Javaid, S., Anwar, J., Zaman, K., and Gaffor, A. 2011, Determinants of Bank Profitability in Pakistan: Internal Factor Analysis, Mediterranean Journal of Social Sciences , no. 2, pp. 59-78. Judijanto and Khmaladze 2003, Analysis of bank failure using published financial statements: The case of ...
8. Model testing results with dependent variable ILLIQ robust, cluster - industry Fixed-effects (within) regression Number of obs = 3862 Group variable: MCT Number of groups = 676 R-sq: within = 0.5411 Obs per group: min = 1 between = 0.9106 avg = 5.7 overall = 0.8525 max = 6 F(12,24) = 269.67 ...
- Principle of absolute honesty insurance: Concept: Absolute honesty in insurance business is a principle stipulated in the law on insurance business. However, the law has not defined what absolute honesty is. In fact, absolute honesty in insurance business can be understood as the parties in an ...
Table 4.11 Testing the goodness of fit of the total linear regression model body 66 Table 4.12 Regression coefficient results and multicollinearity statistics 66 Table 4.13 Test results of the difference in student satisfaction with training quality between two groups of male and female students 71 ...
KT4 Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization. a. Rotation converged in 5 iterations. 3.2.Dependent variable KMO and Bartletts Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .799 Bartletts Test of Sphericity Approx. Chi-Square 309,899 ...
The MTKS factor of the labor force is measured through 4 observed variables (DL4, DL8, DL9 and DL10) using the Cronbach Alpha index, with the reliability of the factor reaching 0.797, which is acceptable. The required confidence level and the variable-total correlation of the observed variables are ...
The third group of factors : Promotional distribution policy (PP) , has Eigenvalue = 2.835 >1, this factor includes factors related to customers perceptions of the hotels product promotion and distribution activities, including criteria such as: Distribution channels help customers ...
Rotated factor matrix a Factor 1 2 3 4 5 6 DL6 .862 DL7 .790 DL5 .682 DL4 .632 DL8 .557 DL9 .521 DL10 .479 DL2 .400 TD7 .720 TD8 .698 TD2 .696 TD3 .642 TD6 .618 TD1 .585 TD4 .569 TD5 .527 CQ3 .872 CQ2 .845 CQ1 .761 CQ4 .669 DL11 .701 DL1 .649 DL3 .562 KN2 .783 KN1 .744 KN3 .727 VC2 .831 VC3 .793 ...
Table 2.19: Results of linear regression analysis Model Coefficient not yet standardize Coefficient standardize t Sig. Multicollinearity statistics line B Error Beta Tolerance VIF 1 (Constant) 1,014 0.302 3.353 0.001 Product 0.118 0.066 0.114 1,782 0.077 0.672 1,487 Price 0.714 0.072 0.598 9,865 ...
The KMO test result gives a value of 0.565 which is within the allowable range. In addition, the Bartlett test gives a significance level of less than 0.05, so the results obtained in factor analysis can be used. Table 10. EFA rotated factor matrix of dependent variable Ingredient 1 I will ...
493/2005 and Decision 18/2007 and must notify the results of debt classification to the credit institutions participating in the syndicated loan. In case the borrower has one or several debts at the credit institution participating in the syndicated loan classified into a debt group that is not in ...
The manifestations Percentage Average DLC Rank Completely wrong Mostly wrong Mostly true Absolutely right 1. Satisfaction * 79.3 11.3 3.6 5.8 3.64 0.81 2 2. Joy * 78.2 9.8 8.0 4.0 3.62 0.80 3 3. Enjoy * 78.5 11.3 7.3 2.9 3.65 0.74 1 4. Fear 57.8 16.0 15.3 10.9 1.79 1.06 5 5. Worry 22.5 14.5 16.7 ...
