Component Matrixa
Component | ||||||
1 | 2 | 3 | 4 | 5 | 6 | |
LIND1 | .694 | .567 | .504 | |||
SDU1 | .691 | |||||
LIND2 | .661 | |||||
SDB1 | .657 | |||||
LIND3 | .649 | |||||
PTHH4 | .646 | |||||
PTHH5 | .633 | |||||
DTC3 | .617 | |||||
SDU4 | .599 | |||||
PTHH2 | .585 | |||||
SDB3 | .581 | |||||
PTHH1 | .578 | |||||
SDU2 | .552 | |||||
SDB2 | .550 | |||||
CP3 | .544 | |||||
CP2 | .543 | |||||
SDU3 | ||||||
DTC1 | .509 | .598 | ||||
DTC2 | .541 | .571 |
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Rất Không Đồng Ý 2. Không Đồng Ý 3. Trung Bình 4. Đồng Ý 5. Rất Đồng Ý -
Đo lường mức độ hài lòng của khách hàng cá nhân về dịch vụ thẻ ATM tại NHTMCP Đầu Tư Và Phát Triển Việt Nam Chi Nhánh Tây Nam - 15 -
Đo lường mức độ hài lòng của khách hàng cá nhân về dịch vụ thẻ ATM tại NHTMCP Đầu Tư Và Phát Triển Việt Nam Chi Nhánh Tây Nam - 16 -
Đo lường mức độ hài lòng của khách hàng cá nhân về dịch vụ thẻ ATM tại NHTMCP Đầu Tư Và Phát Triển Việt Nam Chi Nhánh Tây Nam - 18
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Extraction Method: Principal Component Analysis.
a. 6 components extracted.
Rotated Component Matrixa
Component | ||||||
1 | 2 | 3 | 4 | 5 | 6 | |
LIND2 | .826 | |||||
LIND3 | .799 | |||||
LIND1 | .749 | |||||
SDU1 | .550 | |||||
SDB2 | .831 | |||||
SDB3 | .768 | |||||
SDB1 | .671 | |||||
PTHH4 | .737 | |||||
PTHH5 | .737 | |||||
PTHH1 | .697 | |||||
PTHH2 | .684 | |||||
SDU3 | .830 | |||||
SDU2 | .726 | |||||
SDU4 | .678 | |||||
DTC2 | .808 | |||||
DTC1 | .781 | |||||
DTC3 | ||||||
CP2 | .751 | |||||
CP3 | .683 |
Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 12 iterations.
Component Transformation Matrix
1 | 2 | 3 | 4 | 5 | 6 | |
1 | .521 | .430 | .432 | .374 | .367 | .288 |
2 | -.601 | .577 | .486 | -.104 | -.129 | -.205 |
3 | -.164 | -.458 | .307 | .620 | .172 | -.504 |
4 | -.463 | .248 | -.560 | .484 | .308 | .285 |
5 | -.144 | -.133 | .063 | -.480 | .848 | -.095 |
6 | -.326 | -.439 | .407 | .000 | -.072 | .728 |
Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.
Lần 4
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. | .841 | |
Bartlett's Test of Sphericity | Approx. Chi-Square | 1141.862 |
df | 153 | |
Sig. | .000 | |
Communalities
Initial | Extraction | |
DTC1 | 1.000 | .747 |
DTC2 | 1.000 | .725 |
LIND1 | 1.000 | .706 |
LIND2 | 1.000 | .791 |
LIND3 | 1.000 | .739 |
SDU1 | 1.000 | .570 |
SDU2 | 1.000 | .662 |
SDU3 | 1.000 | .738 |
SDU4 | 1.000 | .660 |
PTHH1 | 1.000 | .750 |
PTHH2 | 1.000 | .715 |
PTHH4 | 1.000 | .759 |
PTHH5 | 1.000 | .784 |
SDB1 | 1.000 | .620 |
SDB2 | 1.000 | .762 |
SDB3 | 1.000 | .731 |
CP2 | 1.000 | .694 |
CP3 | 1.000 | .695 |
Extraction Method: Principal Component Analysis.
Total Variance Explained
Initial Eigenvalues | Extraction Sums of Squared Loadings | Rotation Sums of Squared Loadings | |||||||
Total | % of Varian ce | Cumulati ve % | Total | % of Varianc e | Cumula tive % | Total | % of Varianc e | Cumula tive % | |
1 | 6.450 | 35.834 | 35.834 | 6.450 | 35.834 | 35.834 | 2.835 | 15.749 | 15.749 |
2 | 1.680 | 9.335 | 45.169 | 1.680 | 9.335 | 45.169 | 2.358 | 13.098 | 28.847 |
3 | 1.403 | 7.796 | 52.965 | 1.403 | 7.796 | 52.965 | 2.319 | 12.886 | 41.733 |
4 | 1.195 | 6.642 | 59.607 | 1.195 | 6.642 | 59.607 | 2.046 | 11.364 | 53.097 |
5 | 1.099 | 6.107 | 65.714 | 1.099 | 6.107 | 65.714 | 1.670 | 9.280 | 62.377 |
6 | 1.019 | 5.660 | 71.374 | 1.019 | 5.660 | 71.374 | 1.620 | 8.998 | 71.374 |
7 | .718 | 3.988 | 75.362 | ||||||
8 | .664 | 3.690 | 79.052 | ||||||
9 | .584 | 3.243 | 82.296 | ||||||
10 | .543 | 3.018 | 85.314 | ||||||
11 | .498 | 2.766 | 88.080 | ||||||
12 | .413 | 2.292 | 90.372 | ||||||
13 | .358 | 1.987 | 92.359 | ||||||
14 | .327 | 1.815 | 94.174 | ||||||
15 | .323 | 1.794 | 95.968 | ||||||
16 | .298 | 1.655 | 97.623 | ||||||
17 | .222 | 1.236 | 98.859 | ||||||
18 | .205 | 1.141 | 100.000 |
Extraction Method: Principal Component Analysis.
