No.

Source: Extracted from group interviews in the author's research

In my opinion, for customer managers, KPIs are just results and only a part of employees' actions towards the bank's brand, and I do not agree to use it to measure the strength of the bank's brand. row in staff. I think it won't be accurate.

As the manager of the credit department for corporate clients, I think that the completion of KPIs is not a good indicator of whether or not my employees love or stick with the bank. Credit officers are under a lot of pressure and depend a lot on their clients, sometimes there are occupational accidents brought about by clients that they themselves do not want. No matter how good a credit officer, no matter how much he loves the bank, it is difficult for him to meet such occupational accidents as KPIs.

As a manager in the indirect department, I think that it is not difficult to fulfill the KPIs assigned by my bank and so using this indicator to measure does not show the strength of the bank's brand. Where is the staff member?

Source: Extracted from group interviews in the author's research

Evaluate the measurement items of the independent variables in the model

For example, with the statement "communication in the bank is very good", I will somewhat disagree with this very word. For me, communication in my bank is fine and if I say that I would give it a 5 completely agree, or a 4 level strongly agree and to what extent I give it, you can feel it. get a “good” level of communication in my bank. However, if the statement is "communication in the bank is very good", I will hesitate to choose from 1 to 5, but I would probably choose none. There are many similar statements.

Source: from a personal interview with a credit department manager at a large bank in Hanoi

3.10 System diagram of credit institutions in Vietnam market

3.11. Number of questionnaires at Vietnamese commercial banks (preliminary study)

Frequency | Percent | Valid Percent | Cumulative Percent | |

Ban Viet | 28 | 11.3 | 11.3 | 11.3 |

SHB | twelfth | 4.9 | 4.9 | 16.2 |

eximbank | 15 | 6.1 | 6.1 | 22.3 |

PG bank | 15 | 6.1 | 6.1 | 28.3 |

Agribank | 9 | 3.6 | 3.6 | 32.0 |

Tien Phong bank | 7 | 2.8 | 2.8 | 34.8 |

Vietinbank | thirty first | 12.6 | 12.6 | 47.4 |

Lienviet bank | ten | 4.0 | 4.0 | 51.4 |

BIDV | 16 | 6.5 | 6.5 | 57.9 |

VIB | 11 | 4.5 | 4.5 | 62.3 |

Bac A | 11 | 4.5 | 4.5 | 66.8 |

Vp bank | 18 | 7.3 | 7.3 | 74.1 |

VCB | 38 | 15.4 | 15.4 | 89.5 |

HD bank | 8 | 3.2 | 3.2 | 92.7 |

ACB | 9 | 3.6 | 3.6 | 96.4 |

Maritime | 9 | 3.6 | 3.6 | 100.0 |

Total | 247 | 100.0 | 100.0 |

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APPENDIX CHAPTER 4

4.1. Number of questionnaires in Vietnamese commercial banks (official study)

Frequency | Percent | Valid Percent | Cumulative Percent | |

Ban Viet | 28 | 5.5 | 5.5 | 5.5 |

SHB | 24 | 4.7 | 4.7 | 10.2 |

eximbank | 50 | 9.8 | 9.8 | 19.9 |

PG bank | 30 | 5.9 | 5.9 | 25.8 |

Agribank | 6 | 1.2 | 1.2 | 27.0 |

Tien Phong bank | 17 | 3.3 | 3.3 | 30.3 |

Vietinbank | 48 | 9.4 | 9.4 | 39.6 |

Lienviet bank | 16 | 3.1 | 3.1 | 42.8 |

BIDV | 16 | 3.1 | 3.1 | 45.9 |

VIB | 37 | 7.2 | 7.2 | 53.1 |

Bac A | 47 | 9.2 | 9.2 | 62.3 |

Vp bank | 51 | 10.0 | 10.0 | 72.3 |

VCB | forty six | 9.0 | 9.0 | 81.3 |

HD bank | 5 | 1.0 | 1.0 | 82.2 |

ACB | 19 | 3.7 | 3.7 | 85.9 |

Maritime | 20 | 3.9 | 3.9 | 89.8 |

GP Bank | 27 | 5.3 | 5.3 | 95.1 |

Sacombank | 25 | 4.9 | 4.9 | 100.0 |

Total | 512 | 100.0 | 100.0 |

4.2. Cronbach' alpha analysis results from formal quantitative research

Scale: agreeable to understand

Reliability Statistics

Cronbach's

Alpha

N of Items | |

.862 | 6 |

Item-Total Statistics

Scale Mean if Item Deleted | Scale Variance if Item Deleted | Corrected Item- Total Correlation | Cronbach's Alpha if Item Deleted | |

