ONEWAY WTP_PUR WTP_PAY WTP_MORE RSLINT BY BLOCKCH
/STATISTICS DESCRIPTIVES
/MISSING ANALYSIS
/CRITERIA=CILEVEL(0.95).
Oneway
Descriptives
| | N | Mean | Std. Deviation | Std. Error | 95% Confidence Interval for Mean | Minimum | Maximum |
|---|
| Lower Bound | Upper Bound |
|---|
| Willingness to Purchase (1-7) | 0 | 153 | 4.8627 | 1.52203 | .12305 | 4.6196 | 5.1059 | 1.00 | 7.00 |
|---|
| 1 | 146 | 5.1027 | 1.46560 | .12129 | 4.8630 | 5.3425 | 1.00 | 7.00 |
|---|
| Total | 299 | 4.9799 | 1.49707 | .08658 | 4.8096 | 5.1503 | 1.00 | 7.00 |
|---|
| Willingness to Pay (1-7) | 0 | 153 | 4.1176 | 1.65012 | .13340 | 3.8541 | 4.3812 | 1.00 | 7.00 |
|---|
| 1 | 146 | 4.0342 | 1.66677 | .13794 | 3.7616 | 4.3069 | 1.00 | 7.00 |
|---|
| Total | 299 | 4.0769 | 1.65601 | .09577 | 3.8885 | 4.2654 | 1.00 | 7.00 |
|---|
| % More Willing to Pay (1-5) | 0 | 153 | 2.3660 | 1.13990 | .09216 | 2.1839 | 2.5481 | 1.00 | 5.00 |
|---|
| 1 | 146 | 2.4178 | 1.21914 | .10090 | 2.2184 | 2.6172 | 1.00 | 5.00 |
|---|
| Total | 299 | 2.3913 | 1.17755 | .06810 | 2.2573 | 2.5253 | 1.00 | 5.00 |
|---|
| RSLINT | 0 | 153 | 4.6841 | 1.42132 | .11491 | 4.4571 | 4.9111 | 1.00 | 7.00 |
|---|
| 1 | 146 | 5.0890 | 1.29324 | .10703 | 4.8775 | 5.3006 | 1.00 | 7.00 |
|---|
| Total | 299 | 4.8818 | 1.37307 | .07941 | 4.7256 | 5.0381 | 1.00 | 7.00 |
|---|
ANOVA
| | Sum of Squares | df | Mean Square | F | Sig. |
|---|
| Willingness to Purchase (1-7) | Between Groups | 4.303 | 1 | 4.303 | 1.926 | .166 |
|---|
| Within Groups | 663.577 | 297 | 2.234 | | |
|---|
| Total | 667.880 | 298 | | | |
|---|
| Willingness to Pay (1-7) | Between Groups | .520 | 1 | .520 | .189 | .664 |
|---|
| Within Groups | 816.711 | 297 | 2.750 | | |
|---|
| Total | 817.231 | 298 | | | |
|---|
| % More Willing to Pay (1-5) | Between Groups | .200 | 1 | .200 | .144 | .704 |
|---|
| Within Groups | 413.017 | 297 | 1.391 | | |
|---|
| Total | 413.217 | 298 | | | |
|---|
| RSLINT | Between Groups | 12.251 | 1 | 12.251 | 6.621 | .011 |
|---|
| Within Groups | 549.574 | 297 | 1.850 | | |
|---|
| Total | 561.825 | 298 | | | |
|---|
* Encoding: UTF-8.
preserve.
set printback=off.
