Bảng số 17b: Total Variance Explained
Initial | Eigenvalues | Extraction Sums of Squared Loadings | ||||
Total | % of Variance | Cumulative % | Total | % of Variance | Cumulative % | |
1 | 9.901 | 26.759 | 26.759 | 9.901 | 26.759 | 26.759 |
2 | 3.198 | 8.643 | 35.402 | 3.198 | 8.643 | 35.402 |
3 | 2.835 | 7.661 | 43.063 | 2.835 | 7.661 | 43.063 |
4 | 2.394 | 6.471 | 49.534 | 2.394 | 6.471 | 49.534 |
5 | 2.230 | 6.026 | 55.561 | 2.230 | 6.026 | 55.561 |
6 | 1.709 | 4.618 | 60.178 | 1.709 | 4.618 | 60.178 |
7 | 1.572 | 4.249 | 64.427 | 1.572 | 4.249 | 64.427 |
8 | 1.367 | 3.694 | 68.121 | 1.367 | 3.694 | 68.121 |
9 | .999 | 2.701 | 70.822 | |||
10 | .907 | 2.450 | 73.272 | |||
11 | .883 | 2.386 | 75.658 | |||
12 | .756 | 2.042 | 77.700 | |||
13 | .649 | 1.754 | 79.454 | |||
14 | .638 | 1.725 | 81.179 | |||
15 | .619 | 1.673 | 82.852 | |||
16 | .594 | 1.606 | 84.458 | |||
17 | .517 | 1.397 | 85.855 | |||
18 | .502 | 1.357 | 87.212 | |||
19 | .457 | 1.236 | 88.448 | |||
20 | .434 | 1.172 | 89.620 | |||
21 | .404 | 1.092 | 90.713 | |||
22 | .354 | .957 | 91.670 | |||
23 | .336 | .908 | 92.578 | |||
24 | .319 | .863 | 93.441 | |||
25 | .295 | .796 | 94.237 | |||
26 | .289 | .782 | 95.019 | |||
27 | .263 | .712 | 95.731 | |||
28 | .256 | .692 | 96.423 | |||
29 | .219 | .593 | 97.016 | |||
30 | .206 | .558 | 97.574 | |||
31 | .190 | .514 | 98.088 | |||
32 | .175 | .473 | 98.561 | |||
33 | .158 | .427 | 98.989 | |||
34 | .130 | .350 | 99.339 | |||
35 | .109 | .296 | 99.635 | |||
36 | .078 | .212 | 99.847 | |||
37 | .057 | .153 | 100.000 |
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Extraction Method: Principal Component Analysis.
Bảng 17c: Rotated Component Matrixa
Component | ||||||||
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | |
SAT2 | .884 | .154 | .101 | .125 | .147 | |||
SAT6 | .837 | .101 | .148 | .187 | .188 | |||
SAT4 | .783 | .143 | .193 | .250 | ||||
SAT1 | .761 | .224 | .198 | .157 | ||||
SAT5 | .728 | .103 | .282 | -.111 | .154 | |||
SAT3 | .559 | .142 | .513 | |||||
STT7 | .881 | .136 | .122 | |||||
STT9 | .842 | .142 | ||||||
STT1 | .175 | .829 | .154 | .125 | .124 | |||
STT5 | .119 | .806 | .128 | .120 | .149 | .115 | ||
STT4 | .204 | .668 | .126 | .330 | .108 | .141 | ||
STT6 | .148 | .538 | .292 | .156 | -.114 | |||
DNNV2 | .117 | .837 | .127 | |||||
DNNV1 | .101 | .833 | ||||||
DNNV3 | .150 | .128 | .825 | .108 | .119 | |||
SAT8 | .538 | .574 | ||||||
DNNV5 | .559 | .486 | .101 | |||||
NBTH1 | .242 | .144 | .834 | .118 | .116 | |||
NBTH2 | .117 | .246 | .734 | .242 | ||||
NBTH4 | .214 | .283 | .667 | .158 | ||||
NBTH3 | .471 | .107 | .553 | |||||
DNNV4 | .123 | .512 | .536 | .153 | ||||
SDC2 | .154 | .117 | .770 | .105 | ||||
SDC3 | .346 | .132 | .107 | .660 | -.123 | |||
SDC5 | .294 | .156 | .651 | |||||
SDC1 | .130 | .181 | .635 | |||||
SDC4 | .127 | .144 | .106 | .139 | .575 | -.203 | .217 | |
AHXH4 | .925 | |||||||
AHXH2 | .904 | |||||||
AHXH1 | -.113 | -.111 | .721 | |||||
AHXH3 | -.123 | -.103 | .458 | .446 | ||||
PTHH1 | -.160 | .845 | ||||||
PTHH5 | .842 | |||||||
PTHH2 | .786 | |||||||
LITC2 | .221 | .113 | .202 | .847 | ||||
LITC1 | .311 | .177 | .113 | .224 | .786 | |||
LITC3 | .136 | .249 | .115 | .480 | .105 | .614 |
Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 6 iterations.