CK1 | 20.20 | 13,038 | .653 | .840 |

CK2 | 19.91 | 13.556 | .666 | .838 |

CK3 | 20.05 | 13,907 | .594 | .850 |

CK4 | 20.39 | 13,620 | .619 | .846 |

CK5 | 20.34 | 13,011 | .734 | .825 |

CK6 | 20.41 | 12,649 | .673 | .837 |

Scale: I really understand the action

Reliability Statistics

Cronbach's

Alpha

N of Items | |

.892 | 7 |

Item-Total Statistics

Scale Mean if Item Deleted | Scale Variance if Item Deleted | Corrected Item- Total Correlation | Cronbach's Alpha if Item Deleted | |

HD1 | 23.68 | 19,458 | .557 | .894 |

HD2

23.62 | 19,453 | .734 | .872 | |

HD3 | 23.59 | 19,179 | .715 | .873 |

HD4 | 23.79 | 19,381 | .665 | .879 |

HD5 | 23.53 | 18,637 | .721 | .872 |

HD6 | 23.50 | 18,845 | .771 | .867 |

HD7 | 23.57 | 19,084 | .694 | .876 |

Scale: The palace is beautiful

Reliability Statistics

Cronbach's

Alpha

N of Items | |

.910 | 8 |

Item-Total Statistics

Scale Mean if Item Deleted | Scale Variance if Item Deleted | Corrected Item- Total Correlation | Cronbach's Alpha if Item Deleted | |

DHQH1 | 26.39 | 22,098 | .699 | .899 |

DHQH2 | 26.68 | 22.116 | .638 | .905 |

DHQH3 | 26.71 | 21.046 | .782 | .892 |

DHQH4 | 26.60 | 21,392 | .749 | .895 |

DHQH5 | 26.46 | 21.548 | .744 | .896 |

DHQH6 | 26.76 | 22,408 | .675 | .901 |

DHQH7 | 26.92 | 21,999 won | .678 | .901 |

DHQH8 | 26.63 | 21,443 | .709 | .899 |

Scale: Luxury

Reliability Statistics

Cronbach's

Alpha

N of Items | |

.922 | 7 |

Item-Total Statistics

Scale Mean if Item Deleted | Scale Variance if Item Deleted | Corrected Item- Total Correlation | Cronbach's Alpha if Item Deleted | |

XHH1 | 23.12 | 17,724 | .831 | .903 |

XHH2 | 23.26 | 18,229 | .641 | .922 |

XHH3 | 23.01 | 18,448 | .712 | .914 |

XHH4 | 22.99 | 17,935 | .783 | .907 |

XHH5 | 23.00 | 17.898 | .775 | .908 |

XHH6 | 23.09 | 17,666 | .742 | .911 |

XHH7 | 23.08 | 17.152 | .821 | .903 |

Scale: Tip

Reliability Statistics

Cronbach's

Alpha

N of Items | |

.924 | 6 |

Item-Total Statistics

Scale Mean if Item Deleted | Scale Variance if Item Deleted | Corrected Item- Total Correlation | Cronbach's Alpha if Item Deleted | |

TN1 | 19.88 | 15,155 | .728 | .917 |

TN2 | 19.70 | 14,390 | .814 | .906 |

TN3 | 19.73 | 14.503 | .782 | .910 |

TN4 | 19.65 | 14.344 | .732 | .918 |

TN5 | 19.71 | 14.461 | .828 | .904 |

TN6 | 19.81 | 14.484 | .807 | .906 |

Scale: Demand - good measure

Reliability Statistics

Cronbach's Alpha

N of Items | |

.779 | 9 |

Item-Total Statistics

Scale Mean if Item Deleted | Scale Variance if Item Deleted | Corrected Item- Total Correlation | Cronbach's Alpha if Item Deleted | |

NS1 | 27.29 | 19,371 | .554 | .745 |

NS2 | 27.49 | 18.019 | .680 | .724 |

NS3 | 28.40 | 23,645 | -.033 | .829 |

NS4 | 27.24 | 18,928 | .615 | .736 |

NS5 | 27.24 | 18,246 | .704 | .723 |

NS6 | 27.38 | 19,031 | .576 | .741 |

NS7 | 28.26 | 23.467 | -.008 | .823 |

NS8 | 27.33 | 18.525 | .654 | .730 |

NS9 | 27.35 | 18,468 | .644 | .731 |

Scale: Demand - application 2

Reliability Statistics

Cronbach's

Alpha

N of Items | |

.892 | 7 |

Item-Total Statistics

Scale Mean if Item Deleted | Scale Variance if Item Deleted | Corrected Item- Total Correlation | Cronbach's Alpha if Item Deleted | |