Matrix
Run MATRIX procedure:
***************** PROCESS Procedure for SPSS Version 4.2 *****************
Written by Andrew F. Hayes, Ph.D. www.afhayes.com
Documentation available in Hayes (2022). www.guilford.com/p/hayes3
**************************************************************************
Model : 1
Y : WTP_PUR
X : BLOCKCH
W : TMPORIE
Sample
Size: 299
**************************************************************************
OUTCOME VARIABLE:
WTP_PUR
Model Summary
R R-sq MSE F df1 df2 p
.2170 .0471 2.1574 4.8602 3.0000 295.0000 .0026
Model
coeff se t p LLCI ULCI
constant 4.7859 .6123 7.8161 .0000 3.5809 5.9910
BLOCKCH -1.9213 .8878 -2.1641 .0313 -3.6686 -.1740
TMPORIE .0171 .1334 .1279 .8983 -.2455 .2796
Int_1 .4845 .1944 2.4918 .0133 .1018 .8672
Product terms key:
Int_1 : BLOCKCH x TMPORIE
Test(s) of highest order unconditional interaction(s):
R2-chng F df1 df2 p
X*W .0201 6.2090 1.0000 295.0000 .0133
----------
Focal predict: BLOCKCH (X)
Mod var: TMPORIE (W)
Conditional effects of the focal predictor at values of the moderator(s):
TMPORIE Effect se t p LLCI ULCI
3.6063 -.1740 .2405 -.7235 .4699 -.6474 .2993
4.4833 .2508 .1700 1.4757 .1411 -.0837 .5854
5.3602 .6757 .2410 2.8039 .0054 .2014 1.1500
Moderator value(s) defining Johnson-Neyman significance region(s):
Value % below % above
4.6722 56.1873 43.8127
Conditional effect of focal predictor at values of the moderator:
TMPORIE Effect se t p LLCI ULCI
1.7500 -1.0734 .5577 -1.9249 .0552 -2.1710 .0241
2.0000 -.9523 .5116 -1.8615 .0637 -1.9591 .0545
2.2500 -.8312 .4660 -1.7836 .0755 -1.7483 .0860
2.5000 -.7101 .4211 -1.6861 .0928 -1.5389 .1187
2.7500 -.5889 .3772 -1.5615 .1195 -1.3312 .1533
3.0000 -.4678 .3345 -1.3986 .1630 -1.1261 .1905
3.2500 -.3467 .2937 -1.1805 .2387 -.9246 .2313
3.5000 -.2256 .2556 -.8825 .3782 -.7285 .2774
3.7500 -.1044 .2216 -.4712 .6379 -.5406 .3318
4.0000 .0167 .1941 .0860 .9315 -.3652 .3986
4.2500 .1378 .1758 .7838 .4338 -.2082 .4839
4.5000 .2589 .1700 1.5231 .1288 -.0757 .5935
4.6722 .3424 .1740 1.9680 .0500 .0000 .6848
4.7500 .3801 .1778 2.1375 .0334 .0301 .7300
5.0000 .5012 .1976 2.5362 .0117 .1123 .8901
5.2500 .6223 .2263 2.7499 .0063 .1769 1.0677
5.5000 .7434 .2610 2.8488 .0047 .2299 1.2570
5.7500 .8646 .2995 2.8864 .0042 .2751 1.4541
6.0000 .9857 .3407 2.8934 .0041 .3152 1.6562
6.2500 1.1068 .3836 2.8856 .0042 .3519 1.8617
6.5000 1.2280 .4277 2.8711 .0044 .3862 2.0697
6.7500 1.3491 .4727 2.8541 .0046 .4188 2.2793
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/
BLOCKCH TMPORIE WTP_PUR .
BEGIN DATA.
.0000 3.6063 4.8474
1.0000 3.6063 4.6734
.0000 4.4833 4.8624
1.0000 4.4833 5.1132
.0000 5.3602 4.8774
1.0000 5.3602 5.5531
END DATA.
GRAPH/SCATTERPLOT=
TMPORIE WITH WTP_PUR BY BLOCKCH .
*********************** ANALYSIS NOTES AND ERRORS ************************
Level of confidence for all confidence intervals in output:
95.0000
W values in conditional tables are the mean and +/- SD from the mean.
------ END MATRIX -----
* Encoding: UTF-8.
preserve.
set printback=off.
