37 130 | 28.5 100.0 | 28.5 100.0 | 100.0 |
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2.2 KIỂM ĐỊNH CRONBACH’S ALPHA
Reliability Statistics
N of Items | |
.891 | 24 |
Item-Total Statistics
Scale Mean if Item Deleted | Scale Variance if Item Deleted | Corrected Item-Total Correlation | Cronbach's Alpha if Item Deleted | |
YT622 | 74.92 | 201.939 | .454 | .887 |
YT623 | 75.33 | 203.525 | .426 | .888 |
YT624 | 75.31 | 203.564 | .465 | .887 |
YT101 | 74.87 | 195.277 | .588 | .884 |
YT102 | 74.69 | 194.261 | .603 | .883 |
YT103 | 74.75 | 195.741 | .578 | .884 |
YT104 | 74.85 | 195.304 | .568 | .884 |
YT205 | 75.25 | 195.726 | .470 | .887 |
YT206 | 75.23 | 196.535 | .458 | .887 |
YT207 | 75.95 | 203.471 | .357 | .889 |
YT208 | 75.24 | 197.222 | .432 | .888 |
YT309 | 74.85 | 196.736 | .455 | .887 |
YT310 | 74.95 | 193.974 | .549 | .884 |
YT311 | 75.25 | 196.005 | .472 | .887 |
YT312 | 75.30 | 196.522 | .424 | .888 |
YT413 | 75.40 | 205.141 | .332 | .889 |
YT414 | 75.45 | 204.156 | .376 | .889 |
YT415 | 75.55 | 206.606 | .265 | .891 |
YT416 | 75.55 | 205.025 | .372 | .889 |
YT517 | 75.64 | 191.659 | .606 | .883 |
YT518 | 74.92 | 193.296 | .621 | .883 |
YT519 | 75.58 | 193.579 | .538 | .885 |
YT520 | 75.65 | 196.864 | .444 | .887 |
YT521 | 75.56 | 194.465 | .542 | .885 |
2.3 KIỂM ĐỊNH CRONBACH’S ALPHA SAU KHI LOẠI BIẾN YT415
Reliability Statistics
N of Items | |
.891 | 23 |
Item-Total Statistics
Scale Mean if Item Deleted | Scale Variance if Item Deleted | Corrected Item-Total Correlation | Cronbach's Alpha if Item Deleted | |
YT622 | 71.94 | 193.965 | .456 | .887 |
YT623 | 72.35 | 195.393 | .434 | .888 |
YT624 | 72.33 | 195.618 | .464 | .887 |
YT101 | 71.89 | 187.337 | .593 | .884 |
YT102 | 71.72 | 186.329 | .608 | .883 |
YT103 | 71.77 | 187.946 | .578 | .884 |
YT104 | 71.88 | 187.535 | .567 | .884 |
YT205 | 72.28 | 187.845 | .472 | .887 |
YT206 | 72.25 | 188.671 | .459 | .887 |
YT207 | 72.98 | 195.914 | .342 | .890 |
YT208 | 72.26 | 189.109 | .439 | .888 |
YT309 | 71.87 | 188.859 | .456 | .887 |
YT310 | 71.97 | 186.278 | .547 | .885 |
YT311 | 72.28 | 187.985 | .478 | .887 |
YT312 | 72.32 | 188.437 | .431 | .888 |
YT413 | 72.42 | 197.548 | .316 | .890 |
YT414 | 72.47 | 196.778 | .352 | .889 |
YT416 | 72.57 | 197.689 | .343 | .889 |
YT517 | 72.66 | 183.885 | .607 | .883 |
YT518 | 71.95 | 185.338 | .627 | .883 |
YT519 | 72.60 | 185.451 | .549 | .885 |
YT520 | 72.68 | 188.918 | .447 | .888 |
YT521 | 72.58 | 186.462 | .549 | .885 |
2.4 PHÂN TÍCH NHÂN TỐ CHÍNH PCA
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. | .820 | |
Bartlett's Test of Sphericity | Approx. Chi-Square | 1744.998 |
df | 253 | |
Sig. | .000 |
Total Variance Explained
Initial Eigenvalues | Extraction Sums of Squared Loadings | Rotation Sums of Squared Loadings | |||||||
Total | % of Variance | Cumulative % | Total | % of Variance | Cumulative % | Total | % of Variance | Cumulative % | |
1 | 6.963 | 30.274 | 30.274 | 6.963 | 30.274 | 30.274 | 3.294 | 14.323 | 14.323 |