Bảng số 18: Phân tích nhân tố EFA các thành phần ảnh hưởng đến ý định (lần 2)
Bảng số 18a: KMO and Bartlett's Test
.825 | |
Bartlett's Test of Sphericity Approx. Chi-Square | 4.748E3 |
df | 630 |
Sig. | .000 |
Bảng số 18b: Total Variance Explained
Initial | Eigenvalues | Extraction Sums of Square | d Loadings | |||
Total | % of Variance | Cumulative % | Total | % of Variance | Cumulative % | |
1 | 9.883 | 27.452 | 27.452 | 9.883 | 27.452 | 27.452 |
2 | 3.179 | 8.830 | 36.282 | 3.179 | 8.830 | 36.282 |
3 | 2.692 | 7.478 | 43.760 | 2.692 | 7.478 | 43.760 |
4 | 2.279 | 6.332 | 50.092 | 2.279 | 6.332 | 50.092 |
5 | 2.203 | 6.120 | 56.211 | 2.203 | 6.120 | 56.211 |
6 | 1.707 | 4.743 | 60.954 | 1.707 | 4.743 | 60.954 |
7 | 1.561 | 4.335 | 65.289 | 1.561 | 4.335 | 65.289 |
8 | 1.367 | 3.796 | 69.085 | 1.367 | 3.796 | 69.085 |
9 | .938 | 2.606 | 71.692 | |||
10 | .891 | 2.476 | 74.168 | |||
11 | .830 | 2.306 | 76.474 | |||
12 | .726 | 2.017 | 78.492 | |||
13 | .646 | 1.796 | 80.287 | |||
14 | .625 | 1.735 | 82.023 | |||
15 | .600 | 1.667 | 83.690 | |||
16 | .530 | 1.471 | 85.161 | |||
17 | .517 | 1.435 | 86.596 | |||
18 | .461 | 1.282 | 87.878 | |||
19 | .438 | 1.217 | 89.094 | |||
20 | .413 | 1.148 | 90.243 | |||
21 | .380 | 1.054 | 91.297 | |||
22 | .354 | .983 | 92.280 | |||
23 | .319 | .887 | 93.167 | |||
24 | .307 | .852 | 94.020 | |||
25 | .290 | .804 | 94.824 | |||
26 | .266 | .739 | 95.563 | |||
27 | .257 | .714 | 96.277 | |||
28 | .221 | .615 | 96.892 | |||
29 | .208 | .578 | 97.471 | |||
30 | .197 | .548 | 98.019 | |||
31 | .180 | .500 | 98.519 | |||
32 | .158 | .440 | 98.959 | |||
33 | .130 | .360 | 99.319 | |||
34 | .109 | .304 | 99.623 | |||
35 | .079 | .219 | 99.842 | |||
36 | .057 | .158 | 100.000 |
Extraction Method: Principal Component Analysis.