Component Matrixa
Component | ||||||
1 | 2 | 3 | 4 | 5 | 6 | |
LIND1 | .696 | .571 | ||||
SDU1 | .688 | |||||
LIND2 | .666 | |||||
PTHH4 | .657 | |||||
LIND3 | .651 | |||||
SDB1 | .650 | |||||
PTHH5 | .636 | |||||
SDU4 | .603 | |||||
PTHH2 | .589 | |||||
SDB3 | .588 | |||||
PTHH1 | .576 | |||||
SDU2 | .559 | |||||
SDB2 | .554 | |||||
CP3 | .549 | |||||
CP2 | .549 | |||||
SDU3 | ||||||
DTC1 | .505 | .623 | ||||
DTC2 | .527 | .534 |
Extraction Method: Principal Component Analysis.
a. 6 components extracted.
Rotated Component Matrixa
Component | ||||||
1 | 2 | 3 | 4 | 5 | 6 | |
LIND2 | .834 | |||||
LIND3 | .801 | |||||
LIND1 | .755 | |||||
SDU1 | .556 | |||||
PTHH5 | .743 | |||||
PTHH4 | .734 | |||||
PTHH1 | .708 | |||||
PTHH2 | .684 | |||||
SDB2 | .839 | |||||
SDB3 | .788 | |||||
SDB1 | .654 | |||||
SDU3 | .830 | |||||
SDU2 | .723 | |||||
SDU4 | .683 | |||||
CP2 | .754 | |||||
CP3 | .691 | |||||
DTC1 | .820 | |||||
DTC2 | .791 |
Component Transformation Matrix
1 | 2 | 3 | 4 | 5 | 6 | |
1 | .530 | .447 | .427 | .385 | .307 | .308 |
2 | -.605 | .489 | .571 | -.102 | -.201 | -.133 |
3 | -.154 | .317 | -.461 | .628 | -.496 | .151 |
4 | -.450 | -.544 | .250 | .533 | .310 | .244 |
5 | -.238 | .163 | -.220 | -.394 | .137 | .833 |
6 | .265 | -.371 | .411 | -.087 | -.710 | .333 |
Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.
KIỂM ĐỊNH THANG ĐO BẰNG PHƯƠNG PHÁP HỒI QUY TƯƠNG QUAN BỘI
Ma trận tương quan
Correlations
SHL | LIND | PTHH | SDB | SDU | CP | DTC | ||
Pearson Correlation | 1 | .597** | .594** | .679** | .446** | .545** | .456** | |
SHL | Sig. (2-tailed) | .000 | .000 | .000 | .000 | .000 | .000 | |
N | 150 | 150 | 150 | 150 | 150 | 150 | 150 | |
LIN D | Pearson Correlation | .597** | 1 | .469** | .388** | .465** | .498** | .438** |
Sig. (2-tailed) | .000 | .000 | .000 | .000 | .000 | .000 | ||
N | 150 | 150 | 150 | 150 | 150 | 150 | 150 | |
PTH H | Pearson Correlation | .594** | .469** | 1 | .513** | .431** | .337** | .366** |
Sig. (2-tailed) | .000 | .000 | .000 | .000 | .000 | .000 | ||
N | 150 | 150 | 150 | 150 | 150 | 150 | 150 | |
SDB | Pearson Correlation | .679** | .388** | .513** | 1 | .368** | .409** | .341** |
Sig. (2-tailed) | .000 | .000 | .000 | .000 | .000 | .000 | ||
N | 150 | 150 | 150 | 150 | 150 | 150 | 150 | |
SDU | Pearson Correlation | .446** | .465** | .431** | .368** | 1 | .303** | .346** |
Sig. (2-tailed) | .000 | .000 | .000 | .000 | .000 | .000 | ||
N | 150 | 150 | 150 | 150 | 150 | 150 | 150 | |
CP | Pearson Correlation | .545** | .498** | .337** | .409** | .303** | 1 | .293** |
Sig. (2-tailed) | .000 | .000 | .000 | .000 | .000 | .000 | ||
N | 150 | 150 | 150 | 150 | 150 | 150 | 150 | |
Pearson Correlation | .456** | .438** | .366** | .341** | .346** | .293** | 1 | |
DTC | Sig. (2-tailed) | .000 | .000 | .000 | .000 | .000 | .000 | |
N | 150 | 150 | 150 | 150 | 150 | 150 | 150 |
**. Correlation is significant at the 0.01 level (2-tailed).
Phân tích hệ số tương quian
Variables Entered/Removeda
Variables Entered | Variables Removed | Method | |
1 | DTC, CP, SDU, SDB, PTHH, LINDb | . | Enter |
a. Dependent Variable: SHL
b. All requested variables entered.
Model Summaryb
R | R Square | Adjusted R Square | Std. Error of the Estimate | Durbin- Watson | |
1 | .809a | .655 | .641 | .383 | 2.169 |
a. Predictors: (Constant), DTC, CP, SDU, SDB, PTHH, LIND
b. Dependent Variable: SHL
ANOVAa
Sum of Squares | df | Mean Square | F | Sig. | ||
Regression | 39.769 | 6 | 6.628 | 45.297 | .000b | |
1 | Residual | 20.925 | 143 | .146 | ||
Total | 60.693 | 149 |
a. Dependent Variable: SHL
b. Predictors: (Constant), DTC, CP, SDU, SDB, PTHH, LIND
.....