Matrix
Run MATRIX procedure:
***************** PROCESS Procedure for SPSS Version 4.2 *****************
Written by Andrew F. Hayes, Ph.D. www.afhayes.com
Documentation available in Hayes (2022). www.guilford.com/p/hayes3
**************************************************************************
Model : 14
Y : WTP_PUR
X : BLOCKCH
M : RSLINT
W : TMPORIE
Sample
Size: 299
**************************************************************************
OUTCOME VARIABLE:
RSLINT
Model Summary
R R-sq MSE F df1 df2 p
.1477 .0218 1.8504 6.6206 1.0000 297.0000 .0106
Model
coeff se t p LLCI ULCI
constant 4.6841 .1100 42.5929 .0000 4.4677 4.9005
BLOCKCH .4049 .1574 2.5730 .0106 .0952 .7147
**************************************************************************
OUTCOME VARIABLE:
WTP_PUR
Model Summary
R R-sq MSE F df1 df2 p
.1886 .0356 2.1909 2.7119 4.0000 294.0000 .0303
Model
coeff se t p LLCI ULCI
constant 3.8838 1.6062 2.4180 .0162 .7227 7.0450
BLOCKCH .2914 .1732 1.6825 .0935 -.0495 .6323
RSLINT -.0236 .3148 -.0750 .9403 -.6431 .5959
TMPORIE .3216 .3466 .9280 .3542 -.3604 1.0036
Int_1 -.0171 .0683 -.2501 .8027 -.1514 .1172
Product terms key:
Int_1 : RSLINT x TMPORIE
Test(s) of highest order unconditional interaction(s):
R2-chng F df1 df2 p
M*W .0002 .0626 1.0000 294.0000 .8027
----------
Focal predict: RSLINT (M)
Mod var: TMPORIE (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/
RSLINT TMPORIE WTP_PUR .
BEGIN DATA.
3.5088 3.6063 4.8870
4.8818 3.6063 4.7701
6.2549 3.6063 4.6531
3.5088 4.4833 5.1165
4.8818 4.4833 4.9790
6.2549 4.4833 4.8415
3.5088 5.3602 5.3460
4.8818 5.3602 5.1879
6.2549 5.3602 5.0299
END DATA.
GRAPH/SCATTERPLOT=
RSLINT WITH WTP_PUR BY TMPORIE .
****************** DIRECT AND INDIRECT EFFECTS OF X ON Y *****************
Direct effect of X on Y
Effect se t p LLCI ULCI
.2914 .1732 1.6825 .0935 -.0495 .6323
Conditional indirect effects of X on Y:
INDIRECT EFFECT:
BLOCKCH -> RSLINT -> WTP_PUR
TMPORIE Effect BootSE BootLLCI BootULCI
3.6063 -.0345 .0437 -.1351 .0394
4.4833 -.0406 .0330 -.1151 .0117
5.3602 -.0466 .0390 -.1364 .0179
Index of moderated mediation:
Index BootSE BootLLCI BootULCI
TMPORIE -.0069 .0285 -.0642 .0528
*********************** 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
W values in conditional tables are the mean and +/- SD from the mean.
------ END MATRIX -----
* Encoding: UTF-8.
preserve.
set printback=off.
Matrix
Run MATRIX procedure:
***************** PROCESS Procedure for SPSS Version 4.2 *****************
Written by Andrew F. Hayes, Ph.D. www.afhayes.com
Documentation available in Hayes (2022). www.guilford.com/p/hayes3
**************************************************************************
Model : 7
Y : WTP_PUR
X : BLOCKCH
M : RSLINT
W : TMPORIE
Sample
Size: 299
**************************************************************************
OUTCOME VARIABLE:
RSLINT
Model Summary
R R-sq MSE F df1 df2 p
.1557 .0242 1.8583 2.4425 3.0000 295.0000 .0643
Model
coeff se t p LLCI ULCI
constant 5.1518 .5683 9.0653 .0000 4.0333 6.2702
BLOCKCH .0412 .8240 .0500 .9602 -1.5805 1.6628
TMPORIE -.1039 .1238 -.8389 .4022 -.3475 .1398
Int_1 .0806 .1805 .4464 .6556 -.2746 .4357
Product terms key:
Int_1 : BLOCKCH x TMPORIE
Test(s) of highest order unconditional interaction(s):
R2-chng F df1 df2 p
X*W .0007 .1993 1.0000 295.0000 .6556
----------
Focal predict: BLOCKCH (X)
Mod var: TMPORIE (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/
BLOCKCH TMPORIE RSLINT .
BEGIN DATA.
