The influence of corporate social responsibility on the loyalty of customers depositing money at Vietnamese commercial banks

ANNEX 6: ANALYSIS OF CRONBACH'S ALPHA RANGE RANGES

6.1 CSR scale:

Reliability Statistics

Cronbach's Alpha

N of Items

.935

Maybe you are interested!

Analysis Of Multi-Group Model According To Customer Characteristics
Suggestions On Implementing Social Responsibility Customer-Oriented Approach
The influence of corporate social responsibility on the loyalty of customers depositing money at Vietnamese commercial banks - 8
The influence of corporate social responsibility on the loyalty of customers depositing money at Vietnamese commercial banks - 10

Item-Total Statistics

	Scale Mean if Item Deleted	Scale Variance if Item Deleted	Corrected Item- Total Correlation	Cronbach's Alpha if Item Deleted
TN1	14.326	17,634	.806	.923
TN2	14.314	17,050	.823	.920
TN3	14,360	16,589	.857	.914
TN4	14.326	17,336	.837	.917
TN5	14.403	17,790	.807	.923

6.2 Customer identification scale

Reliability Statistics

Cronbach's Alpha	N of Items
.913	6

Item-Total Statistics

	Scale Mean if Item Deleted	Scale Variance if Item Deleted	Corrected Item- Total Correlation	Cronbach's Alpha if Item Deleted
ND1	16,640	20,197	.630	.915
ND2	16,627	19,843	.699	.906
ND3	16.576	17,973	.828	.887
ND4	16.572	18.033	.804	.891
ND5	16,589	18,167	.805	.891
ND6	16.572	18,671	.775	.895

6.3 Customer's emotional scale

Reliability Statistics

Cronbach's Alpha	N of Items
.888	4

Item-Total Statistics

	Scale Mean if Item Deleted	Scale Variance if Item Deleted	Corrected Item- Total Correlation	Cronbach's Alpha if Item Deleted
CX1	10.538	7.509	.718	.870
CX2	10.513	6,864	.749	.858
CX3	10,407	6,642	.780	.845
CX4	10,441	6.716	.774	.848

6.4 Customer confidence scale

Reliability Statistics

Cronbach's Alpha	N of Items
.895	5

Item-Total Statistics

	Scale Mean if Item Deleted	Scale Variance if Item Deleted	Corrected Item- Total Correlation	Cronbach's Alpha if Item Deleted
NT1	14,720	12,117	.690	.883
NT2	14,797	11,678	.702	.881
NT3	14,712	10,963	.775	.864
NT4	14.648	11,199	.771	.865
NT5	14,581	11,096	.772	.865

6.5 Customer satisfaction scale

Reliability Statistics

Cronbach's Alpha	N of Items
.819	4

Item-Total Statistics

	Scale Mean if Item Deleted	Scale Variance if Item Deleted	Corrected Item- Total Correlation	Cronbach's Alpha if Item Deleted
HL1	11,085	5.057	.625	.780
HL2	11,000 won	4,630	.661	.762
HL3	11.072	4,739	.660	.763
HL4	10,966	4.671	.619	.783

6.6 Customer loyalty scale

Reliability Statistics

Cronbach's Alpha	N of Items
.877	4

Item-Total Statistics

	Scale Mean if Item Deleted	Scale Variance if Item Deleted	Corrected Item- Total Correlation	Cronbach's Alpha if Item Deleted
TT1	10,669	7,201	.694	.859
TT2	10,725	6.771	.676	.866
TT3	10,695	6.153	.800	.816
TT4	10,712	6,189	.780	.824

APPENDIX 7: DISCOVERY FACTOR ANALYSIS

7.1 KMO . test results

KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy.		.934
Bartlett's Test of Sphericity	Approx. Chi-Square	4588,670
	DF	378
	Sig.	.000

Communalities

	Initial	Extraction
TN1	.692	.694
TN2	.724	.737
TN3	.771	.806
TN4	.745	.775
TN5	.719	.724
ND1	.497	.440
ND2	.562	.546
ND3	.739	.777
ND4	.693	.722
ND5	.735	.736
ND6	.673	.687
CX1	.581	.616
CX2	.607	.644
CX3	.667	.710
CX4	.647	.736
NT1	.543	.542
NT2	.553	.555
NT3	.658	.697
NT4	.659	.698
NT5	.673	.706
HL1	.475	.516
HL2	.497	.572
HL3	.491	.580
HL4	.516	.539
TT1	.568	.570
TT2	.546	.538
TT3	.696	.843
TT4	.699	.704

Extraction Method: Principal Axis Factoring.

