- Nguyễn Đình Thọ, Phương pháp nghiên cứu khoa học trong kinh doanh, NXB Tài chính, Tái bản lần 2
- Hoàng Trọng, Chu Nguyễn Mộng Ngọc (2008), Phân tích dữ liệu nghiên cứu với SPSS, NXB Hồng Đức
DỊCH TIẾNG VIỆT KẾT QUẢ SPSS
1. Cronbach Alpha
Reliability Statistics | |
Cronbach's Alpha | N of Items |
.834 | 5 |
Item-Total Statistics | ||||
Scale Mean if Item Deleted | Scale Variance if Item Deleted | Corrected Item-Total Correlation | Cronbach's Alpha if Item Deleted | |
TC1 | 14.33 | 13.228 | .614 | .806 |
TC2 | 14.38 | 13.097 | .645 | .798 |
TC3 | 14.34 | 12.456 | .688 | .785 |
TC4 | 14.39 | 13.396 | .601 | .810 |
TC5 | 14.33 | 12.933 | .622 | .804 |
KMO and Bartlett's Test | ||
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. | .788 | |
Bartlett's Test of Sphericity | Approx. Chi-Square | 3837.226 |
df | 406 | |
Sig. | .000 |
Total Variance Explained | |||||||||
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 | 3.843 | 16.012 | 16.012 | 3.843 | 16.012 | 16.012 | 2.982 | 12.424 | 12.424 |
2 | 3.226 | 13.441 | 29.452 | 3.226 | 13.441 | 29.452 | 2.782 | 11.594 | 24.018 |
3 | 2.832 | 11.800 | 41.252 | 2.832 | 11.800 | 41.252 | 2.663 | 11.094 | 35.112 |
4 | 1.998 | 8.324 | 49.576 | 1.998 | 8.324 | 49.576 | 2.577 | 10.736 | 45.849 |
5 | 1.694 | 7.058 | 56.634 | 1.694 | 7.058 | 56.634 | 2.299 | 9.580 | 55.428 |
6 | 1.428 | 5.952 | 62.586 | 1.428 | 5.952 | 62.586 | 1.718 | 7.158 | 62.586 |
7 | .844 | 3.515 | 66.101 | ||||||
8 | .806 | 3.360 | 69.461 | ||||||
9 | .752 | 3.133 | 72.594 | ||||||
10 | .698 | 2.909 | 75.502 | ||||||
11 | .641 | 2.670 | 78.172 | ||||||
12 | .574 | 2.391 | 80.563 | ||||||
13 | .524 | 2.185 | 82.748 | ||||||
14 | .511 | 2.128 | 84.875 | ||||||
15 | .497 | 2.069 | 86.944 | ||||||
16 | .449 | 1.872 | 88.816 | ||||||
17 | .432 | 1.800 | 90.617 | ||||||
18 | .423 | 1.763 | 92.379 | ||||||
19 | .398 | 1.658 | 94.037 | ||||||
20 | .341 | 1.419 | 95.456 | ||||||
21 | .314 | 1.308 | 96.764 | ||||||
22 | .281 | 1.171 | 97.935 | ||||||
23 | .257 | 1.072 | 99.006 | ||||||
24 | .238 | .994 | 100.000 | ||||||
Extraction Method: Principal Component Analysis. |
Correlations | ||||||||
HL | TN | CV | LD | DN | MT | DT | ||
HL | Pearson Correlation | 1 | .439** | .353** | .551** | -.015 | .172* | .611** |
Sig. (2-tailed) | .000 | .000 | .000 | .822 | .011 | .000 | ||
N | 220 | 220 | 220 | 220 | 220 | 220 | 220 | |
TN | Pearson Correlation | .439** | 1 | -.002 | -.008 | .046 | .090 | .180** |
Sig. (2-tailed) | .000 | .978 | .908 | .493 | .184 | .007 | ||
N | 220 | 220 | 220 | 220 | 220 | 220 | 220 | |
CV | Pearson Correlation | .353** | -.002 | 1 | .013 | -.048 | .195** | .028 |
Sig. (2-tailed) | .000 | .978 | .846 | .475 | .004 | .676 | ||
N | 220 | 220 | 220 | 220 | 220 | 220 | 220 | |
LD | Pearson Correlation | .551** | -.008 | .013 | 1 | -.041 | .002 | .422** |
Sig. (2-tailed) | .000 | .908 | .846 | .542 | .978 | .000 | ||
N | 220 | 220 | 220 | 220 | 220 | 220 | 220 | |
DN | Pearson Correlation | -.015 | .046 | -.048 | -.041 | 1 | -.009 | -.012 |
Sig. (2-tailed) | .822 | .493 | .475 | .542 | .894 | .857 | ||
N | 220 | 220 | 220 | 220 | 220 | 220 | 220 | |
MT | Pearson Correlation | .172* | .090 | .195** | .002 | -.009 | 1 | -.010 |
Sig. (2-tailed) | .011 | .184 | .004 | .978 | .894 | .879 | ||
N | 220 | 220 | 220 | 220 | 220 | 220 | 220 | |
DT | Pearson Correlation | .611** | .180** | .028 | .422** | -.012 | -.010 | 1 |
Sig. (2-tailed) | .000 | .007 | .676 | .000 | .857 | .879 | ||
N | 220 | 220 | 220 | 220 | 220 | 220 | 220 | |
**. Correlation is significant at the 0.01 level (2-tailed). | ||||||||
*. Correlation is significant at the 0.05 level (2-tailed). |
Model Summaryb | |||||
Model | R | R Square | Adjusted R Square | Std. Error of the Estimate | Durbin-Watson |
1 | .856a | .733 | .725 | .28801 | 1.999 |
a. Predictors: (Constant), DT, MT, DN, CV, TN, LD | |||||
b. Dependent Variable: HL |
ANOVAa | ||||||
Model | Sum of Squares | df | Mean Square | F | Sig. | |
1 | Regression | 48.443 | 6 | 8.074 | 97.335 | .000b |
Residual | 17.668 | 213 | .083 | |||
Total | 66.111 | 219 | ||||
a. Dependent Variable: HL | ||||||
b. Predictors: (Constant), DT, MT, DN, CV, TN, LD |
Coefficientsa | ||||||||
Model | Unstandardized Coefficients | Standardized Coefficients | t | Sig. | Collinearity Statistics | |||
B | Std. Error | Beta | Tolerance | VIF | ||||
1 | (Constant) | -.197 | .195 | -1.010 | .314 | |||
TN | .268 | .026 | .368 | 10.122 | .000 | .948 | 1.055 | |
CV | .225 | .025 | .323 | 8.936 | .000 | .958 | 1.043 | |
LD | .264 | .026 | .394 | 10.031 | .000 | .814 | 1.229 | |
DN | .004 | .027 | .005 | .135 | .893 | .994 | 1.006 | |
MT | .052 | .024 | .079 | 2.164 | .032 | .953 | 1.050 | |
DT | .252 | .027 | .370 | 9.272 | .000 | .787 | 1.271 | |
a. Dependent Variable: HL |