.0000 3.6063 4.7772
1.0000 3.6063 5.1090
.0000 4.4833 4.6862
1.0000 4.4833 5.0886
.0000 5.3602 4.5951
1.0000 5.3602 5.0681
END DATA.
GRAPH/SCATTERPLOT=
TMPORIE WITH RSLINT BY BLOCKCH .
**************************************************************************
OUTCOME VARIABLE:
WTP_PUR
Model Summary
R R-sq MSE F df1 df2 p
.1262 .0159 2.2204 2.3938 2.0000 296.0000 .0930
Model
coeff se t p LLCI ULCI
constant 5.3654 .3212 16.7049 .0000 4.7333 5.9974
BLOCKCH .2834 .1743 1.6261 .1050 -.0596 .6265
RSLINT -.1073 .0636 -1.6881 .0924 -.2324 .0178
****************** DIRECT AND INDIRECT EFFECTS OF X ON Y *****************
Direct effect of X on Y
Effect se t p LLCI ULCI
.2834 .1743 1.6261 .1050 -.0596 .6265
Conditional indirect effects of X on Y:
INDIRECT EFFECT:
BLOCKCH -> RSLINT -> WTP_PUR
TMPORIE Effect BootSE BootLLCI BootULCI
3.6063 -.0356 .0365 -.1278 .0151
4.4833 -.0432 .0323 -.1176 .0057
5.3602 -.0508 .0405 -.1439 .0127
Index of moderated mediation:
Index BootSE BootLLCI BootULCI
TMPORIE -.0086 .0240 -.0610 .0405
*********************** 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
W values in conditional tables are the mean and +/- SD from the mean.
------ END MATRIX -----
* Encoding: UTF-8.
preserve.
set printback=off.
Matrix
Run MATRIX procedure:
***************** PROCESS Procedure for SPSS Version 4.2 *****************
Written by Andrew F. Hayes, Ph.D. www.afhayes.com
Documentation available in Hayes (2022). www.guilford.com/p/hayes3
**************************************************************************
Model : 7
Y : WTP_PUR
X : BLOCKCH
M : RSLINT
W : TCHFAM
Sample
Size: 299
**************************************************************************
OUTCOME VARIABLE:
RSLINT
Model Summary
R R-sq MSE F df1 df2 p
.1841 .0339 1.8400 3.4483 3.0000 295.0000 .0171
Model
coeff se t p LLCI ULCI
constant 4.8975 .3520 13.9129 .0000 4.2047 5.5902
BLOCKCH -.3743 .4839 -.7735 .4398 -1.3266 .5780
TCHFAM -.0490 .0768 -.6379 .5240 -.2002 .1022
Int_1 .1826 .1065 1.7144 .0875 -.0270 .3923
Product terms key:
Int_1 : BLOCKCH x TCHFAM
Test(s) of highest order unconditional interaction(s):
R2-chng F df1 df2 p
X*W .0096 2.9392 1.0000 295.0000 .0875
----------
Focal predict: BLOCKCH (X)
Mod var: TCHFAM (W)
Conditional effects of the focal predictor at values of the moderator(s):
TCHFAM Effect se t p LLCI ULCI
2.8178 .1403 .2224 .6308 .5287 -.2975 .5781
4.2954 .4102 .1571 2.6116 .0095 .1011 .7193
5.7731 .6800 .2223 3.0593 .0024 .2426 1.1175
Moderator value(s) defining Johnson-Neyman significance region(s):
Value % below % above
3.8260 36.7893 63.2107
Conditional effect of focal predictor at values of the moderator:
TCHFAM Effect se t p LLCI ULCI
1.0000 -.1917 .3847 -.4982 .6187 -.9487 .5654
1.3000 -.1369 .3557 -.3847 .7007 -.8370 .5633
1.6000 -.0821 .3274 -.2507 .8022 -.7264 .5622
1.9000 -.0273 .2997 -.0911 .9275 -.6172 .5626
2.2000 .0275 .2730 .1007 .9199 -.5098 .5648
2.5000 .0823 .2476 .3324 .7399 -.4049 .5695
2.8000 .1371 .2238 .6125 .5407 -.3033 .5775
3.1000 .1919 .2023 .9485 .3436 -.2062 .5899
3.4000 .2466 .1838 1.3418 .1807 -.1151 .6084
3.7000 .3014 .1694 1.7792 .0762 -.0320 .6349
3.8260 .3245 .1649 1.9680 .0500 .0000 .6489
4.0000 .3562 .1602 2.2236 .0269 .0409 .6715
4.3000 .4110 .1571 2.6169 .0093 .1019 .7201
4.6000 .4658 .1604 2.9048 .0040 .1502 .7814
4.9000 .5206 .1697 3.0675 .0024 .1866 .8546
5.2000 .5754 .1842 3.1235 .0020 .2129 .9379
5.5000 .6302 .2027 3.1082 .0021 .2312 1.0292
5.8000 .6850 .2243 3.0534 .0025 .2435 1.1264
6.1000 .7397 .2482 2.9810 .0031 .2514 1.2281
6.4000 .7945 .2736 2.9035 .0040 .2560 1.3331
6.7000 .8493 .3004 2.8275 .0050 .2582 1.4405
7.0000 .9041 .3280 2.7561 .0062 .2585 1.5497
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/
BLOCKCH TCHFAM RSLINT .
