14.81 | 22.847 | .265 | .186 | .873 | |
TCCSH4 | 15.07 | 17.704 | .658 | .460 | .808 |
TCCSH7 | 15.17 | 18.713 | .682 | .532 | .803 |
TCCSH8 | 15.07 | 18.585 | .712 | .539 | .798 |
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Cronbach's Alpha | Cronbach's Alpha Based on Standardized Items | N of Items |
.873 | .875 | 5 |
Scale Mean if Item Deleted | Scale Variance if Item Deleted | Corrected Item- Total Correlation | Squared Multiple Correlation | Cronbach's Alpha if Item Deleted | |
TCCSH1 | 11.84 | 14.706 | .717 | .535 | .842 |
TCCSH2 | 11.88 | 15.048 | .688 | .512 | .849 |
TCCSH4 | 11.81 | 14.679 | .670 | .460 | .855 |
TCCSH7 | 11.91 | 15.504 | .711 | .531 | .844 |
TCCSH8 | 11.81 | 15.493 | .728 | .538 | .841 |
NHÓM 6:
Cronbach's Alpha | Cronbach's Alpha Based on Standardized Items | N of Items |
.814 | .802 | 5 |
Scale Mean if Item Deleted | Scale Variance if Item Deleted | Corrected Item- Total Correlation | Squared Multiple Correlation | Cronbach's Alpha if Item Deleted | |
MLXH1 | 12.18 | 11.035 | .694 | .560 | .750 |
MLXH2 | 11.97 | 15.380 | .141 | .032 | .887 |
MLXH3 | 12.28 | 10.447 | .724 | .598 | .739 |
MLXH4 | 12.13 | 10.795 | .762 | .621 | .730 |
MLXH5 | 12.17 | 10.244 | .730 | .620 | .736 |
Cronbach's Alpha | Cronbach's Alpha Based on Standardized Items | N of Items |
.887 | .887 | 4 |
Scale Mean if Item Deleted | Scale Variance if Item Deleted | Corrected Item- Total Correlation | Squared Multiple Correlation | Cronbach's Alpha if Item Deleted | |
MLXH1 | 8.97 | 9.349 | .721 | .560 | .866 |
MLXH3 | 9.07 | 8.789 | .753 | .598 | .854 |
MLXH4 | 8.91 | 9.232 | .770 | .615 | .849 |
MLXH5 | 8.96 | 8.543 | .769 | .619 | .848 |
NHÓM 7:
Cronbach's Alpha | Cronbach's Alpha Based on Standardized Items | N of Items |
.789 | .758 | 5 |
Scale Mean if Item Deleted | Scale Variance if Item Deleted | Corrected Item- Total Correlation | Squared Multiple Correlation | Cronbach's Alpha if Item Deleted | |
MQHNH1 | 13.92 | 9.768 | .788 | .730 | .674 |
MQHNH2 | 13.85 | 9.058 | .768 | .677 | .674 |
MQHNH3 | 13.55 | 9.926 | .761 | .620 | .684 |
MQHNH4 | 13.71 | 9.653 | .771 | .635 | .678 |
MQHNH5 | 13.97 | 16.716 | -.158 | .050 | .916 |
Cronbach's Alpha | Cronbach's Alpha Based on Standardized Items | N of Items |
.916 | .918 | 4 |
Scale Mean if Item Deleted | Scale Variance if Item Deleted | Corrected Item- Total Correlation | Squared Multiple Correlation | Cronbach's Alpha if Item Deleted | |
MQHNH1 | 10.64 | 9.724 | .848 | .723 | .879 |
MQHNH2 | 10.57 | 9.059 | .815 | .677 | .891 |
MQHNH3 | 10.27 | 10.072 | .786 | .619 | .899 |
MQHNH4 | 10.43 | 9.804 | .794 | .633 | .897 |