Total Variance Explained

Factor	Initial Eigenvalues			Extraction Sums of Squared Loadings			Rotation Sums of Squared Loadings a
Factor	Total	% of Variance	Cumulative %	Total	% of Variance	Cumulative %	Total
first	11,642	41.580	41.580	11.316	40.415	40.415	7.556
2	2.873	10,260	51,840	2.540	9,070	49.485	6,550
3	1,773	6,330	58,171	1.427	5.097	54.582	8,872
4	1.537	5.488	63,659	1.164	4.158	58,740	6.982
5	1.424	5.087	68,745	1.094	3,907	62,647	6.342
6	1.157	4.133	72.879	.871	3.111	65,758	7,906
7	.683	2.441	75.319
8	.593	2.119	77,438
9	.543	1,940	79,378
ten	.513	1.832	81.211
11	.481	1,720	82,930
twelfth	.456	1.628	84.558
13	.414	1,480	86.038
14	.382	1.366	87,404
15	.364	1,300	88,704
16	.348	1.243	89,947
17	.332	1.186	91.133
18	.309	1.104	92.237
19	.292	1.045	93,281
20	.271	.967	94,249
21	.260	.927	95.176
22	.245	.874	96.050
23	.228	.815	96.864
24	.212	.755	97,620
25	.196	.701	98,321
26	.180	.645	98,966
27	.160	.572	99,538
28	.129	.462	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.

7.2 Rotated Factor Matrix

Pattern Matrix a

	Factor
	first	2	3	4	5	6
ND3	.907	-.011	-.049	-.053	-.044	.091
ND5	.865	-.004	.081	.038	-.057	-.095
ND4	.859	-.050	-.002	-.008	-.007	.023
ND6	.780	.005	-.066	.135	.018	.021
ND2	.721	.013	.031	-.115	.072	.008
ND1	.637	.039	.054	.004	.033	-.076
NT5	-.007	.852	-.044	.109	-.031	-.058
NT3	-.055	.845	-.003	-.005	.040	-.016
NT4	.032	.826	-.062	-.050	.055	.052
NT2	.006	.742	.073	-.085	-.023	.021
NT1	.014	.718	.079	.034	-.078	-.023
TN3	-.040	-.011	.905	.022	.022	-.002
TN4	.014	-.013	.860	-.048	-.030	.089
TN2	.015	-.015	.822	.055	.056	-.043
TN5	.101	.095	.779	-.038	.011	-.046
TN1	.033	.001	.770	.035	-.024	.050
CX4	-.110	.036	.059	.874	-.064	.012
CX3	-.012	-.018	-.059	.816	.078	.053
CX2	.039	-.034	.056	.812	-.049	-.033
CX1	.089	.025	-.050	.714	.079	.000
HL3	-.012	-.042	.005	-.076	.793	.047
HL2	-.028	-.069	.017	.076	.789	-.079
HL4	.036	.170	-112	-.008	.642	.080
HL1	.039	-.023	.148	.034	.620	-.038
TT3	-.039	-.062	-.052	-.033	-.010	1.025
TT4	-.013	.039	.093	.047	-.020	.742
TT1	.096	.049	.042	.097	-.047	.605
TT2	.007	.033	.101	-.008	.094	.587

Extraction Method: Principal Axis Factoring.

Rotation Method: Promax with Kaiser Normalization.

a. Rotation converged in 6 iterations.

Factor Correlation Matrix

Factor	first	2	3	4	5	6
first	1,000 yen	.305	.619	.435	.473	.535
2	.305	1,000 yen	.515	.489	.452	.536
3	.619	.515	1,000 yen	.558	.535	.660
4	.435	.489	.558	1,000 yen	.509	.580
5	.473	.452	.535	.509	1,000 yen	.539
6	.535	.536	.660	.580	.539	1,000 yen

Extraction Method: Principal Axis Factoring.

