SPSS PROCESS Model 14: Examining the Moderated Mediation of Stress on Burnout

***************** PROCESS Procedure for SPSS Version 4.1 *****************

      Written by Andrew F. Hayes, Ph.D.       www.afhayes.com
Documentation available in Hayes (2022). www.guilford.com/p/hayes3

Model : 15 Y : 'Y倦怠' X : 'X压力' M : 'M效能' W : '性质'

Covariates: '性别' '年龄' '学历' '层级' '岗位' '区域' '工龄' '收入'

Sample Size: 34816

OUTCOME VARIABLE: 'M效能'

Model Summary R R-sq MSE F df1 df2 p .4163 .1733 44.1984 810.9374 9.0000 34806.0000 .0000

Model coeff se t p LLCI ULCI constant 40.9339 .4573 89.5119 .0000 40.0376 41.8303 'X压力' -.3602 .0044 -81.2468 .0000 -.3689 -.3515 '性别' -.7714 .0737 -10.4603 .0000 -.9159 -.6268 '年龄' -.1785 .0493 -3.6225 .0003 -.2752 -.0819 '学历' .2205 .0670 3.2932 .0010 .0893 .3518 '层级' .4098 .0602 6.8121 .0000 .2919 .5277 '岗位' -.4586 .0866 -5.2966 .0000 -.6283 -.2889 '区域' -.2365 .1036 -2.2821 .0225 -.4396 -.0334 '工龄' -.0060 .0663 -.0906 .9278 -.1359 .1239 '收入' .2280 .0433 5.2696 .0000 .1432 .3128

OUTCOME VARIABLE: 'Y倦怠'

Model Summary R R-sq MSE F df1 df2 p .7486 .5605 103.8947 3413.5332 13.0000 34802.0000 .0000

Model coeff se t p LLCI ULCI constant -7.4266 1.5728 -4.7218 .0000 -10.5094 -4.3438 'X压力' 1.3911 .0250 55.6016 .0000 1.3420 1.4401 'M效能' -.3311 .0272 -12.1921 .0000 -.3843 -.2778 '性质' 2.1787 .8602 2.5329 .0113 .4928 3.8647 Int_1 -.0997 .0149 -6.6688 .0000 -.1290 -.0704 Int_2 .0156 .0165 .9455 .3444 -.0168 .0480 '性别' -.6874 .1133 -6.0658 .0000 -.9096 -.4653 '年龄' -.1615 .0758 -2.1290 .0333 -.3101 -.0128 '学历' .2181 .1030 2.1172 .0342 .0162 .4200 '层级' .2855 .0934 3.0569 .0022 .1024 .4685 '岗位' .1463 .1330 1.0998 .2714 -.1144 .4069 '区域' 1.1696 .1619 7.2233 .0000 .8523 1.4870 '工龄' -.2285 .1017 -2.2469 .0247 -.4278 -.0292 '收入' -.4226 .0664 -6.3668 .0000 -.5527 -.2925

Product terms key: Int_1 : 'X压力' x '性质' Int_2 : 'M效能' x '性质'

Test(s) of X by M interaction: F df1 df2 p 37.4964 1.0000 34801.0000 .0000

Test(s) of highest order unconditional interaction(s): R2-chng F df1 df2 p 'XW' .0006 44.4732 1.0000 34802.0000 .0000 'MW' .0000 .8939 1.0000 34802.0000 .3444

Focal predict: 'X压力'  (X)
      Mod var: '性质'   (W)

Conditional effects of the focal predictor at values of the moderator(s):

 '性质'     Effect         se          t          p       LLCI       ULCI
 1.0000     1.2914      .0116   111.1029      .0000     1.2686     1.3142
 2.0000     1.1917      .0095   124.8985      .0000     1.1730     1.2104

Data for visualizing the conditional effect of the focal predictor: Paste text below into a SPSS syntax window and execute to produce plot.

DATA LIST FREE/ 'X压力' '性质' 'Y倦怠' . BEGIN DATA. 30.0069 1.0000 24.6781 38.2208 1.0000 35.2857 46.4348 1.0000 45.8933 30.0069 2.0000 24.2823 38.2208 2.0000 34.0712 46.4348 2.0000 43.8601 END DATA. GRAPH/SCATTERPLOT= 'X压力' WITH 'Y倦怠' BY '性质' .

Focal predict: 'M效能'  (M)
      Mod var: '性质'   (W)

Data for visualizing the conditional effect of the focal predictor: Paste text below into a SPSS syntax window and execute to produce plot.

DATA LIST FREE/ 'M效能' '性质' 'Y倦怠' . BEGIN DATA. 19.3468 1.0000 37.5920 26.6579 1.0000 35.2857 33.9690 1.0000 32.9794 19.3468 2.0000 36.2633 26.6579 2.0000 34.0712 33.9690 2.0000 31.8791 END DATA. GRAPH/SCATTERPLOT= 'M效能' WITH 'Y倦怠' BY '性质' . Bytes requested = 9697230848

Error encountered in source line #167991

错误 # 12477 MATRIX 无法为对象分配内存。请减小 问题大小，或使用 RELEASE 语句释放未使用的矩阵。 使用 DISPLAY 语句可列出所有已分配的对象。 . 停止执行该命令。

****************** DIRECT AND INDIRECT EFFECTS OF X ON Y *****************

Conditional direct effect(s) of X on Y: '性质' Effect se t p LLCI ULCI 1.0000 1.2914 .0116 111.1029 .0000 1.2686 1.3142 2.0000 1.1917 .0095 124.8985 .0000 1.1730 1.2104

Conditional indirect effects of X on Y:

INDIRECT EFFECT: 'X压力' -> 'M效能' -> 'Y倦怠'

 '性质'     Effect     BootSE   BootLLCI   BootULCI
 1.0000      .1136      .0053      .1031      .1241
 2.0000      .1080      .0047      .0985      .1172

Index of moderated mediation (difference between conditional indirect effects): Index BootSE BootLLCI BootULCI '性质' -.0056 .0068 -.0190 .0073

Pairwise contrasts between conditional indirect effects (Effect1 minus Effect2) Effect1 Effect2 Contrast BootSE BootLLCI BootULCI .1080 .1136 -.0056 .0068 -.0190 .0073

*********************** ANALYSIS NOTES AND ERRORS ************************

Level of confidence for all confidence intervals in output: 95.0000

Number of bootstrap samples for percentile bootstrap confidence intervals: 5000

NOTE: Standardized coefficients not available for models with moderators.

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