NHÓM 8:
Cronbach's Alpha | Cronbach's Alpha Based on Standardized Items | N of Items |
.756 | .756 | 8 |
Scale Mean if Item Deleted | Scale Variance if Item Deleted | Corrected Item- Total Correlation | Squared Multiple Correlation | Cronbach's Alpha if Item Deleted | |
LSTD1 | 23.45 | 17.853 | .677 | .622 | .690 |
LSTD2 | 23.69 | 20.340 | .275 | .380 | .763 |
LSTD3 | 23.11 | 17.378 | .683 | .602 | .686 |
LSTD4 | 23.68 | 17.428 | .642 | .590 | .692 |
LSTD5 | 23.72 | 17.864 | .599 | .563 | .702 |
LSTD6 | 23.52 | 21.623 | .172 | .372 | .777 |
LSTD7 | 23.58 | 22.933 | .025 | .013 | .801 |
LSTD8 | 23.41 | 17.751 | .649 | .577 | .693 |
Cronbach's Alpha | Cronbach's Alpha Based on Standardized Items | N of Items |
.901 | .902 | 5 |
Scale Mean if Item Deleted | Scale Variance if Item Deleted | Corrected Item- Total Correlation | Squared Multiple Correlation | Cronbach's Alpha if Item Deleted | |
LSTD1 | 13.60 | 12.150 | .778 | .621 | .875 |
LSTD3 | 13.26 | 11.878 | .757 | .598 | .879 |
LSTD4 | 13.83 | 11.693 | .749 | .590 | .880 |
LSTD5 | 13.87 | 11.829 | .744 | .554 | .882 |
LSTD8 | 13.56 | 12.066 | .744 | .575 | .881 |
PHỤ LỤC 7: KIỂM ĐỊNH EFA
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. | .899 | |
Bartlett's Test of Sphericity | Approx. Chi-Square | 9506.423 |
df | 561 | |
Sig. | .000 |
Component | 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 | 9.128 | 26.846 | 26.846 | 9.128 | 26.846 | 26.846 | 9.027 | 26.549 | 26.549 |
2 | 5.748 | 16.906 | 43.751 | 5.748 | 16.906 | 43.751 | 5.377 | 15.815 | 42.364 |
3 | 3.523 | 10.362 | 54.113 | 3.523 | 10.362 | 54.113 | 3.604 | 10.600 | 52.964 |
4 | 3.085 | 9.074 | 63.187 | 3.085 | 9.074 | 63.187 | 3.340 | 9.825 | 62.789 |
5 | 2.555 | 7.514 | 70.701 | 2.555 | 7.514 | 70.701 | 2.690 | 7.912 | 70.701 |
6 | .943 | 2.773 | 73.474 | ||||||
7 | .756 | 2.225 | 75.699 | ||||||
8 | .622 | 1.829 | 77.527 | ||||||
9 | .549 | 1.614 | 79.141 | ||||||
10 | .532 | 1.564 | 80.706 | ||||||
11 | .491 | 1.445 | 82.151 | ||||||
12 | .459 | 1.349 | 83.500 | ||||||
13 | .443 | 1.304 | 84.803 | ||||||
14 | .412 | 1.212 | 86.016 | ||||||
15 | .397 | 1.168 | 87.184 | ||||||
16 | .369 | 1.085 | 88.269 | ||||||
17 | .342 | 1.006 | 89.275 | ||||||
18 | .317 | .933 | 90.208 |
.309 | .909 | 91.117 | |||||||
20 | .293 | .863 | 91.980 | ||||||
21 | .279 | .821 | 92.801 | ||||||
22 | .250 | .735 | 93.536 | ||||||
23 | .237 | .696 | 94.232 | ||||||
24 | .231 | .681 | 94.912 | ||||||
25 | .222 | .654 | 95.567 | ||||||
26 | .215 | .632 | 96.199 | ||||||
27 | .202 | .595 | 96.794 | ||||||
28 | .198 | .583 | 97.377 | ||||||
29 | .187 | .550 | 97.927 | ||||||