Rotation Method: Promax with Kaiser Normalization.

APPENDIX 8: RESULTS OF THE FIRST TIME FACTOR ANALYSIS

Model Fit Summary CMIN

Model	NPAR	CMIN	DF	P	CMIN/DF
Default model	71	413,912	335	.002	1.236
Saturation model	406	.000	0
Independence model	28	4796.163	378	.000	12,688

RMR, GFI

Model	RMR	GFI	AGFI	PGFI
Default model	.039	.892	.869	.736
Saturation model	.000	1,000 yen
Independence model	.422	.180	.119	.167

Baseline Comparisons

Model	NFI Delta1	RFI rho1	IFI Delta2	TLI rho2	CFI
Default model	.914	.903	.982	.980	.982
Saturation model	1,000 yen		1,000 yen		1,000 yen
Independence model	.000	.000	.000	.000	.000

Parsimony-Adjusted Measures

Model	PRATIO	PNFI	PCFI
Default model	.886	.810	.870
Saturation model	.000	.000	.000
Independence model	1,000 yen	.000	.000

NCP

Model	NCP	LO 90	HI 90
Default model	78,912	31,330	134.674
Saturation model	.000	.000	.000
Independence model	4418,163	4198.422	4645.185

FMIN

Model	FMIN	F0	LO 90	HI 90
Default model	1,761	.336	.133	.573
Saturation model	.000	.000	.000	.000
Independence model	20,409	18,801	17.866	19,767

RMSEA

Model	RMSEA	LO 90	HI 90	PCLOSE
Default model	.032	.020	.041	1,000 yen
Independence model	.223	.217	.229	.000

AIC

Model	AIC	BCC	BIC	CAIC
Default model	555,912	575,903	801.844	872.844
Saturation model	812,000 won	926,311	2218,316	2624,316
Independence model	4852.163	4860.047	4949.151	4977.151

ECVI

Model	ECVI	LO 90	HI 90	MECVI
Default model	2.366	2.163	2.603	2.451
Saturation model	3.455	3.455	3.455	3,942
Independence model	20,648	19,712	21,614	20,681

HOELTER

Model		HOELTER .05	HOELTER .01
Default model		215	227
Independence model		21	22
Minimization:	.025
Miscellaneous:	.572
Bootstrap:	.000
Total:	.597

Covariances: (Group number 1 - Default model)

			MIND	Par Change
e27	<-->	TRUNG THANH	4.668	.040
e24	<-->	NIEMTIN	8,697	.078
e23	<-->	e28	5.576	-.061
e20	<-->	NHANDANG	4,721	-.047
e15	<-->	e19	4.210	-.052
e15	<-->	e16	6.612	.064
e14	<-->	e28	6,550	.063
e12	<-->	e13	10,978	.095
e11	<-->	CAMXUC	4.110	.048
e11	<-->	e20	8.401	.077
e10	<-->	e24	5.792	.068
e7	<-->	e16	6.207	.069
e7	<-->	e8	7,519	.083
e6	<-->	CAMXUC	6,101	.059
e5	<-->	e24	6.086	-.069
e5	<-->	e22	4,370	.056
e4	<-->	e14	5.854	-.062
e3	<-->	e27	10.245	.076
e3	<-->	e13	5.119	-.059
e2	<-->	e23	7,031	.077
e2	<-->	e5	5.732	-.063
e2	<-->	e3	4.787	.057
e1	<-->	e24	11,466	.117
e1	<-->	e18	6.686	.085
e1	<-->	e2	5.761	.080

Estimates (Group number 1 - Default model)

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

Regression Weights: (Group number 1 - Default model)

