Duy trì nhân tài tại các ngân hàng thương mại Việt Nam - 26

PHỤ LỤC 12

KẾT QUẢ SEM MÔ HÌNH LÝ THUYẾT


Model Fit Summary CMIN

Model

NPAR

CMIN

DF

P

CMIN/DF

Default model

66

439.977

340

.000

1.294

Saturated model

406

.000

0



Independence model

28

12392.028

378

.000

32.783

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Duy trì nhân tài tại các ngân hàng thương mại Việt Nam - 26


RMR, GFI


Model

RMR

GFI

AGFI

PGFI

Default model

.030

.966

.960

.809

Saturated model

.000

1.000



Independence model

.318

.358

.310

.333


Baseline Comparisons


Model

NFI

Delta1

RFI

rho1

IFI

Delta2

TLI

rho2

CFI

Default model

.964

.961

.992

.991

.992

Saturated model

1.000


1.000


1.000

Independence model

.000

.000

.000

.000

.000


RMSEA


Model

RMSEA

LO 90

HI 90

PCLOSE

Default model

.018

.013

.023

1.000

Independence model

.190

.188

.193

.000


Minimization:

.060

Miscellaneous:

2.335

Bootstrap:

4.605

Total:

7.000


Estimates (Group number 1 - Default model) Scalar Estimates (Group number 1 - Default model) Maximum Likelihood Estimates

Regression Weights: (Group number 1 - Default model)



Estimate

S.E.

C.R.

P

Label

Dongluc

<---

Hailong

.124

.048

2.548

.011


camket

<---

Hailong

.060

.024

2.565

.010


camket

<---

Dongluc

.043

.018

2.384

.017


trungthanh

<---

Dongluc

.200

.034

5.843

***


trungthanh

<---

Hailong

.208

.045

4.613

***


trungthanh

<---

camket

.164

.081

2.031

.042


Duytri

<---

trungthanh

.063

.025

2.509

.012


Duytri

<---

Hailong

.145

.030

4.784

***


Duytri

<---

camket

.108

.054

2.021

.043


Duytri

<---

Dongluc

.050

.023

2.158

.031


Rete1

<---

Duytri

1.000





Rete2

<---

Duytri

.938

.035

26.811

***


Rete3

<---

Duytri

.853

.036

23.894

***


Rete4

<---

Duytri

.873

.036

24.525

***


Rete5

<---

Duytri

.888

.039

23.056

***


Rete6

<---

Duytri

1.025

.041

25.068

***


WoMo1

<---

Dongluc

1.000





WoMo2

<---

Dongluc

.881

.030

29.597

***


WoMo3

<---

Dongluc

.813

.032

25.053

***


WoMo4

<---

Dongluc

.871

.030

28.659

***


WoMo5

<---

Dongluc

.947

.029

32.895

***


Emlo1

<---

trungthanh

1.000





Emlo2

<---

trungthanh

.930

.034

27.571

***


Emlo3

<---

trungthanh

.831

.035

23.581

***


Emlo4

<---

trungthanh

.895

.034

26.431

***


Emlo5

<---

trungthanh

1.001

.033

30.009

***


Com4

<---

camket

1.000





Com3

<---

camket

1.074

.081

13.244

***


Com2

<---

camket

1.040

.079

13.174

***


Com1

<---

camket

1.367

.095

14.451

***


JoSa8

<---

Hailong

1.000





JoSa7

<---

Hailong

1.007

.047

21.255

***


JoSa6

<---

Hailong

.965

.047

20.651

***


JoSa5

<---

Hailong

.907

.048

18.922

***


JoSa4

<---

Hailong

.923

.047

19.750

***


JoSa3

<---

Hailong

.935

.048

19.560

***


JoSa2

<---

Hailong

1.010

.047

21.280

***


JoSa1

<---

Hailong

1.119

.047

23.949

***



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



Estimate

Dongluc

<---

Hailong

.095

Estimate

camket

<---

Hailong

.103

camket

<---

Dongluc

.095

trungthanh

<---

Dongluc

.213

trungthanh

<---

Hailong

.170

trungthanh

<---

camket

.079

Duytri

<---

trungthanh

.097

Duytri

<---

Hailong

.182

Duytri

<---

camket

.080

Duytri

<---

Dongluc

.081

Rete1

<---

Duytri

.844

Rete2

<---

Duytri

.789

Rete3

<---

Duytri

.726

Rete4

<---

Duytri

.740

Rete5

<---

Duytri

.707

Rete6

<---

Duytri

.752

WoMo1

<---

Dongluc

.902

WoMo2

<---

Dongluc

.787

WoMo3

<---

Dongluc

.711

WoMo4

<---

Dongluc

.773

WoMo5

<---

Dongluc

.837

Emlo1

<---

trungthanh

.842

Emlo2

<---

trungthanh

.801

Emlo3

<---

trungthanh

.716

Emlo4

<---

trungthanh

.777

Emlo5

<---

trungthanh

.850

Com4

<---

camket

.572

Com3

<---

camket

.608

Com2

<---

camket

.603

Com1

<---

camket

.842

JoSa8

<---

Hailong

.735

JoSa7

<---

Hailong

.736

JoSa6

<---

Hailong

.716

JoSa5

<---

Hailong

.658

JoSa4

<---

Hailong

.686

JoSa3

<---

Hailong

.680

JoSa2

<---

Hailong

.737

JoSa1

<---

Hailong

.826



Squared Multiple Correlations: (Group number 1 - Default model)



