KMO and Bartlett's Test: Leadership
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. | ,823 | |
Bartlett's Test of Sphericity | Approx. Chi-Square | 706,348 |
df | 6 | |
Sig. | ,000 | |
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Component Matrix a
Component | |
1 | |
Superiors always support employees, fair and transparent. | ,939 |
Your superiors respect and trust you. I think you | ,935 |
Your superiors have the ability to guide organize towards common development goals. | ,910 |
Your superiors are approachable and attentive. listen to staff | ,889 |
Extraction Method: Principal Component Analysis. | |
a. 1 components extracted. | |
Total Variance Explained
Component | Initial Eigenvalues | Extraction Sums of Squared Loadings | ||||
Total | % of Variance | cumulative % | Total | % of Variance | cumulative % | |
1 | 3,375 | 84,369 | 84,369 | 3,375 | 84,369 | 84,369 |
2 | ,325 | 8,125 | 92,494 | |||
3 | ,180 | 4,499 | 96,993 | |||
4 | ,120 | 3,007 | 100,000 | |||
Extraction Method: Principal Component Analysis. | ||||||
KMO and Bartlett's Test: Peer Comparison
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. | ,729 | |
Bartlett's Test of Sphericity | Approx. Chi-Square | 412,961 |
df | 3 | |
Sig. | ,000 | |
Component Matrix a
Component | |
1 | |
Colleagues share work difficulties job. | ,941 |
Competent colleagues, dedicated to the organization. | ,937 |
Your colleagues are friendly and sociable. copper. | ,882 |
Extraction Method: Principal Component Analysis. | |
a. 1 components extracted. | |
Total Variance Explained
Component | Initial Eigenvalues | Extraction Sums of Squared Loadings | ||||
Total | % of Variance | cumulative % | Total | % of Variance | cumulative % | |
1 | 2,542 | 84,723 | 84,723 | 2,542 | 84,723 | 84,723 |
2 | ,320 | 10,652 | 95,375 | |||
3 | ,139 | 4,625 | 100,000 | |||
Extraction Method: Principal Component Analysis. | ||||||
KMO and Bartlett's Test: Income
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. | ,821 | |
Bartlett's Test of Sphericity | Approx. Chi-Square | 573,164 |
df | 6 | |
Sig. | ,000 | |
Component Matrix a
Component | |
1 | |
The bank has good welfare and reward policies. | ,927 |
Income in banks is higher than the surface. common | ,908 |
Income commensurate with your ability. | ,886 |
Income covers living expenses living. | ,865 |
Extraction Method: Principal Component Analysis. | |
a. 1 components extracted. | |
Total Variance Explained
Component | Initial Eigenvalues | Extraction Sums of Squared Loadings | ||||
Total | % of Variance | cumulative % | Total | % of Variance | cumulative % | |
1 | 3,217 | 80,422 | 80,422 | 3,217 | 80,422 | 80,422 |
2 | ,363 | 9,080 | 89,501 | |||
3 | ,264 | 6,608 | 96,109 | |||
4 | ,156 | 3,891 | 100,000 | |||
Extraction Method: Principal Component Analysis. | ||||||
KMO and Bartlett's Test: Occupational Risk
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. | ,881 | |
Bartlett's Test of Sphericity | Approx. Chi-Square | 899,846 |
df | 10 | |
Sig. | ,000 | |
Component Matrix a
Component | |
1 | |
You feel unsafe when doing credit. | ,929 |
The job has many risks. hard to prevent, avoid | ,914 |
You are under pressure to take risks in the course of your work. (pressure of urgency) above, target pressure, customers…) | ,907 |
You often encounter risks in the process of working. | ,898 |
Compared to other industries, credit is riskiest profession | ,868 |
Extraction Method: Principal Component Analysis. | |
a. 1 components extracted. | |
Total Variance Explained
Component | Initial Eigenvalues | Extraction Sums of Squared Loadings | ||||
Total | % of Variance | cumulative % | Total | % of Variance | cumulative % | |
1 | 4,079 | 81,577 | 81,577 | 4,079 | 81,577 | 81,577 |
2 | ,388 | 7,767 | 89,344 | |||
3 | ,211 | 4,224 | 93,568 | |||
4 | ,185 | 3,708 | 97,275 | |||
5 | ,136 | 2,725 | 100,000 | |||
Extraction Method: Principal Component Analysis. | ||||||
KMO and Bartlett's Test: Bank Size
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. | ,767 | |
Bartlett's Test of Sphericity | Approx. Chi-Square | 604,145 |
df | 3 | |
Sig. | ,000 | |
Component Matrix a
Component | |
1 | |
You work in a bank with resources stabilizing force | ,967 |
You work at a commercial bank. good brand on the market | ,955 |
You work in a bank with good, professional working procedures and regulations. | ,949 |