			Estimate	SE	CR	P	Label
ND1	<---	NHANDANG	1,000 yen
ND2	<---	NHANDANG	1.084	.111	9,771	***
ND3	<---	NHANDANG	1.476	.130	11,336	***
ND4	<---	NHANDANG	1.460	.131	11.112	***
ND5	<---	NHANDANG	1.456	.130	11.236	***
ND6	<---	NHANDANG	1.343	.124	10,858	***
NT1	<---	NIEMTIN	1,000 yen
NT2	<---	NIEMTIN	1.088	.100	10,932	***
NT3	<---	NIEMTIN	1.296	.105	12,360	***
NT4	<---	NIEMTIN	1.256	.101	12,416	***
NT5	<---	NIEMTIN	1.273	.103	12,376	***
TN1	<---	CSR	1,000 yen
TN2	<---	CSR	1.074	.065	16,500	***
TN3	<---	CSR	1.147	.064	17,798	***
TN4	<---	CSR	1,050	.061	17,161	***
TN5	<---	CSR	.989	.061	16,224	***
CX1	<---	CAMXUC	1,000 yen
CX2	<---	CAMXUC	1.155	.089	12,948	***
CX3	<---	CAMXUC	1.241	.090	13,748	***
CX4	<---	CAMXUC	1.210	.089	13.525	***
HL1	<---	HAILONG	1,000 yen
HL2	<---	HAILONG	1.114	.110	10.111	***
HL3	<---	HAILONG	1.073	.107	10.079	***
HL4	<---	HAILONG	1.119	.113	9,920	***
TT1	<---	TRUNG THANH	1,000 yen
TT2	<---	TRUNG THANH	1.093	.095	11,489	***
TT3	<---	TRUNG THANH	1.301	.096	13.522	***
TT4	<---	TRUNG THANH	1.327	.097	13,677	***

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

			Estimate
ND1	<---	NHANDANG	.651
ND2	<---	NHANDANG	.724
ND3	<---	NHANDANG	.872
ND4	<---	NHANDANG	.849
ND5	<---	NHANDANG	.862
ND6	<---	NHANDANG	.824
NT1	<---	NIEMTIN	.727
NT2	<---	NIEMTIN	.737
NT3	<---	NIEMTIN	.833
NT4	<---	NIEMTIN	.837
NT5	<---	NIEMTIN	.834

TN1	<---	CSR	.838
TN2	<---	CSR	.854
TN3	<---	CSR	.894
TN4	<---	CSR	.875
TN5	<---	CSR	.846
CX1	<---	CAMXUC	.781
CX2	<---	CAMXUC	.803
CX3	<---	CAMXUC	.846
CX4	<---	CAMXUC	.833
HL1	<---	HAILONG	.731
HL2	<---	HAILONG	.735
HL3	<---	HAILONG	.732
HL4	<---	HAILONG	.719
TT1	<---	TRUNG THANH	.762
TT2	<---	TRUNG THANH	.738
TT3	<---	TRUNG THANH	.853
TT4	<---	TRUNG THANH	.863

Covariances: (Group number 1 - Default model)

			Estimate	SE	CR	P	Label
NHANDANG	<-->	NIEMTIN	.122	.033	3,663	***
NHANDANG	<-->	CSR	.377	.059	6,449	***
NHANDANG	<-->	CAMXUC	.194	.039	5.007	***
NHANDANG	<-->	HAILONG	.182	.035	5.158	***
NHANDANG	<-->	TRUNG THANH	.232	.040	5.772	***
NIEMTIN	<-->	CSR	.327	.055	5,942	***
NIEMTIN	<-->	CAMXUC	.233	.042	5.574	***
NIEMTIN	<-->	HAILONG	.185	.036	5.135	***
NIEMTIN	<-->	TRUNG THANH	.244	.041	5,922	***
CSR	<-->	CAMXUC	.384	.059	6,480	***
CSR	<-->	HAILONG	.324	.052	6,180	***
CSR	<-->	TRUNG THANH	.447	.062	7.253	***
CAMXUC	<-->	HAILONG	.227	.039	5.739	***
CAMXUC	<-->	TRUNG THANH	.291	.045	6.486	***
HAILONG	<-->	TRUNG THANH	.228	.038	5.928	***

Correlations: (Group number 1 - Default model)

			Estimate
NHANDANG	<-->	NIEMTIN	.290
NHANDANG	<-->	CSR	.633
NHANDANG	<-->	CAMXUC	.436
NHANDANG	<-->	HAILONG	.486
NHANDANG	<-->	TRUNG THANH	.552
NIEMTIN	<-->	CSR	.520
NIEMTIN	<-->	CAMXUC	.496
NIEMTIN	<-->	HAILONG	.469
NIEMTIN	<-->	TRUNG THANH	.550
CSR	<-->	CAMXUC	.577

