调节变量V在中介变量M与因变量Y之间起调节作用,请问得出如下数据是否表示调节作用不显著?
Model = 14
Y = TI
X = IM
M = cJS
V = cEC
Statistical Controls:
CONTROL= 性别 年龄 学历 工作年限 公司性质 行业
Sample size
203
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Outcome: cJS
Model Summary
R R-sq F df1 df2 p
.4182 .1749 5.9051 7.0000 195.0000 .0000
Model
coeff se t p
constant -15.2862 3.2401 -4.7178 .0000
IM .1435 .0305 4.7073 .0000
性别 .0974 .6089 .1599 .8731
年龄 .5730 .8207 .6982 .4859
学历 .7160 .5003 1.4312 .1540
工作年限 -.3885 .4171 -.9316 .3527
公司性质 .6142 .2074 2.9620 .0034
行业 -.0761 .1309 -.5816 .5615
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Outcome: TI
Model Summary
R R-sq F df1 df2 p
.4309 .1856 4.3768 10.0000 192.0000 .0000
Model
coeff se t p
constant 5.1345 2.4566 2.0901 .0379
cJS -.2516 .0518 -4.8541 .0000
IM .0588 .0231 2.5408 .0118
cEC .2690 .0870 3.0926 .0023
int_1 -.0040 .0156 -.2564 .7979
性别 .1364 .4380 .3114 .7559
年龄 .4611 .5952 .7747 .4395
学历 -.0756 .3602 -.2100 .8339
工作年限 -.0768 .3040 -.2527 .8008
公司性质 .3574 .1533 2.3317 .0208
行业 .0791 .0941 .8412 .4013
Interactions:
int_1 cJS X cEC
******************** DIRECT AND INDIRECT EFFECTS *************************
Direct effect of X on Y
Effect SE t p
.0588 .0231 2.5408 .0118
Conditional indirect effect(s) of X on Y at values of the moderator(s)
Mediator
cEC Effect Boot SE BootLLCI BootULCI
cJS -2.5054 -.0347 .0118 -.0616 -.0144
cJS .0002 -.0361 .0113 -.0600 -.0158
cJS 2.5059 -.0375 .0130 -.0658 -.0138
Values for quantitative moderators are the mean and plus/minus one SD from mean
******************** 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
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