 4.3510 .4682 .0810 .3183 .6376
AVGAT 4.1083 2.5095 .2966 .0717 .1604 .4516
AVGAT 4.1083 3.4303 .3859 .0655 .2702 .5262
AVGAT 4.1083 4.3510 .4752 .0792 .3298 .6450
Values for quantitative moderators are the mean and plus/minus one SD from mean.
Values for dichotomous moderators are the two values of the moderator.
******************** ANALYSIS NOTES AND WARNINGS *************************
Number of bootstrap samples for bias corrected bootstrap confidence intervals:
1000
Level of confidence for all confidence intervals in output:
95.00
NOTE: Some cases were deleted due to missing data. The number of such cases was:
1
------ END MATRIX -----
上面AVGIN和AVGEX是两个调节变量
模型是16