2 | 2.474 | 10.756 | 41.029 | 2.474 | 10.756 | 41.029 | 2.816 | 12.243 | 26.566 |
3 | 1.851 | 8.046 | 49.075 | 1.851 | 8.046 | 49.075 | 2.690 | 11.695 | 38.261 |
4 | 1.626 | 7.068 | 56.143 | 1.626 | 7.068 | 56.143 | 2.672 | 11.619 | 49.880 |
5 | 1.474 | 6.408 | 62.551 | 1.474 | 6.408 | 62.551 | 2.127 | 9.246 | 59.126 |
6 | 1.178 | 5.123 | 67.674 | 1.178 | 5.123 | 67.674 | 1.966 | 8.548 | 67.674 |
7 | .873 | 3.794 | 71.468 | ||||||
8 | .827 | 3.598 | 75.066 | ||||||
9 | .694 | 3.018 | 78.084 | ||||||
10 | .580 | 2.523 | 80.607 | ||||||
11 | .528 | 2.294 | 82.901 | ||||||
12 | .522 | 2.269 | 85.170 | ||||||
13 | .498 | 2.167 | 87.336 | ||||||
14 | .475 | 2.064 | 89.400 | ||||||
15 | .428 | 1.859 | 91.260 | ||||||
16 | .373 | 1.621 | 92.881 | ||||||
17 | .345 | 1.501 | 94.382 | ||||||
18 | .329 | 1.431 | 95.813 | ||||||
19 | .279 | 1.214 | 97.027 | ||||||
20 | .258 | 1.123 | 98.150 | ||||||
21 | .223 | .968 | 99.118 | ||||||
22 | .198 | .860 | 99.977 | ||||||
23 | .005 | .023 | 100.000 |
Extraction Method: Principal Component Analysis.
Rotated Component Matrixa
Component | ||||||
1 | 2 | 3 | 4 | 5 | 6 | |
YT101 YT104 YT103 YT102 | .806 .794 .739 .697 | |||||
YT518 YT207 | .635 | .523 | ||||
YT206 YT205 YT208 YT309 YT310 YT311 YT312 YT520 YT521 YT519 YT517 YT416 YT414 YT413 YT624 YT623 YT622 | .924 .918 .736 | .811 .773 .751 .743 | .792 .749 .729 .703 | .786 .754 .753 | .807 .785 .623 |
Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 6 iterations.
2.5 PHÂN TÍCH NHÂN TỐ CHÍNH SAU KHI LOẠI BIẾN YT207, YT 518
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. | .802 | |
Bartlett's Test of Sphericity | Approx. Chi-Square | 1589.673 |
df | 210 | |
Sig. | .000 |
Total Variance Explained
Initial Eigenvalues | Extraction Sums of Squared Loadings | Rotation Sums of Squared Loadings | |||||||
Total | % of Variance | Cumulative % | Total | % of Variance | Cumulative % | Total | % of Variance | Cumulative % | |
1 | 6.391 | 30.432 | 30.432 | 6.391 | 30.432 | 30.432 | 2.777 | 13.225 | 13.225 |
2 | 2.317 | 11.034 | 41.466 | 2.317 | 11.034 | 41.466 | 2.661 | 12.671 | 25.896 |
3 | 1.845 | 8.784 | 50.251 | 1.845 | 8.784 | 50.251 | 2.638 | 12.562 | 38.459 |
4 | 1.574 | 7.495 | 57.745 | 1.574 | 7.495 | 57.745 | 2.552 | 12.155 | 50.613 |
5 | 1.335 | 6.356 | 64.101 | 1.335 | 6.356 | 64.101 | 2.016 | 9.598 | 60.211 |
6 | 1.161 | 5.527 | 69.628 | 1.161 | 5.527 | 69.628 | 1.977 | 9.417 | 69.628 |
7 | .832 | 3.960 | 73.588 | ||||||
8 | .706 | 3.364 | 76.951 | ||||||
9 | .598 | 2.849 | 79.800 | ||||||
10 | .542 | 2.583 | 82.383 | ||||||
11 | .521 | 2.479 | 84.862 | ||||||
12 | .492 | 2.345 | 87.207 | ||||||
13 | .482 | 2.296 | 89.503 | ||||||
14 | .439 | 2.090 | 91.592 | ||||||
15 | .364 | 1.734 | 93.326 | ||||||
16 | .359 | 1.710 | 95.036 | ||||||
17 | .329 | 1.569 | 96.605 | ||||||
18 | .277 | 1.318 | 97.923 | ||||||
19 | .223 | 1.064 | 98.986 | ||||||
20 | .208 | .989 | 99.975 | ||||||
21 | .005 | .025 | 100.000 |
Extraction Method: Principal Component Analysis.