NS1 | 21.95 | 18,080 | .657 | .880 |

NS2 | 22.15 | 17,024 | .740 | .870 |

NS4 | 21.90 | 17,927 | .676 | .878 |

NS5 | 21.90 | 17,337 | .753 | .869 |

NS6 | 22.04 | 17.847 | .662 | .880 |

NS8 | 21.99 | 17,933 | .653 | .881 |

NS9 | 22.02 | 17,604 | .683 | .877 |

4.3. Exploratory factor analysis for independent variables – original EFA results

head

Total Variance Explained

Factor

Initial | Eigenvalues | Extraction Sums of Squared Loadings | Rotation Sums of Squared Loadings a | ||||

Total | % of Variance | Cumulative % | Total | % of Variance | Cumulative % | Total | |

first | 14.619 | 52.210 | 52.210 | 14,248 | 50,886 | 50,886 | 11,400 |

2 | 1,755 | 6.269 | 58,479 | 1.394 | 4,979 | 55.866 | 11,435 |

3 | 1,502 | 5,364 | 63.843 | 1.133 | 4.046 | 59,912 | 10,150 |

4 | 1,040 | 3.714 | 67.557 | .652 | 2.329 | 62.240 | 11.196 |

5 | .879 | 3.139 | 70,695 | ||||

6 | .783 | 2.797 | 73.492 | ||||

7 | .717 | 2.561 | 76.053 | ||||

8 | .601 | 2.146 | 78,199 | ||||

9 | .551 | 1,967 | 80.166 | ||||

ten | .541 | 1,934 | 82,099 |

11

.495 | 1.768 | 83.867 | ||||

twelfth | .461 | 1.646 | 85.513 | |||

13 | .434 | 1,550 | 87.063 | |||

14 | .427 | 1.525 | 88,588 | |||

15 | .369 | 1.318 | 89,907 | |||

16 | .336 | 1.201 | 91.108 | |||

17 | .313 | 1.117 | 92.225 | |||

18 | .291 | 1.039 | 93.264 | |||

19 | .277 | .988 | 94,252 | |||

20 | .249 | .889 | 95.141 | |||

21 | .238 | .848 | 95,990 yen | |||

22 | .210 | .749 | 96.738 | |||

23 | .195 | .697 | 97,435 | |||

24 | .180 | .642 | 98.077 | |||

25 | .174 | .622 | 98,699 | |||

26 | .154 | .550 | 99,249 | |||

27 | .127 | .454 | 99,703 | |||

28 | .083 | .297 | 100,000 won |

Extraction Method: Principal Axis Factoring.

a. When factors are correlated, sums of squared loadings cannot be added to obtain a total variance.

Pattern Matrix a

Fa | ctor | |||

first | 2 | 3 | 4 | |

DHQH1 | .102 | .325 | -.200 | .562 |

DHQH2 | -.029 | .014 | -.022 | .752 |

DHQH3 | -.094 | .311 | .112 | .550 |

DHQH4 | -.090 | .380 | -.050 | .599 |

DHQH5 | .057 | .323 | -.006 | .435 |

DHQH6 | .402 | .140 | .257 | .052 |

DHQH7 | .355 | .016 | .252 | .212 |

DHQH8 | .265 | .186 | .023 | .370 |

XHH1 | -.067 | .694 | .154 | .121 |

XHH2 | .017 | .180 | .198 | .438 |

XHH3 | .071 | .769 | -.052 | -.022 |

XHH4 | .093 | .638 | .021 | .109 |

XHH5 | .046 | .781 | -.080 | .066 |

XHH6 | .093 | .678 | .053 | .001 |

XHH7 | -.046 | .790 | .104 | .050 |

TN1 | .682 | .015 | .053 | .053 |

TN2 | .912 | .089 | -.045 | -.143 |

TN3 | .833 | .077 | -.004 | -.107 |

TN4 | .885 | -.119 | -.049 | .006 |

TN5 | .824 | -.023 | -.085 | .164 |

TN6 | .744 | .139 | .034 | -.020 |

NS1 | .291 | .023 | .265 | .281 |

NS2 | .010 | -.180 | .524 | .487 |

NS4 | .003 | -.131 | .618 | .263 |

NS5 | .016 | -.022 | .678 | .176 |

NS6 | .039 | -.161 | .620 | .184 |

NS8 | -.166 | .184 | .862 | -.188 |

NS9 | .087 | .213 | .817 | -.322 |

Extraction Method: Principal Axis Factoring. Rotation Method: Promax with Kaiser Normalization.

a. Rotation converged in 6 iterations.