Estimate

Dongluc


.009

camket

.021

trungthanh


.094

Estimate

Duytri


.076

JoSa1

.683

JoSa2

.543

JoSa3

.462

JoSa4

.471

JoSa5

.433

JoSa6

.513

JoSa7

.542

JoSa8

.540

Com1

.710

Com2

.364

Com3

.370

Com4

.327

Emlo5

.722

Emlo4

.604

Emlo3

.513

Emlo2

.641

Emlo1

.709

WoMo5

.700

WoMo4

.597

WoMo3

.505

WoMo2

.620

WoMo1

.813

Rete6

.566

Rete5

.500

Rete4

.548

Rete3

.527

Rete2

.623

Rete1


.713



Standardized Total Effects (Group number 1 - Default model)



Hailong

Dongluc

camket

trungthanh

Duytri

Dongluc

.095

.000

.000

.000

.000

camket

.112

.095

.000

.000

.000

trungthanh

.199

.221

.079

.000

.000

Duytri

.218

.110

.087

.097

.000

JoSa1

.826

.000

.000

.000

.000

JoSa2

.737

.000

.000

.000

.000

JoSa3

.680

.000

.000

.000

.000

JoSa4

.686

.000

.000

.000

.000

JoSa5

.658

.000

.000

.000

.000

JoSa6

.716

.000

.000

.000

.000

JoSa7

.736

.000

.000

.000

.000

Hailong

Dongluc

camket

trungthanh

Duytri

JoSa8

.735

.000

.000

.000

.000

Com1

.094

.080

.842

.000

.000

Com2

.067

.057

.603

.000

.000

Com3

.068

.057

.608

.000

.000

Com4

.064

.054

.572

.000

.000

Emlo5

.169

.188

.067

.850

.000

Emlo4

.155

.172

.061

.777

.000

Emlo3

.143

.158

.057

.716

.000

Emlo2

.160

.177

.063

.801

.000

Emlo1

.168

.186

.066

.842

.000

WoMo5

.079

.837

.000

.000

.000

WoMo4

.073

.773

.000

.000

.000

WoMo3

.067

.711

.000

.000

.000

WoMo2

.075

.787

.000

.000

.000

WoMo1

.085

.902

.000

.000

.000

Rete6

.164

.083

.066

.073

.752

Rete5

.154

.078

.062

.069

.707

Rete4

.162

.081

.065

.072

.740

Rete3

.158

.080

.064

.070

.726

Rete2

.172

.087

.069

.077

.789

Rete1

.184

.093

.074

.082

.844



Standardized Direct Effects (Group number 1 - Default model)



Hailong

Dongluc

camket

trungthanh

Duytri

Dongluc

.095

.000

.000

.000

.000

camket

.103

.095

.000

.000

.000

trungthanh

.170

.213

.079

.000

.000

Duytri

.182

.081

.080

.097

.000

JoSa1

.826

.000

.000

.000

.000

JoSa2

.737

.000

.000

.000

.000

JoSa3

.680

.000

.000

.000

.000

JoSa4

.686

.000

.000

.000

.000

JoSa5

.658

.000

.000

.000

.000

JoSa6

.716

.000

.000

.000

.000

JoSa7

.736

.000

.000

.000

.000

JoSa8

.735

.000

.000

.000

.000

Com1

.000

.000

.842

.000

.000

Com2

.000

.000

.603

.000

.000

Com3

.000

.000

.608

.000

.000

Com4

.000

.000

.572

.000

.000

Emlo5

.000

.000

.000

.850

.000

Emlo4

.000

.000

.000

.777

.000

Emlo3

.000

.000

.000

.716

.000

Hailong

Dongluc

camket

trungthanh

Duytri

Emlo2

.000

.000

.000

.801

.000

Emlo1

.000

.000

.000

.842

.000

WoMo5

.000

.837

.000

.000

.000

WoMo4

.000

.773

.000

.000

.000

WoMo3

.000

.711

.000

.000

.000

WoMo2

.000

.787

.000

.000

.000

WoMo1

.000

.902

.000

.000

.000

Rete6

.000

.000

.000

.000

.752

Rete5

.000

.000

.000

.000

.707

Rete4

.000

.000

.000

.000

.740

Rete3

.000

.000

.000

.000

.726

Rete2

.000

.000

.000

.000

.789

Rete1

.000

.000

.000

.000

.844



Standardized Indirect Effects (Group number 1 - Default model)