Bảng số 18c: Rotated Component Matrixa
Component | ||||||||
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | |
SAT2 | .883 | .154 | .102 | .124 | .148 | |||
SAT6 | .836 | .102 | .147 | .188 | .190 | |||
SAT4 | .783 | .143 | .193 | .250 | ||||
SAT1 | .762 | .224 | .199 | .157 | ||||
SAT5 | .731 | .101 | .281 | -.118 | .153 | |||
SAT3 | .559 | .142 | .512 | |||||
STT7 | .881 | .138 | .122 | |||||
STT9 | .840 | .146 | ||||||
STT1 | .173 | .830 | .153 | .125 | .126 | |||
STT5 | .118 | .806 | .129 | .120 | .150 | .116 | ||
STT4 | .203 | .669 | .126 | .329 | .113 | .142 | ||
STT6 | .148 | .537 | .295 | .157 | -.114 | |||
DNNV2 | .115 | .838 | .128 | |||||
DNNV1 | .101 | .832 | ||||||
DNNV3 | .147 | .129 | .828 | .107 | .120 | |||
SAT8 | .535 | .576 | ||||||
DNNV5 | .560 | .485 | .101 | |||||
NBTH1 | .240 | .140 | .836 | .118 | .114 | |||
NBTH2 | .115 | .246 | .729 | .245 | ||||
NBTH4 | .216 | .282 | .670 | .158 | ||||
NBTH3 | .472 | .105 | .554 | |||||
DNNV4 | .127 | .506 | .545 | .150 | ||||
SDC2 | .153 | .115 | .769 | .104 | ||||
SDC3 | .348 | .130 | .112 | .659 | -.124 | |||
SDC5 | .290 | .147 | .655 | |||||
SDC1 | .128 | .179 | .637 | |||||
SDC4 | .131 | .141 | .101 | .149 | .571 | -.224 | .213 | |
AHXH4 | -.106 | .923 | ||||||
AHXH2 | .900 | |||||||
AHXH1 | -.105 | -.113 | .758 | |||||
PTHH5 | .849 | |||||||
PTHH1 | -.165 | .831 | ||||||
PTHH2 | .815 | |||||||
LITC2 | .219 | .113 | .202 | .847 | ||||
LITC1 | .308 | .178 | .115 | .225 | .788 | |||
LITC3 | .137 | .247 | .112 | .485 | .103 | .612 |
Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 6 iterations.
Bảng số 19: Phân tích nhân tố EFA các thành phần ảnh hưởng đến ý định (lần 3)
Bảng số 19a:KMO and Bartlett's Test
.813 | |
Bartlett's Test of Sphericity Approx. Chi-Square | 3.655E3 |
df | 406 |
Sig. | .000 |
Bảng số 19b: Total Variance Explained
Initial | Eigenvalues | Extraction Sums of Squared Loadings | ||||
Total | % of Variance | Cumulative % | Total | % of Variance | Cumulative % | |
1 | 7.992 | 27.559 | 27.559 | 7.992 | 27.559 | 27.559 |
2 | 2.935 | 10.122 | 37.681 | 2.935 | 10.122 | 37.681 |
3 | 2.293 | 7.907 | 45.588 | 2.293 | 7.907 | 45.588 |
4 | 2.173 | 7.493 | 53.082 | 2.173 | 7.493 | 53.082 |
5 | 1.972 | 6.800 | 59.882 | 1.972 | 6.800 | 59.882 |
6 | 1.492 | 5.143 | 65.025 | 1.492 | 5.143 | 65.025 |
7 | 1.351 | 4.659 | 69.684 | 1.351 | 4.659 | 69.684 |
8 | 1.166 | 4.021 | 73.705 | 1.166 | 4.021 | 73.705 |
9 | .866 | 2.986 | 76.691 | |||
10 | .754 | 2.601 | 79.292 | |||
11 | .599 | 2.066 | 81.358 | |||
12 | .552 | 1.905 | 83.263 | |||
13 | .510 | 1.760 | 85.023 | |||
14 | .472 | 1.628 | 86.651 | |||
15 | .447 | 1.543 | 88.194 | |||
16 | .403 | 1.391 | 89.584 | |||
17 | .395 | 1.362 | 90.946 | |||
18 | .363 | 1.252 | 92.198 | |||
19 | .327 | 1.128 | 93.325 | |||
20 | .309 | 1.066 | 94.391 | |||
21 | .272 | .938 | 95.329 | |||
22 | .259 | .893 | 96.222 | |||
23 | .234 | .807 | 97.029 | |||
24 | .218 | .750 | 97.779 | |||
25 | .189 | .650 | 98.430 | |||
26 | .169 | .584 | 99.014 | |||
27 | .122 | .420 | 99.434 | |||
28 | .088 | .305 | 99.738 | |||
29 | .076 | .262 | 100.000 |
Extraction Method: Principal Component Analysis.