4.4. Exploratory factor analysis for independent variables – final EFA results

Kaiser-Meyer-Olkin Measure of Sampling

Adequacy.

Approx. Chi-Square

Bartlett's Test of

.937

9385,702

253

.000

KMO and Bartlett's Test

Sphericity

DF

Sig.

Total Variance Explained

Factor

Initial | Eigenvalues | Extraction Sums of Squared Loadings | Rotation Sums of Squared Loadings a | ||||

Total | % of Variance | Cumulative % | Total | % of Variance | Cumulative % | Total | |

first | 11,934 | 51,887 | 51,887 | 11,583 | 50,361 | 50,361 | 8.865 |

2 | 1,733 | 7.535 | 59,422 | 1.366 | 5.941 | 56,302 | 9.574 |

3 | 1.449 | 6,300 | 65,722 | 1.084 | 4,711 | 61.013 | 8.231 |

4 | 1,001 | 4.353 | 70.075 | .618 | 2.685 | 63,698 | 9.066 |

5 | .797 | 3.464 | 73.539 | ||||

6 | .708 | 3.077 | 76,617 | ||||

7 | .570 | 2.478 | 79,095 | ||||

8 | .549 | 2.389 | 81,484 | ||||

9 | .493 | 2.144 | 83.628 | ||||

ten | .466 | 2.027 | 85.655 | ||||

11 | .427 | 1.854 | 87.509 | ||||

twelfth | .397 | 1.725 | 89,234 | ||||

13 | .322 | 1.401 | 90,635 | ||||

14 | .320 | 1.392 | 92,028 | ||||

15 | .281 | 1.220 | 93.247 | ||||

16 | .264 | 1.148 | 94,396 | ||||

17 | .258 | 1.124 | 95.519 | ||||

18 | .231 | 1.002 | 96.522 | ||||

19 | .210 | .911 | 97,433 | ||||

20 | .200 | .870 | 98.304 | ||||

21 | .170 | .740 | 99,044 | ||||

22 | .134 | .582 | 99,626 | ||||

23 | .086 | .374 | 100,000 won |

Extraction Method: Principal Axis Factoring.

a. When factors are correlated, sums of squared loadings cannot be added to obtain a total variance.

Pattern Matrix a

Fa | ctor | |||

first | 2 | 3 | 4 | |

DHQH1 | .117 | .196 | -.162 | .653 |

DHQH2 | .026 | -.095 | .076 | .717 |

DHQH3 | -.080 | .136 | .154 | .679 |

DHQH4 | -.063 | .222 | -.006 | .695 |

DHQH5 | .047 | .178 | .015 | .573 |

XHH1 | -.045 | .719 | .154 | .068 |

XHH3 | .060 | .730 | -.078 | .050 |

XHH4 | .091 | .690 | .036 | .045 |

XHH5 | .038 | .825 | -.091 | .039 |

XHH6 | .073 | .708 | .051 | -.014 |

XHH7

-.043 | .809 | .086 | .042 | |

TN1 | .661 | .012 | .101 | .048 |

TN2 | .879 | .112 | -.020 | -.130 |

TN3 | .810 | .066 | .018 | -.069 |

TN4 | .828 | -.082 | -.009 | .006 |

TN5 | .790 | -.041 | -.035 | .191 |

TN6 | .696 | .119 | .049 | .055 |

NS2 | .043 | -.103 | .568 | .210 |

NS4 | .054 | -.116 | .681 | .137 |

NS5 | .057 | .002 | .748 | .048 |

NS6 | .075 | -.110 | .674 | .049 |

NS8 | -.153 | .152 | .800 | -.105 |

NS9 | .064 | .189 | .727 | -187 |

Extraction Method: Principal Axis Factoring. Rotation Method: Promax with Kaiser Normalization.

a. Rotation converged in 6 iterations.

4.5. Exploratory factor analysis for dependent variables

KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy.