Rotated Component Matrixa
Component | ||||||
1 | 2 | 3 | 4 | 5 | 6 | |
YT101 | .840 | |||||
YT103 | .783 | |||||
YT104 | .779 | |||||
YT102 | .712 | |||||
YT309 | .798 | |||||
YT311 | .773 | |||||
YT310 | .764 |
.749 | |||||
YT520 | .778 | ||||
YT521 | .753 | ||||
YT519 | .741 | ||||
YT517 | .722 | ||||
YT206 | .938 | ||||
YT205 | .932 | ||||
YT208 | .727 | ||||
YT416 | .812 | ||||
YT413 | .762 | ||||
YT414 | .756 | ||||
YT624 | .813 | ||||
YT623 | .785 | ||||
YT622 | .635 |
Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 6 iterations.
2.6 KIỂM ĐỊNH HỆ SỐ TƯƠNG QUAN PEARSON
Correlations
Y | X1 | X2 | X3 | X4 | X5 | X6 | ||
Y | Pearson Correlation Sig. (2-tailed) N | 1 130 | .602** .000 130 | .462** .000 130 | .573** .000 130 | .372** .000 130 | .501** .000 130 | .551** .000 130 |
X1 | Pearson Correlation | .602** | 1 | .364** | .479** | .182* | .351** | .361** |
Sig. (2-tailed) | .000 | .000 | .000 | .038 | .000 | .000 | ||
N | 130 | 130 | 130 | 130 | 130 | 130 | 130 | |
X2 | Pearson Correlation | .462** | .364** | 1 | .369** | .320** | .374** | .166 |
Sig. (2-tailed) | .000 | .000 | .000 | .000 | .000 | .059 | ||
N | 130 | 130 | 130 | 130 | 130 | 130 | 130 | |
X3 | Pearson Correlation | .573** | .479** | .369** | 1 | .229** | .474** | .296** |
Sig. (2-tailed) | .000 | .000 | .000 | .009 | .000 | .001 | ||
N | 130 | 130 | 130 | 130 | 130 | 130 | 130 | |
X4 | Pearson Correlation | .372** | .182* | .320** | .229** | 1 | .281** | .197* |
Sig. (2-tailed) | .000 | .038 | .000 | .009 | .001 | .025 | ||
N | 130 | 130 | 130 | 130 | 130 | 130 | 130 |
Pearson Correlation | .501** | .351** | .374** | .474** | .281** | 1 | .230** | |
Sig. (2-tailed) | .000 | .000 | .000 | .000 | .001 | .008 | ||
N | 130 | 130 | 130 | 130 | 130 | 130 | 130 | |
X6 | Pearson Correlation | .551** | .361** | .166 | .296** | .197* | .230** | 1 |
Sig. (2-tailed) | .000 | .000 | .059 | .001 | .025 | .008 | ||
N | 130 | 130 | 130 | 130 | 130 | 130 | 130 |
**. Correlation is significant at the 0.01 level (2-tailed).
*. Correlation is significant at the 0.05 level (2-tailed).
2.7 KIỂM ĐỊNH HỒI QUY
Model Summaryb
R | R Square | Adjusted R Square | Std. Error of the Estimate | Change Statistics | Durbin- Watson | |||||
R Square Change | F Change | df1 | df2 | Sig. F Change | ||||||
1 | .797a | .636 | .618 | .421 | .636 | 35.756 | 6 | 123 | .000 | 2.242 |
a. Predictors: (Constant), X6, X2, X4, X5, X1, X3
b. Dependent Variable: Y
ANOVAa
Sum of Squares | df | Mean Square | F | Sig. | ||
1 | Regression | 38.058 | 6 | 6.343 | 35.756 | .000b |
Residual | 21.819 | 123 | .177 | |||
Total | 59.877 | 129 |
a. Dependent Variable: Y
b. Predictors: (Constant), X6, X2, X4, X5, X1, X3
Coefficientsa
Unstandardized Coefficients | Standardized Coefficients | t | Sig. | Correlations | |||||
B | Std. Error | Beta | Zero- order | Partial | Part | ||||
1 | (Constant) | .149 | .231 | .643 | .521 | ||||
X1 | .189 | .047 | .265 | 4.001 | .000 | .602 | .339 | .218 | |
X2 | .092 | .041 | .142 | 2.252 | .026 | .462 | .199 | .123 | |
X3 | .131 | .045 | .199 | 2.928 | .004 | .573 | .255 | .159 | |
X4 | .122 | .056 | .128 | 2.175 | .032 | .372 | .192 | .118 | |
X5 | .149 | .064 | .153 | 2.350 | .020 | .501 | .207 | .128 | |
X6 | .185 | .035 | .313 | 5.249 | .000 | .551 | .428 | .286 |
a. Dependent Variable: Y