Extraction Method: Principal Component Analysis.
Rotated Component Matrixa
Component | |||||
1 | 2 | 3 | 4 | 5 | |
Nhansu1 | .835 | ||||
Nhansu3 | .773 | ||||
Nhansu4 | .757 | ||||
Nhansu2 | .751 | ||||
Giaca4 | .808 | ||||
Giaca1 | .772 | ||||
Giaca3 | .755 | ||||
Giaca2 | .736 | ||||
Marketing2 | .814 | ||||
Marketing3 | .780 | ||||
Marketing1 | .741 | ||||
Marketing4 | .740 | ||||
Daotaoluyenthi2 | .787 | ||||
Daotaoluyenthi1 | .753 | ||||
Daotaoluyenthi3 | .749 | ||||
Daotaoluyenthi4 | .733 | ||||
Thuonghieu1 | .800 | ||||
Thuonghieu2 | .760 | ||||
Thuonghieu4 | .758 | ||||
Thuonghieu3 | .749 |
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Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 6 iterations.
KMO and Bartlett's Test
.656 | |
Approx. Chi-Square | 86.723 |
Bartlett's Test of Sphericity df | 3 |
Sig. | .000 |
Communalities
Initial | Extraction | |
Nangluccanhtranh1 | 1.000 | .604 |
Nangluccanhtranh2 | 1.000 | .757 |
Nangluccanhtranh3 | 1.000 | .637 |
Extraction Method: Principal Component Analysis.
Total Variance Explained
Initial | Eigenvalues | Extraction Sums of Square | d Loadings | |||
Total | % of Variance | Cumulative % | Total | % of Variance | Cumulative % | |
1 | 1.998 | 66.597 | 66.597 | 1.998 | 66.597 | 66.597 |
2 | .612 | 20.394 | 86.992 | |||
3 | .390 | 13.008 | 100.000 |
Extraction Method: Principal Component Analysis.
Component Matrixa
Component | |
1 | |
Nangluccanhtranh2 Nangluccanhtranh3 Nangluccanhtranh1 | .870 .798 .777 |
Extraction Method: Principal Component Analysis.
a. 1 components extracted.
3. Phân tích hồi quy
Descriptive Statistics
Mean | Std. Deviation | N | |
NANGLUCCANHTRANH | 3.73 | .531 | 120 |
DAOTAOLUYENTHI | 3.53 | .868 | 120 |
GIACA | 3.83 | .811 | 120 |
NHANSU | 3.69 | .834 | 120 |
MARKETING | 3.80 | .896 | 120 |
THUONGHIEU | 3.86 | .871 | 120 |
Correlations
NANGLUCCA NHTRANH | DAOTAOLUYE NTHI | GIACA | NHANSU | MARKETI NG | THUONGHIE U | ||
Pearson | |||||||
Correlatio | 1 | .388** | .349** | .421** | .484** | .406** | |
NANGLUCCANHTRA | n | ||||||
NH | Sig. (2- tailed) | .000 | .000 | .000 | .000 | .000 | |
N | 120 | 120 | 120 | 120 | 120 | 120 | |
Pearson | |||||||
Correlatio | .388** | 1 | .206* | .077 | .046 | -.036 | |
n | |||||||
DAOTAOLUYENTHI | |||||||
Sig. (2- tailed) | .000 | .024 | .401 | .618 | .694 | ||
N | 120 | 120 | 120 | 120 | 120 | 120 | |
Pearson | |||||||
Correlatio | .349** | .206* | 1 | -.097 | .104 | .134 | |
n | |||||||
GIACA | |||||||
Sig. (2- tailed) | .000 | .024 | .293 | .260 | .143 | ||
N | 120 | 120 | 120 | 120 | 120 | 120 | |
Pearson | |||||||
Correlatio | .421** | .077 | -.097 | 1 | .201* | .055 | |
n | |||||||
NHANSU | |||||||
Sig. (2- tailed) | .000 | .401 | .293 | .028 | .554 | ||
N | 120 | 120 | 120 | 120 | 120 | 120 | |
Pearson | |||||||
Correlatio | .484** | .046 | .104 | .201* | 1 | .168 | |
n | |||||||
MARKETING | |||||||
Sig. (2- tailed) | .000 | .618 | .260 | .028 | .066 | ||
N | 120 | 120 | 120 | 120 | 120 | 120 | |
Pearson | |||||||
Correlatio | .406** | -.036 | .134 | .055 | .168 | 1 | |
n | |||||||
THUONGHIEU | |||||||
Sig. (2- tailed) | .000 | .694 | .143 | .554 | .066 | ||
N | 120 | 120 | 120 | 120 | 120 | 120 |
**. Correlation is significant at the 0.01 level (2-tailed).
*. Correlation is significant at the 0.05 level (2-tailed).
