Component | Initial Eigenvalues | Extraction Sums of Square | d Loadings | |||
Total | % of Variance | Cumulative % | Total | % of Variance | Cumulative % | |
1 | 3,046 | 60,923 | 60,923 | 3,046 | 60,923 | 60,923 |
2 | .624 | 12,483 | 73,406 | |||
3 | .554 | 11,082 | 84,488 | |||
4 | .440 | 8,796 | 93,283 | |||
5 | .336 | 6,717 | 100,000 | |||
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Extraction Method: Principal Component Analysis.
Component Matrix
Component | |
1 | |
CLTD1 | .811 |
CLTD3 | .795 |
CLTD4 | .778 |
CLTD5 | .767 |
CLTD2 | .752 |
Extraction Method:
Principal Component
Analysis.
a. 1 components extracted.
4. Correlation analysis
Correlations
CLCS | QTDH | IT | CBTD | QLRR | KSNB | CLTD | ||
CLCS | Pearson Correlation | 1 | .425** | .120** | .154** | .576** | .472** | .644** |
Sig. (2tailed) | .000 | .006 | .000 | .000 | .000 | .000 | ||
N | 518 | 518 | 518 | 518 | 518 | 518 | 518 | |
QTDH | Pearson Correlation | .425** | 1 | .151** | .190** | .390** | .254** | .537** |
Sig. (2tailed) | .000 | .001 | .000 | .000 | .000 | .000 | ||
N | 518 | 518 | 518 | 518 | 518 | 518 | 518 | |
IT | Pearson Correlation | .120** | .151** | 1 | .144** | .158** | .244** | .279** |
Sig. (2tailed) | .006 | .001 | .001 | .000 | .000 | .000 | ||
N | 518 | 518 | 518 | 518 | 518 | 518 | 518 | |
CBTD | Pearson Correlation | .154** | .190** | .144** | 1 | .228** | .128** | .301** |
Sig. (2tailed) | .000 | .000 | .001 | .000 | .004 | .000 | ||
N | 518 | 518 | 518 | 518 | 518 | 518 | 518 | |
QLRR | Pearson Correlation | .576** | .390** | .158** | .228** | 1 | .458** | .615** |
Sig. (2tailed) | .000 | .000 | .000 | .000 | .000 | .000 | ||
N | 518 | 518 | 518 | 518 | 518 | 518 | 518 | |
KSNB | Pearson Correlation | .472** | .254** | .244** | .128** | .458** | 1 | .526** |
Sig. (2tailed) | .000 | .000 | .000 | .004 | .000 | .000 | ||
N | 518 | 518 | 518 | 518 | 518 | 518 | 518 | |
CLTD | Pearson Correlation | .644** | .537** | .279** | .301** | .615** | .526** | 1 |
Sig. (2tailed) | .000 | .000 | .000 | .000 | .000 | .000 | ||
N | 518 | 518 | 518 | 518 | 518 | 518 | 518 |
**. Correlation is significant at the 0.01 level (2tailed).
5. Regression analysis
Model Summaryb
Model
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 | .786a | .618 | .614 | .52976 | .618 | 137,886 | 6 | 511 | .000 | 1,946 |
a. Predictors: (Constant), Internal Control, CBTD, IT, DHQT, Risk Management, Quality Control
b. Dependent Variable: CLTD
ANOVAa
Model
Sum of Squares | df | Mean Square | F | Sig. | ||
1 | Regression | 232,180 | 6 | 38,697 | 137,886 | .000b |
Residual | 143,408 | 511 | .281 | |||
Total | 375,589 | 517 |
a. Dependent Variable: CLTD
b. Predictors: (Constant), Internal Control, CBTD, IT, DHQT, Risk Management, Quality Control
Coefficient
Model
Unstandardized Coefficients | Standardized Coefficients | t | Sig. | Collinearity Statistics | ||||
B | Std. Error | Beta | Tolerance | VIF | ||||
1 | (Constant) CLCS | .038 .266 | .145 .032 | .296 | .263 8.204 | .792 .000 | .573 | 1,744 |
IT QTDH CBTD QLRR KSNB | .202 .088 .108 .204 .176 | .026 .023 .026 .033 .032 | .238 .110 .121 .223 .182 | 7,656 3,864 4.244 6,273 5.553 | .000 .000 .000 .000 .000 | .773 .920 .926 .590 .698 | 1,293 1,087 1,080 1,695 1,432 | |