CSR	<-->	HAILONG	.578
CSR	<-->	TRUNG THANH	.709
CAMXUC	<-->	HAILONG	.542
CAMXUC	<-->	TRUNG THANH	.619
HAILONG	<-->	TRUNG THANH	.576

Variances: (Group number 1 - Default model)

	Estimate	SE	CR	P	Label
NHANDANG	.398	.073	5.464	***
NIEMTIN	.443	.071	6.246	***
CSR	.894	.114	7.836	***
CAMXUC	.496	.072	6,893	***
HAILONG	.352	.058	6.025	***
TRUNG THANH	.445	.067	6,671	***
e1	.539	.053	10.237	***
e2	.425	.043	9,938	***
e3	.273	.033	8,194	***
e4	.327	.038	8,687	***
e5	.292	.035	8.436	***
e6	.338	.037	9.083	***
e7	.396	.041	9.576	***
e8	.441	.046	9.494	***
e9	.329	.040	8.252	***
e10	.300	.037	8.171	***
e11	.315	.038	8.230	***
e12	.378	.041	9.243	***
e13	.382	.042	9,007	***
e14	.297	.036	8.145	***
e15	.303	.035	8.627	***
e16	.348	.038	9,139	***
e17	.316	.036	8,888	***
e18	.365	.043	8,577	***
e19	.304	.040	7,687	***
e20	.320	.040	7,984	***
e21	.306	.036	8.426	***
e22	.372	.044	8.373	***
e23	.351	.042	8.413	***
e24	.412	.048	8,594	***
e25	.321	.035	9.238	***
e26	.445	.047	9.464	***
e27	.281	.037	7,679	***
e28	.269	.036	7.409	***

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

			Estimate
TT4			.745
TT3			.728
TT2			.544

TT1			.581
HL4			.517
HL3			.536
HL2			.540
HL1			.535
CX4			.695
CX3			.715
CX2			.644
CX1			.611
TN5			.715
TN4			.765
TN3			.798
TN2			.730
TN1			.703
NT5			.695
NT4			.700
NT3			.693
NT2			.543
NT1			.528
ND6			.680
ND5			.743
ND4			.722
ND3			.761
ND2			.524
ND1			.424

APPENDIX 9: RESULTS OF CONFIRM FACTOR ANALYSIS AFTER CONNECTING THE ERRORS

Model Fit Summary CMIN

Model	NPAR	CMIN	DF	P	CMIN/DF
Default model	76	379,045	330	.032	1.149
Saturation model	406	.000	0
Independence model	28	4796.163	378	.000	12,688

RMR, GFI

Model	RMR	GFI	AGFI	PGFI
Default model	.039	.901	.879	.733
Saturation model	.000	1,000 yen
Independence model	.422	.180	.119	.167

Baseline Comparisons

Model	NFI Delta1	RFI rho1	IFI Delta2	TLI rho2	CFI
Default model	.921	.909	.989	.987	.989
Saturation model	1,000 yen		1,000 yen		1,000 yen
Independence model	.000	.000	.000	.000	.000

Parsimony-Adjusted Measures

Model	PRATIO	PNFI	PCFI
Default model	.873	.804	.863
Saturation model	.000	.000	.000
Independence model	1,000 yen	.000	.000

NCP

Model	NCP	LO 90	HI 90
Default model	49,045	5.026	101,346
Saturation model	.000	.000	.000
Independence model	4418,163	4198.422	4645.185

FMIN

Model	FMIN	F0	LO 90	HI 90
Default model	1.613	.209	.021	.431
Saturation model	.000	.000	.000	.000
Independence model	20,409	18,801	17.866	19,767

RMSEA

Model	RMSEA	LO 90	HI 90	PCLOSE
Default model	.025	.008	.036	1,000 yen
Independence model	.223	.217	.229	.000

AIC

Model	AIC	BCC	BIC	CAIC
Default model	531.045	552.443	794,296	870.296
Saturation model	812,000 won	926,311	2218,316	2624,316
Independence model	4852.163	4860.047	4949.151	4977.151