30 | .163 | .479 | 98.406 | ||||||
31 | .148 | .436 | 98.842 | ||||||
32 | .135 | .396 | 99.239 | ||||||
33 | .130 | .382 | 99.621 | ||||||
34 | .129 | .379 | 100.000 | ||||||
Extraction Method: Principal Component Analysis. |
Component | |||||
1 | 2 | 3 | 4 | 5 | |
NLCSH7 | .839 | ||||
MLXH4 | .837 | ||||
MLXH1 | .828 | ||||
TCCSH7 | .819 | ||||
NLCSH6 | .815 | ||||
MLXH5 | .809 | ||||
TCCSH8 | .808 | ||||
NLCSH5 | .803 | ||||
TCCSH2 | .796 | ||||
MLXH3 | .785 |
.776 | |||||
TCCSH4 | .756 | ||||
TCCSH1 | .738 | ||||
NLCSH2 | .710 | ||||
TC5 | .810 | ||||
DN6 | .794 | .311 | |||
TC7 | .791 | ||||
TC6 | .781 | ||||
TC4 | .764 | ||||
DN4 | .752 | ||||
DN5 | .700 | ||||
DN3 | .667 | .368 | |||
LSTD8 | -.352 | .697 | |||
LSTD3 | -.390 | .686 | |||
LSTD1 | -.343 | .660 | .410 | ||
LSTD4 | .650 | -.309 | |||
LSTD5 | .576 | .463 | -.349 | ||
MQHNH3 | -.346 | .744 | |||
MQHNH1 | -.445 | .728 | |||
MQHNH2 | -.429 | .718 | |||
MQHNH4 | .326 | -.408 | .691 | ||
TSTC1 | .308 | .853 | |||
TSTC3 | .315 | .832 | |||
TSTC2 | .367 | .825 | |||
Extraction Method: Principal Component Analysis. | |||||
a. 5 components extracted. |
Component | |||||
1 | 2 | 3 | 4 | 5 | |
NLCSH7 | .848 | ||||
MLXH4 | .844 | ||||
MLXH1 | .833 | ||||
NLCSH5 | .820 | ||||
TCCSH7 | .814 | ||||
NLCSH6 | .812 | ||||
TCCSH8 | .809 | ||||
MLXH5 | .809 | ||||
TCCSH2 | .793 | ||||
MLXH3 | .785 | ||||
NLCSH3 | .782 | ||||
TCCSH1 | .764 | ||||
TCCSH4 | .755 | ||||
NLCSH2 | .726 | ||||
TC5 | .858 | ||||
DN6 | .853 | ||||
TC6 | .836 | ||||
TC7 | .831 | ||||
TC4 | .805 | ||||
DN4 | .793 | ||||
DN3 | .780 | ||||
DN5 | .734 | ||||
LSTD1 | .857 | ||||
LSTD5 | .850 | ||||
LSTD4 | .840 | ||||
LSTD3 | .830 | ||||
LSTD8 | .826 | ||||
MQHNH1 | .909 |
.895 | |||||
MQHNH4 | .873 | ||||
MQHNH3 | .873 | ||||
TSTC1 | .931 | ||||
TSTC2 | .925 | ||||
TSTC3 | .924 | ||||
Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization. | |||||
a. Rotation converged in 5 iterations. |
Component | 1 | 2 | 3 | 4 | 5 |
1 | .987 | .097 | -.103 | .073 | -.011 |
2 | -.139 | .902 | -.297 | .242 | -.143 |
3 | .076 | .409 | .784 | -.443 | .128 |
4 | -.009 | -.031 | .440 | .839 | .317 |
5 | -.017 | .095 | -.305 | -.187 | .929 |
Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization. |
COMPUTE TCDN_TB=MEAN (TC4,TC5,TC6,TC7,DN3,DN4,DN5,DN6). EXECUTE.
COMPUTE TSTC_TB=MEAN (TSTC1,TSTC2,TSTC3). EXECUTE.
COMPUTE LSTD_TB=MEAN (LSTD1,LSTD3,LSTD4,LSTD5,LSTD8). EXECUTE.
COMPUTE VXH_TB=MEAN (NLCSH2,NLCSH3,NLCSH5,NLCSH6,NLCSH7,TCCSH1,TCCSH2,TCCSH4,TCCSH7,TCCSH8,MLXH1,M LXH3,MLXH4,MLXH5).
EXECUTE.
COMPUTE MQHNH_TB=MEAN (MQHNH1,MQHNH2,MQHNH3,MQHNH4). EXECUTE.