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 | .793a | .629 | .613 | .330 | .629 | 38.736 | 5 | 114 | .000 | 1.929 |
a. Predictors: (Constant), THUONGHIEU, DAOTAOLUYENTHI, NHANSU, MARKETING, GIACA
b. Dependent Variable: NANGLUCCANHTRANH
ANOVAa
Sum of Squares | df | Mean Square | F | Sig. | ||
Regression | 21.120 | 5 | 4.224 | 38.736 | .000b | |
1 | Residual | 12.431 | 114 | .109 | ||
Total | 33.552 | 119 |
a. Dependent Variable: NANGLUCCANHTRANH
b. Predictors: (Constant), THUONGHIEU, DAOTAOLUYENTHI, NHANLUC, MARKETING, GIACA
Coefficientsa
Unstandardized Coefficients | Standardized Coefficients | t | Sig. | Correlations | Collinearity Statistics | ||||||
B | Std. Error | Beta | Zero- order | Partial | Part | Tolerance | VIF | ||||
(Constant) | .198 | .259 | .764 | .447 | |||||||
DAOTAOLUYENTHI | .188 | .036 | .308 | 5.242 | .000 | .388 | .441 | .299 | .943 | 1.061 | |
1 | GIACA NHANLUC | .159 .215 | .039 .038 | .243 .338 | 4.066 5.735 | .000 .000 | .349 .421 | .356 .473 | .232 .327 | .913 .935 | 1.095 1.070 |
MARKETING | .192 | .035 | .324 | 5.470 | .000 | .484 | .456 | .312 | .924 | 1.082 | |
THUONGHIEU | .190 | .036 | .311 | 5.326 | .000 | .406 | .446 | .304 | .951 | 1.051 |
a. Dependent Variable: NANGLUCCANHTRANH
4. One Sample T-Test
One-Sample Statistics
N | Mean | Std. Deviation | Std. Error Mean | |
Daotaoluyenthi1 | 120 | 3.80 | 1.149 | .105 |
Daotaoluyenthi2 | 120 | 3.26 | 1.096 | .100 |
Daotaoluyenthi3 | 120 | 3.45 | 1.114 | .102 |
Daotaoluyenthi4 | 120 | 3.63 | 1.174 | .107 |
Giaca1 | 120 | 3.91 | 1.085 | .099 |
Giaca2 | 120 | 3.95 | .915 | .084 |
Giaca3 | 120 | 3.74 | 1.033 | .094 |
Giaca4 | 120 | 3.70 | 1.105 | .101 |
Nhanluc1 | 120 | 3.84 | 1.130 | .103 |
Nhanluc2 | 120 | 3.84 | .898 | .082 |
Nhanluc3 | 120 | 3.71 | 1.126 | .103 |
Nhanluc4 | 120 | 3.38 | 1.054 | .096 |
Marketing1 | 120 | 3.91 | 1.108 | .101 |
Marketing2 | 120 | 3.86 | 1.197 | .109 |
Marketing3 | 120 | 3.74 | 1.177 | .107 |
Marketing4 | 120 | 3.68 | 1.109 | .101 |
Thuonghieu1 | 120 | 4.12 | 1.078 | .098 |
Thuonghieu2 | 120 | 3.87 | 1.092 | .100 |
Thuonghieu3 | 120 | 3.71 | 1.219 | .111 |
Thuonghieu4 | 120 | 3.76 | 1.115 | .102 |
Nangluccanhtranh1 | 120 | 3.82 | .550 | .050 |
Nangluccanhtranh2 | 120 | 3.71 | .760 | .069 |
Nangluccanhtranh3 | 120 | 3.64 | .632 | .058 |
One-Sample Test
Test Value = 4 | ||||||
t | df | Sig. (2-tailed) | Mean Difference | 95% Confidence Interval of the Difference | ||
Lower | Upper | |||||
Daotaoluyenthi1 | -1.906 | 119 | .059 | -.200 | -.41 | .01 |
Daotaoluyenthi2 | -7.412 | 119 | .000 | -.742 | -.94 | -.54 |
Daotaoluyenthi3 | -5.408 | 119 | .000 | -.550 | -.75 | -.35 |
Daotaoluyenthi4 | -3.498 | 119 | .001 | -.375 | -.59 | -.16 |
Giaca1 | -.926 | 119 | .356 | -.092 | -.29 | .10 |
Giaca2 | -.598 | 119 | .551 | -.050 | -.22 | .12 |
Giaca3 | -2.739 | 119 | .007 | -.258 | -.45 | -.07 |
Giaca4 | -2.975 | 119 | .004 | -.300 | -.50 | -.10 |
Nhanluc1 | -1.535 | 119 | .128 | -.158 | -.36 | .05 |
Nhanluc2 | -1.931 | 119 | .056 | -.158 | -.32 | .00 |
Nhanluc3 | -2.838 | 119 | .005 | -.292 | -.50 | -.09 |
Nhanluc4 | -6.498 | 119 | .000 | -.625 | -.82 | -.43 |
Marketing1 | -.907 | 119 | .366 | -.092 | -.29 | .11 |
Marketing2 | -1.296 | 119 | .197 | -.142 | -.36 | .07 |
Marketing3 | -2.403 | 119 | .018 | -.258 | -.47 | -.05 |
Marketing4 | -3.211 | 119 | .002 | -.325 | -.53 | -.12 |
Thuonghieu1 | 1.185 | 119 | .238 | .117 | -.08 | .31 |
Thuonghieu2 | -1.338 | 119 | .184 | -.133 | -.33 | .06 |
Thuonghieu3 | -2.621 | 119 | .010 | -.292 | -.51 | -.07 |
Thuonghieu4 | -2.374 | 119 | .019 | -.242 | -.44 | -.04 |
Nangluccanhtranh1 | -3.653 | 119 | .000 | -.183 | -.28 | -.08 |
Nangluccanhtranh2 | -4.202 | 119 | .000 | -.292 | -.43 | -.15 |
Nangluccanhtranh3 | -6.207 | 119 | .000 | -.358 | -.47 | -.24 |