ECVI

Model	ECVI	LO 90	HI 90	MECVI
Default model	2,260	2.072	2.482	2.351
Saturation model	3.455	3.455	3.455	3,942
Independence model	20,648	19,712	21,614	20,681

HOELTER

Model

HOELTER

.05

HOELTER

.01

Default model

232

244

Independence model

Minimization:	.019
Miscellaneous:	1.125
Bootstrap:	.000
Total:	1.144

Covariances: (Group number 1 - Default model)

MIND				Par Change
e27	<-->	TRUNG THANH	4,808	.041
e24	<-->	NIEMTIN	9,034	.077
e23	<-->	e28	5.611	-.062
e20	<-->	NHANDANG	4,796	-.047
e14	<-->	e28	6,102	.061
e11	<-->	CAMXUC	4.047	.048
e11	<-->	e20	8.611	.078
e10	<-->	e24	5.402	.066
e10	<-->	e20	4.181	-.053
e7	<-->	e16	6.591	.069
e6	<-->	CAMXUC	5,823	.057
e5	<-->	e24	7.229	-.074
e5	<-->	e22	4.124	.053
e4	<-->	e14	5.533	-.060
e3	<-->	e27	11,394	.079
e3	<-->	e13	5,874	-.060
e2	<-->	e26	4.207	.063
e2	<-->	e23	6.206	.071
e1	<-->	e24	11,807	.119
e1	<-->	e22	4.227	-.068
e1	<-->	e18	6.583	.084
e1	<-->	e2	4.498	.069

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

Regression Weights: (Group number 1 - Default model)

			Estimate	SE	CR	P	Label
ND1	<---	NHANDANG	1,000 yen
ND2	<---	NHANDANG	1.089	.114	9,563	***
ND3	<---	NHANDANG	1.463	.131	11,174	***
ND4	<---	NHANDANG	1.461	.132	11,064	***
ND5	<---	NHANDANG	1.479	.131	11.277	***
ND6	<---	NHANDANG	1.352	.125	10,856	***
NT1	<---	NIEMTIN	1,000 yen
NT2	<---	NIEMTIN	1,090	.094	11,632	***
NT3	<---	NIEMTIN	1.337	.113	11,832	***
NT4	<---	NIEMTIN	1.302	.109	11,925	***
NT5	<---	NIEMTIN	1.317	.111	11,875	***
TN1	<---	CSR	1,000 yen
TN2	<---	CSR	1.077	.060	17,978	***
TN3	<---	CSR	1.175	.069	17.135	***
TN4	<---	CSR	1,060	.066	16,115	***
TN5	<---	CSR	.994	.066	15.172	***
CX1	<---	CAMXUC	1,000 yen
CX2	<---	CAMXUC	1.155	.089	12,954	***
CX3	<---	CAMXUC	1.240	.090	13,746	***
CX4	<---	CAMXUC	1.210	.089	13.530	***
HL1	<---	HAILONG	1,000 yen
HL2	<---	HAILONG	1.113	.110	10.114	***
HL3	<---	HAILONG	1.073	.106	10.079	***
HL4	<---	HAILONG	1.119	.113	9,924	***
TT1	<---	TRUNG THANH	1,000 yen
TT2	<---	TRUNG THANH	1.094	.095	11,483	***
TT3	<---	TRUNG THANH	1,300	.096	13.506	***
TT4	<---	TRUNG THANH	1.329	.097	13,678	***

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

			Estimate
ND1	<---	NHANDANG	.650
ND2	<---	NHANDANG	.725
ND3	<---	NHANDANG	.862
ND4	<---	NHANDANG	.848
ND5	<---	NHANDANG	.873
ND6	<---	NHANDANG	.827
NT1	<---	NIEMTIN	.707
NT2	<---	NIEMTIN	.718
NT3	<---	NIEMTIN	.835
NT4	<---	NIEMTIN	.843
NT5	<---	NIEMTIN	.839
TN1	<---	CSR	.825
TN2	<---	CSR	.843
TN3	<---	CSR	.901
TN4	<---	CSR	.869
TN5	<---	CSR	.837