BEGIN DATA.
.0000 2.8178 4.7593
1.0000 2.8178 4.8997
.0000 4.2954 4.6869
1.0000 4.2954 5.0971
.0000 5.7731 4.6145
1.0000 5.7731 5.2945
END DATA.
GRAPH/SCATTERPLOT=
TCHFAM WITH RSLINT BY BLOCKCH .
**************************************************************************
OUTCOME VARIABLE:
WTP_PUR
Model Summary
R R-sq MSE F df1 df2 p
.1262 .0159 2.2204 2.3938 2.0000 296.0000 .0930
Model
coeff se t p LLCI ULCI
constant 5.3654 .3212 16.7049 .0000 4.7333 5.9974
BLOCKCH .2834 .1743 1.6261 .1050 -.0596 .6265
RSLINT -.1073 .0636 -1.6881 .0924 -.2324 .0178
****************** DIRECT AND INDIRECT EFFECTS OF X ON Y *****************
Direct effect of X on Y
Effect se t p LLCI ULCI
.2834 .1743 1.6261 .1050 -.0596 .6265
Conditional indirect effects of X on Y:
INDIRECT EFFECT:
BLOCKCH -> RSLINT -> WTP_PUR
TCHFAM Effect BootSE BootLLCI BootULCI
2.8178 -.0151 .0272 -.0769 .0379
4.2954 -.0440 .0320 -.1180 .0071
5.7731 -.0730 .0541 -.1994 .0096
Index of moderated mediation:
Index BootSE BootLLCI BootULCI
TCHFAM -.0196 .0192 -.0683 .0061
*********************** 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
W values in conditional tables are the mean and +/- SD from the mean.
------ END MATRIX -----
* Encoding: UTF-8.
preserve.
set printback=off.
Matrix
Run MATRIX procedure:
***************** PROCESS Procedure for SPSS Version 4.2 *****************
Written by Andrew F. Hayes, Ph.D. www.afhayes.com
Documentation available in Hayes (2022). www.guilford.com/p/hayes3
**************************************************************************
Model : 14
Y : WTP_PUR
X : BLOCKCH
M : RSLINT
W : TCHFAM
Sample
Size: 299
**************************************************************************
OUTCOME VARIABLE:
RSLINT
Model Summary
R R-sq MSE F df1 df2 p
.1477 .0218 1.8504 6.6206 1.0000 297.0000 .0106
Model
coeff se t p LLCI ULCI
constant 4.6841 .1100 42.5929 .0000 4.4677 4.9005
BLOCKCH .4049 .1574 2.5730 .0106 .0952 .7147
**************************************************************************
OUTCOME VARIABLE:
WTP_PUR
Model Summary
R R-sq MSE F df1 df2 p
.1916 .0367 2.1883 2.8022 4.0000 294.0000 .0261
Model
coeff se t p LLCI ULCI
constant 3.6609 .9935 3.6848 .0003 1.7056 5.6162
BLOCKCH .3190 .1738 1.8357 .0674 -.0230 .6610
RSLINT .1251 .1934 .6470 .5181 -.2554 .5056
TCHFAM .3898 .2103 1.8530 .0649 -.0242 .8037
Int_1 -.0533 .0407 -1.3090 .1916 -.1334 .0268
Product terms key:
Int_1 : RSLINT x TCHFAM
Test(s) of highest order unconditional interaction(s):
R2-chng F df1 df2 p
M*W .0056 1.7134 1.0000 294.0000 .1916
----------
Focal predict: RSLINT (M)
Mod var: TCHFAM (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/
RSLINT TCHFAM WTP_PUR .