Hailong

Dongluc

camket

trungthanh

Duytri

Dongluc

.000

.000

.000

.000

.000

camket

.009

.000

.000

.000

.000

trungthanh

.029

.007

.000

.000

.000

Duytri

.036

.029

.008

.000

.000

JoSa1

.000

.000

.000

.000

.000

JoSa2

.000

.000

.000

.000

.000

JoSa3

.000

.000

.000

.000

.000

JoSa4

.000

.000

.000

.000

.000

JoSa5

.000

.000

.000

.000

.000

JoSa6

.000

.000

.000

.000

.000

JoSa7

.000

.000

.000

.000

.000

JoSa8

.000

.000

.000

.000

.000

Com1

.094

.080

.000

.000

.000

Com2

.067

.057

.000

.000

.000

Com3

.068

.057

.000

.000

.000

Com4

.064

.054

.000

.000

.000

Emlo5

.169

.188

.067

.000

.000

Emlo4

.155

.172

.061

.000

.000

Emlo3

.143

.158

.057

.000

.000

Emlo2

.160

.177

.063

.000

.000

Emlo1

.168

.186

.066

.000

.000

WoMo5

.079

.000

.000

.000

.000

WoMo4

.073

.000

.000

.000

.000

WoMo3

.067

.000

.000

.000

.000

WoMo2

.075

.000

.000

.000

.000

WoMo1

.085

.000

.000

.000

.000

Rete6

.164

.083

.066

.073

.000

Hailong

Dongluc

camket

trungthanh

Duytri

Rete5

.154

.078

.062

.069

.000

Rete4

.162

.081

.065

.072

.000

Rete3

.158

.080

.064

.070

.000

Rete2

.172

.087

.069

.077

.000

Rete1

.184

.093

.074

.082

.000



Parameter

SE

SE-SE

Mean

Bias

SE-Bias

Dongluc

<---

Hailong

.049

.002

.123

.000

.002

camket

<---

Hailong

.025

.001

.061

.001

.001

camket

<---

Dongluc

.017

.001

.042

.000

.001

trungthanh

<---

Dongluc

.038

.001

.196

-.004

.002

trungthanh

<---

Hailong

.046

.001

.207

-.001

.002

trungthanh

<---

camket

.078

.002

.164

.000

.003

Duytri

<---

trungthanh

.026

.001

.064

.001

.001

Duytri

<---

Hailong

.030

.001

.144

-.002

.001

Duytri

<---

camket

.054

.002

.106

-.002

.002

Duytri

<---

Dongluc

.024

.001

.050

.000

.001

Rete1

<---

Duytri

.000

.000

1.000

.000

.000

Rete2

<---

Duytri

.040

.001

.939

.002

.002

Rete3

<---

Duytri

.038

.001

.855

.002

.002

Rete4

<---

Duytri

.040

.001

.875

.002

.002

Rete5

<---

Duytri

.048

.002

.888

.000

.002

Rete6

<---

Duytri

.045

.001

1.024

.000

.002

WoMo1

<---

Dongluc

.000

.000

1.000

.000

.000

WoMo2

<---

Dongluc

.035

.001

.879

-.002

.002

WoMo3

<---

Dongluc

.036

.001

.814

.001

.002

WoMo4

<---

Dongluc

.036

.001

.872

.001

.002

WoMo5

<---

Dongluc

.033

.001

.949

.002

.001

Emlo1

<---

trungthanh

.000

.000

1.000

.000

.000

Emlo2

<---

trungthanh

.036

.001

.932

.002

.002

Emlo3

<---

trungthanh

.037

.001

.830

-.001

.002

Emlo4

<---

trungthanh

.037

.001

.896

.001

.002

Emlo5

<---

trungthanh

.033

.001

1.004

.003

.001

Com4

<---

camket

.000

.000

1.000

.000

.000

Com3

<---

camket

.099

.003

1.081

.008

.004

Com2

<---

camket

.091

.003

1.044

.004

.004

Com1

<---

camket

.103

.003

1.367

.000

.005

JoSa8

<---

Hailong

.000

.000

1.000

.000

.000

JoSa7

<---

Hailong

.044

.001

1.004

-.003

.002

JoSa6

<---

Hailong

.044

.001

.965

.000

.002

JoSa5

<---

Hailong

.047

.001

.904

-.004

.002

JoSa4

<---

Hailong

.048

.002

.921

-.001

.002

SE

SE-SE

Mean

Bias

SE-Bias

JoSa3

<---

Hailong

.049

.002

.933

-.003

.002

JoSa2

<---

Hailong

.045

.001

1.007

-.003

.002

JoSa1

<---

Hailong

.044

.001

1.114

-.005

.002

Parameter

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