.905 | |

Approx. Chi-Square | 3822.525 |

Bartlett's Test of Sphericity df | 78 |

Sig. | .000 |

Total Variance Explained

Factor

Initial | Eigenvalues | Extraction Sums of Squared Loadings | Rotation Sums of Squared Loadings a | ||||

Total | % of Variance | Cumulative % | Total | % of Variance | Cumulative % | Total | |

first | 6.718 | 51,676 | 51,676 | 6.273 | 48.252 | 48.252 | 5.764 |

2 | 1.234 | 9.489 | 61.165 | .796 | 6.120 | 54.373 | 5.175 |

3 | .839 | 6,450 | 67,615 | ||||

4 | .786 | 6.043 | 73,658 | ||||

5 | .601 | 4.626 | 78.284 | ||||

6 | .544 | 4.181 | 82,465 | ||||

7 | .473 | 3,640 | 86.105 | ||||

8 | .436 | 3.355 | 89,460 | ||||

9 | .342 | 2,629 | 92,089 | ||||

ten | .330 | 2.539 | 94.628 | ||||

11 | .247 | 1.897 | 96.525 | ||||

twelfth | .230 | 1,773 | 98,298 | ||||

13 | .221 | 1,702 | 100,000 won |

Extraction Method: Principal Axis Factoring.

a. When factors are correlated, sums of squared loadings cannot be added to obtain a total variance.

Pattern Matrix a

Fa | ctor | |

first | 2 | |

CK1 | -.172 | .858 |

CK2 | .025 | .694 |

CK3 | .248 | .559 |

CK4 | .238 | .590 |

CK5 | .040 | .779 |

CK6 | .190 | .600 |

HD1 | .519 | .111 |

HD2 | .699 | .085 |

HD3 | .688 | .092 |

HD4

.731 | -.035 | |

HD5 | .778 | -.013 |

HD6 | .816 | .032 |

HD7 | .807 | -.062 |

Extraction Method: Principal Axis Factoring.

Rotation Method: Promax with Kaiser Normalization.

a. Rotation converged in 3 iterations.

4.6. Normalized weight table CFA concept of internal brand power

Standardized Regression Weights: (Group number 1 - Default model)

Estimate | |||

var1.1 | <--- | camket | .715 |

var1.2 | <--- | camket | .727 |

var1.3 | <--- | camket | .682 |

var1.4 | <--- | camket | .686 |

var1.5 | <--- | camket | .779 |

var1.6 | <--- | camket | .767 |

var1.7 | <--- | action | .648 |

var1.8 | <--- | action | .765 |

var1.9 | <--- | action | .773 |

var1.10 | <--- | action | .724 |

var1.11 | <--- | action | .795 |

var1.12 | <--- | action | .830 |

var1.13 | <--- | action | .732 |

4.7 Unnormalized weight table CFA concept of internal brand strength

Regression Weights: (Group number 1 - Default model)

Estimate | SE | CR | P | Label | |

var1.1 <--- camket | 1,000 yen | ||||

var1.2 <--- camket | .926 | .059 | 15.580 | *** | |

var1.3 <--- camket | .901 | .062 | 14.621 | *** | |

var1.4 <--- camket | .856 | .058 | 14,713 | *** | |

var1.5 <--- camket | .997 | .060 | 16,659 | *** | |

var1.6 <--- camket | 1.127 | .069 | 16.413 | *** | |

var1.7 <--- action | 1,000 yen | ||||

var1.8 <--- action | 1.018 | .068 | 14,917 | *** | |

var1.9 <--- action | 1.092 | .073 | 15,049 | *** | |

var1.10 <--- action | 1.021 | .072 | 14,268 | *** | |

var1.11 <--- action | 1.224 | .080 | 15.379 | *** | |

var1.12 <--- action | 1.186 | .075 | 15,904 | *** | |

var1.13 <--- action | 1.066 | .074 | 14,399 | *** |

4.8 Correlation coefficient between the component concepts of internal brand strength

Correlations: (Group number 1 - Default model)

Estimate | |

camket <--> action | .885 |

4.9. Critical Model Normalized Weight Table

Standardized Regression Weights: (Group number 1 - Default model)

