**************************************************************************
Model = 14
Y = Y
X = X
M = M
V = GP1
Sample size
488
**************************************************************************
Outcome: M
Model Summary
R R-sq MSE F df1 df2 p
.0993 .0099 14.2775 4.8395 1.0000 486.0000 .0283
Model
coeff se t p LLCI ULCI
constant 20.4324 .1913 106.7920 .0000 20.0565 20.8084
X -.1271 .0578 -2.1999 .0283 -.2407. -.0135 **************************************************************************
Outcome: Y
Model Summary
R R-sq MSE F df1 df2 p
.4201 .1765 143.3220 25.8810 4.0000 483.0000 .0000
Model
coeff se t p LLCI ULCI
constant 31.7442 19.1005 1.6620 .0972 -5.7861 69.2745
M 2.6214 .8824 2.9709 .0031 .8877 4.3552
X -.2527 .1894 -1.3346 .1826 -.6248 .1193
GP1 1.4135 .4607 3.0679 .0023 .5082 2.3188
int_1 -.0376 .0214 -1.7556 .0798 -0.796 0.0045
Interactions:
int_1 M X GP1
******************** DIRECT AND INDIRECT EFFECTS *************************
Direct effect of X on Y
Effect SE t p LLCI ULCI
-.2527 .1894 -1.3346 .1826 -.6248 .1193
Conditional indirect effect(s) of X on Y at values of the moderator(s):
Mediator
GP1 Effect Boot SE BootLLCI BootULCI
M 33.9169 -.1713 .0826 -.3638 -.0319
M 39.6107 -.1441 .0662 -.2907 -.0239
M 45.3044 -.1169 .0562 -.2407 -.0170
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.
******************** INDEX OF MODERATED MEDIATION ************************
Mediator
Index SE(Boot) BootLLCI BootULCI
M .0048 .0043 -.0011 .0174
******************** 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: Some cases were deleted due to missing data. The number of such cases was:
69
.我用绿色字体标注了我主要看的几个数值，红色标记代表有问题的地方，不知道分析的对不对。
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