BEGIN DATA.
3.5088 2.8178 4.8272
4.8818 2.8178 4.7929
6.2549 2.8178 4.7586
3.5088 4.2954 5.1270
4.8818 4.2954 4.9846
6.2549 4.2954 4.8422
3.5088 5.7731 5.4268
4.8818 5.7731 5.1763
6.2549 5.7731 4.9259
END DATA.
GRAPH/SCATTERPLOT=
RSLINT WITH WTP_PUR BY TCHFAM .
****************** DIRECT AND INDIRECT EFFECTS OF X ON Y *****************
Direct effect of X on Y
Effect se t p LLCI ULCI
.3190 .1738 1.8357 .0674 -.0230 .6610
Conditional indirect effects of X on Y:
INDIRECT EFFECT:
BLOCKCH -> RSLINT -> WTP_PUR
TCHFAM Effect BootSE BootLLCI BootULCI
2.8178 -.0101 .0442 -.0928 .0927
4.2954 -.0420 .0318 -.1141 .0113
5.7731 -.0739 .0469 -.1850 -.0031
Index of moderated mediation:
Index BootSE BootLLCI BootULCI
TCHFAM -.0216 .0221 -.0752 .0102
*********************** 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
W values in conditional tables are the mean and +/- SD from the mean.
------ END MATRIX -----
* Encoding: UTF-8.
preserve.
set printback=off.
Matrix
Run MATRIX procedure:
***************** PROCESS Procedure for SPSS Version 4.2 *****************
Written by Andrew F. Hayes, Ph.D. www.afhayes.com
Documentation available in Hayes (2022). www.guilford.com/p/hayes3
**************************************************************************
Model : 4
Y : WTP_PUR
X : BLOCKCH
M : RSLINT
Sample
Size: 299
**************************************************************************
OUTCOME VARIABLE:
RSLINT
Model Summary
R R-sq MSE F df1 df2 p
.1477 .0218 1.8504 6.6206 1.0000 297.0000 .0106
Model
coeff se t p LLCI ULCI
constant 4.6841 .1100 42.5929 .0000 4.4677 4.9005
BLOCKCH .4049 .1574 2.5730 .0106 .0952 .7147
**************************************************************************
OUTCOME VARIABLE:
WTP_PUR
Model Summary
R R-sq MSE F df1 df2 p
.1262 .0159 2.2204 2.3938 2.0000 296.0000 .0930
Model
coeff se t p LLCI ULCI
constant 5.3654 .3212 16.7049 .0000 4.7333 5.9974
BLOCKCH .2834 .1743 1.6261 .1050 -.0596 .6265
RSLINT -.1073 .0636 -1.6881 .0924 -.2324 .0178
************************** TOTAL EFFECT MODEL ****************************
OUTCOME VARIABLE:
WTP_PUR
Model Summary
R R-sq MSE F df1 df2 p
.0803 .0064 2.2343 1.9259 1.0000 297.0000 .1662
Model
coeff se t p LLCI ULCI
constant 4.8627 .1208 40.2402 .0000 4.6249 5.1006
BLOCKCH .2400 .1729 1.3878 .1662 -.1003 .5803
************** TOTAL, DIRECT, AND INDIRECT EFFECTS OF X ON Y **************
Total effect of X on Y
Effect se t p LLCI ULCI
.2400 .1729 1.3878 .1662 -.1003 .5803
Direct effect of X on Y
Effect se t p LLCI ULCI
.2834 .1743 1.6261 .1050 -.0596 .6265
Indirect effect(s) of X on Y:
Effect BootSE BootLLCI BootULCI
RSLINT -.0435 .0327 -.1190 .0081
*********************** 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
------ END MATRIX -----