Bảng số 19c: Rotated Component Matrixa
Component | ||||||||
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | |
SAT2 | .883 | .144 | .144 | .123 | ||||
SAT6 | .879 | .154 | .125 | .151 | .157 | |||
SAT4 | .811 | .163 | .151 | .105 | .225 | |||
SAT1 | .796 | .219 | .159 | .140 | ||||
SAT5 | .745 | .107 | .260 | -.110 | .171 | |||
STT7 | .890 | .171 | ||||||
STT9 | .863 | .172 | ||||||
STT1 | .195 | .828 | .130 | .170 | ||||
STT5 | .131 | .807 | .167 | .114 | .107 | |||
STT4 | .205 | .656 | .325 | .118 | .133 | .187 | ||
SDC2 | .146 | .760 | .148 | |||||
SDC1 | .135 | .675 | .178 | |||||
SDC5 | .268 | .671 | .166 | |||||
SDC3 | .412 | .117 | .610 | -.117 | .113 | |||
SDC4 | .170 | .160 | .590 | -.219 | .153 | |||
DNNV1 | .889 | |||||||
DNNV2 | .144 | .871 | .112 | |||||
DNNV3 | .145 | .119 | .106 | .832 | .129 | |||
AHXH4 | -.109 | .926 | ||||||
AHXH2 | .898 | -.109 | ||||||
AHXH1 | -.106 | -.130 | .761 | |||||
PTHH5 | .849 | |||||||
PTHH1 | -.169 | .828 | ||||||
PTHH2 | .819 | |||||||
NBTH2 | .108 | .214 | .233 | .803 | ||||
NBTH1 | .127 | .246 | .125 | .112 | .801 | |||
NBTH4 | .242 | .241 | .127 | .759 | ||||
LITC2 | .212 | .126 | .180 | .125 | .882 | |||
LITC1 | .289 | .192 | .219 | .822 |
Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 6 iterations.