Estimate | |||

var4.9 | <--- | Nhucaudapung | .736 |

var4.8 | <--- | Nhucaudapung | .724 |

var4.6 | <--- | Nhucaudapung | .724 |

var4.5 | <--- | Nhucaudapung | .813 |

var4.4 | <--- | Nhucaudapung | .755 |

var4.2 | <--- | Nhucaudapung | .781 |

var1.1 | <--- | camket | .706 |

var1.2 | <--- | camket | .727 |

var1.3 | <--- | camket | .689 |

var1.4 | <--- | camket | .686 |

var1.5 | <--- | camket | .776 |

var1.6 | <--- | camket | .771 |

var3.6 | <--- | tiephan | .837 |

var3.5 | <--- | tiephan | .869 |

var3.4 | <--- | tiephan | .738 |

var3.3 | <--- | tiephan | .791 |

var3.2 | <--- | tiephan | .805 |

var3.1 | <--- | tiephan | .697 |

var2.15 | <--- | Socialization | .810 |

var2.14 | <--- | Socialization | .799 |

var2.13 | <--- | Socialization | .808 |

var2.12 | <--- | Socialization | .830 |

var2.11 | <--- | Socialization | .741 |

var2.9 | <--- | Socialization | .825 |

var1.7 | <--- | action | .675 |

var1.8 | <--- | action | .789 |

var1.9 | <--- | action | .769 |

var1.10 | <--- | action | .713 |

var1.11 | <--- | action | .788 |

var1.12 | <--- | action | .816 |

var1.13 | <--- | action | .721 |

var2.5 | <--- | DHQH | .759 |

var2.4 | <--- | DHQH | .832 |

var2.3 | <--- | DHQH | .838 |

var2.2 | <--- | DHQH | .674 |

Estimate | |

var2.1 <--- DHQH | .734 |

4.10. Unnormalized weight table of critical model

Regression Weights: (Group number 1 - Default model)

Estimate | SE | CR | P | Label | |

var4.9 <--- nucaudapung | 1,000 yen | ||||

var4.8 <--- Nhucaudapung | .946 | .058 | 16.218 | *** | |

var4.6 <--- Nhucaudapung | .954 | .059 | 16,229 | *** | |

var4.5 <--- Nhucaudapung | 1.071 | .058 | 18,370 | *** | |

var4.4 <--- Nhucaudapung | .985 | .058 | 16,967 | *** | |

var4.2 <--- Nhucaudapung | 1.157 | .066 | 17,596 | *** | |

var1.1 <--- camket | 1,000 yen | ||||

var1.2 <--- camket | .937 | .060 | 15.522 | *** | |

var1.3 <--- camket | .921 | .063 | 14,726 | *** | |

var1.4 <--- camket | .865 | .059 | 14.665 | *** | |

var1.5 <--- camket | 1.007 | .061 | 16.538 | *** | |

var1.6 <--- camket | 1.148 | .070 | 16,432 | *** | |

var3.6 <--- tiepnhan | 1,000 yen | ||||

var3.5 <--- tiepnhan | 1.036 | .042 | 24.698 | *** | |

var3.4 <--- tiepnhan | .934 | .049 | 19,245 | *** | |

var3.3 <--- tiepnhan | .945 | .044 | 21.287 | *** | |

var3.2 <--- tiepnhan | .953 | .044 | 21,882 | *** | |

var3.1 <--- tiepnhan | .796 | .045 | 17.776 | *** | |

var2.15 <--- XHH | 1,000 yen | ||||

var2.14 <--- XHH | .971 | .047 | 20,779 | *** | |

var2.13 <--- XHH | .954 | .045 | 21.129 | *** | |

var2.12 <--- XHH | .959 | .044 | 21,953 | *** | |

var2.11 <--- XHH | .842 | .045 | 18,775 | *** | |

var2.9 <--- XHH | .943 | .043 | 21,763 | *** | |

var1.7 <--- action | 1,000 yen | ||||

var1.8 <--- action | 1,008 | .062 | 16,339 | *** | |

var1.9 <--- action | 1.042 | .065 | 15,974 | *** | |

var1.10 <--- action | .965 | .065 | 14,927 | *** | |

var1.11 <--- action | 1.165 | .071 | 16,326 | *** | |

var1.12 <--- action | 1.119 | .066 | 16.832 | *** | |

var1.13 <--- action | 1,008 | .067 | 15,081 | *** | |

var2.5 <--- DHQH | 1,000 yen | ||||

var2.4 <--- DHQH | 1.111 | .056 | 19,712 | *** | |

var2.3 <--- DHQH | 1.131 | .057 | 19,879 | *** | |

var2.2 <--- DHQH | .913 | .059 | 15.508 | *** | |

var2.1 <--- DHQH | .918 | .054 | 17.055 | *** |