Extraction Method: Principal Component Analysis. | |
a. 1 components extracted. | |
Total Variance Explained
Component | Initial Eigenvalues | Extraction Sums of Squared Loadings | ||||
Total | % of Variance | cumulative % | Total | % of Variance | cumulative % | |
1 | 2,749 | 91,618 | 91,618 | 2,749 | 91,618 | 91,618 |
2 | ,155 | 5,181 | 96,800 | |||
3 | ,096 | 3,200 | 100,000 | |||
Extraction Method: Principal Component Analysis. | ||||||
KMO and Bartlett's Test: Job Satisfaction
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. | ,615 | |
Bartlett's Test of Sphericity | Approx. Chi-Square | 696,053 |
df | 3 | |
Sig. | ,000 | |
Component Matrix a
Component | |
1 | |
You will be working long term at this bank | ,962 |
Are you satisfied with your current job? | ,960 |
I will recommend to friends and relatives do credit at this bank | ,736 |
Extraction Method: Principal Component Analysis. | |
a. 1 components extracted. | |
Total Variance Explained
Component | Initial Eigenvalues | Extraction Sums of Squared Loadings | ||||
Total | % of Variance | cumulative % | Total | % of Variance | cumulative % | |
1 | 2,390 | 79,660 | 79,660 | 2,390 | 79,660 | 79,660 |
2 | ,592 | 19,746 | 99,406 | |||
3 | ,018 | ,594 | 100,000 | |||
Extraction Method: Principal Component Analysis. | ||||||
Table 4.6: Correlation Coefficient Matrix Table
TM | BC | DT | LD | DN | TN | RR | QM | ||
TM | Pearson Correlation | 1 | ,409 ** | ,303 ** | ,375 ** | ,345 ** | ,550 ** | -,162 * | ,443 ** |
Sig. (2-tailed) | ,000 | ,000 | ,000 | ,000 | ,000 | ,025 | ,000 | ||
N | 192 | 192 | 192 | 192 | 192 | 192 | 192 | 192 | |
BC | Pearson Correlation | ,409 ** | 1 | ,324 ** | ,298 ** | ,234 ** | ,223 ** | ,312 ** | ,254 ** |
Sig. (2-tailed) | ,000 | ,000 | ,000 | ,001 | ,002 | ,000 | ,000 | ||
N | 192 | 192 | 192 | 192 | 192 | 192 | 192 | 192 | |
DT | Pearson Correlation | ,303 ** | ,324 ** | 1 | ,365 ** | ,267 ** | ,212 ** | ,015 | ,143 * |
Sig. (2-tailed) | ,000 | ,000 | ,000 | ,000 | ,003 | ,834 | ,048 | ||
N | 192 | 192 | 192 | 192 | 192 | 192 | 192 | 192 | |
LD | Pearson Correlation | ,375 ** | ,298 ** | ,365 ** | 1 | ,578 ** | ,188 ** | ,110 | ,156 * |
Sig. (2-tailed) | ,000 | ,000 | ,000 | ,000 | ,009 | ,128 | ,031 | ||
N | 192 | 192 | 192 | 192 | 192 | 192 | 192 | 192 | |
DN | Pearson Correlation | ,345 ** | ,234 ** | ,267 ** | ,578 ** | 1 | ,186 ** | ,158 * | ,130 |
Sig. (2-tailed) | ,000 | ,001 | ,000 | ,000 | ,010 | ,029 | ,072 | ||
N | 192 | 192 | 192 | 192 | 192 | 192 | 192 | 192 | |
TN | Pearson Correlation | ,550 ** | ,223 ** | ,212 ** | ,188 ** | ,186 ** | 1 | ,098 | ,603 ** |
Sig. (2-tailed) | ,000 | ,002 | ,003 | ,009 | ,010 | ,175 | ,000 | ||
N | 192 | 192 | 192 | 192 | 192 | 192 | 192 | 192 | |
RR | Pearson Correlation | -,162 * | ,312 ** | ,015 | ,110 | ,158 * | ,098 | 1 | ,251 ** |
Sig. (2-tailed) | ,025 | ,000 | ,834 | ,128 | ,029 | ,175 | ,000 | ||
N | 192 | 192 | 192 | 192 | 192 | 192 | 192 | 192 | |
QM | Pearson Correlation | ,443 ** | ,254 ** | ,143 * | ,156 * | ,130 | ,603 ** | ,251 ** | 1 |
Sig. (2-tailed) | ,000 | ,000 | ,048 | ,031 | ,072 | ,000 | ,000 | ||
N | 192 | 192 | 192 | 192 | 192 | 192 | 192 | 192 | |
**. Correlation is significant at the 0.01 level (2-tailed). | |||||||||
*. Correlation is significant at the 0.05 level (2-tailed). | |||||||||
Table 4.7: Regression model
Variable
Unstandardized coefficient | The coefficient has been standardize | t | Sig. | |||
Beta | Error standard | Beta | ||||
1 | (Constant) | -,128 | ,376 | -,341 | ,734 | |
BC | ,451 | ,077 | ,321 | 5,840 | ,000 | |
DT | ,023 | ,087 | ,014 | ,263 | ,793 | |
LD | ,196 | ,096 | ,126 | 2,044 | ,042 | |
DN | ,186 | ,067 | ,165 | 2,782 | ,006 | |
TN | ,438 | ,082 | ,328 | 5,343 | ,000 | |
RR | -,515 | ,069 | -,389 | -7,468 | ,000 | |
QM | ,260 | ,074 | ,218 | 3,518 | ,001 | |
Dependent variable: TM | ||||||
Table 4.8: Model fit test
Model
R | R 2 | R correction | Estimated standard deviation | Durbin-Watson | |
1 | , 761a | ,579 | ,563 | ,51677 | 1,404 |
ANOVA a
Model | Total average direction | df | Medium square | F | Sig. | |
1 | Regression | 67,668 | 7 | 9,667 | 36,198 | ,000 b |
Residual | 49,138 | 184 | ,267 | |||
Total | 116,806 | 191 | ||||
a. Dependent variable: TM | ||||||
b. Independent variables: QM, DN, RR, DT, BC, TN, LD | ||||||