Bảng số 20: Phân tích nhân tố EFA các thành phần ảnh hưởng đến ý định (lần 4)
Bảng số 20a: KMO and Bartlett's Test
.806 | |
Bartlett's Test of Sphericity Approx. Chi-Square | 3.483E3 |
df | 378 |
Sig. | .000 |
Bảng số 20b: Total Variance Explained
Initial | Eigenvalues | Extraction Sums of Squared Loadings | ||||
Total | % of Variance | Cumulative % | Total | % of Variance | Cumulative % | |
1 | 7.634 | 27.266 | 27.266 | 7.634 | 27.266 | 27.266 |
2 | 2.871 | 10.252 | 37.518 | 2.871 | 10.252 | 37.518 |
3 | 2.280 | 8.142 | 45.660 | 2.280 | 8.142 | 45.660 |
4 | 2.173 | 7.760 | 53.420 | 2.173 | 7.760 | 53.420 |
5 | 1.962 | 7.009 | 60.429 | 1.962 | 7.009 | 60.429 |
6 | 1.457 | 5.204 | 65.633 | 1.457 | 5.204 | 65.633 |
7 | 1.347 | 4.811 | 70.443 | 1.347 | 4.811 | 70.443 |
8 | 1.146 | 4.094 | 74.538 | 1.146 | 4.094 | 74.538 |
9 | .757 | 2.705 | 77.242 | |||
10 | .678 | 2.420 | 79.662 | |||
11 | .593 | 2.116 | 81.778 | |||
12 | .549 | 1.962 | 83.741 | |||
13 | .495 | 1.769 | 85.509 | |||
14 | .464 | 1.657 | 87.166 | |||
15 | .444 | 1.584 | 88.750 | |||
16 | .395 | 1.411 | 90.161 | |||
17 | .393 | 1.402 | 91.563 | |||
18 | .361 | 1.290 | 92.852 | |||
19 | .309 | 1.104 | 93.956 | |||
20 | .302 | 1.078 | 95.035 | |||
21 | .272 | .971 | 96.006 | |||
22 | .246 | .878 | 96.883 | |||
23 | .224 | .802 | 97.685 | |||
24 | .189 | .677 | 98.362 | |||
25 | .169 | .605 | 98.967 | |||
26 | .125 | .445 | 99.412 | |||
27 | .089 | .317 | 99.729 | |||
28 | .076 | .271 | 100.000 |
Extraction Method: Principal Component Analysis.
Bảng số 20c: Rotated Component Matrixa
Component | ||||||||
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | |
SAT2 | .889 | .146 | .137 | .119 | ||||
SAT6 | .885 | .121 | .147 | .148 | .150 | |||
SAT4 | .816 | .149 | .147 | .104 | .220 | |||
SAT1 | .801 | .220 | .151 | .138 | ||||
SAT5 | .745 | .112 | .173 | -.105 | .196 | |||
STT7 | .889 | .171 | ||||||
STT9 | .862 | .172 | ||||||
STT1 | .197 | .829 | .118 | .173 | ||||
STT5 | .135 | .809 | .113 | .158 | .109 | |||
STT4 | .211 | .659 | .298 | .141 | .115 | .198 | ||
DNNV1 | .889 | |||||||
DNNV2 | .145 | .872 | .116 | |||||
DNNV3 | .149 | .119 | .832 | .101 | .129 | |||
SDC1 | .159 | .751 | .154 | |||||
SDC5 | .289 | .701 | .157 | |||||
SDC2 | .154 | .105 | .688 | .192 | ||||
SDC4 | .187 | .166 | .598 | -.221 | .159 | |||
AHXH4 | -.110 | .928 | ||||||
AHXH2 | .897 | -.108 | ||||||
AHXH1 | -.107 | -.119 | .764 | |||||
NBTH2 | .112 | .214 | .213 | .809 | ||||
NBTH1 | .129 | .245 | .113 | .110 | .804 | |||
NBTH4 | .244 | .240 | .102 | .765 | ||||
PTHH5 | .850 | |||||||
PTHH1 | -.181 | .827 | ||||||
PTHH2 | .819 | |||||||
LITC2 | .219 | .126 | .151 | .132 | .885 | |||
LITC1 | .300 | .192 | .221 | .815 |
Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 6 iterations.
Bảng số 21: Phân tích nhân tố EFA Ý định gủi tiền
Bảng số 21a: KMO and Bartlett's Test
.720 | |
Bartlett's Test of Sphericity Approx. Chi-Square | 224.089 |
df | 3 |
Sig. | .000 |
Bảng số 21b: Total Variance Explained
Initial | Eigenvalues | Extraction Sums of Squared Loadings | ||||
Total | % of Variance | Cumulative % | Total | % of Variance | Cumulative % | |
1 | 2.226 | 74.201 | 74.201 | 2.226 | 74.201 | 74.201 |
2 | .413 | 13.762 | 87.963 | |||
3 | .361 | 12.037 | 100.000 |
Extraction Method: Principal Component Analysis.