Table 5 Multigroup analysis Structural...

Table 5

Multigroup analysis

	Structural model for customers who had visited several websites		Structural model for customers who had followed a multirooming behaviour		Both subsamples
	Parameter estimates (standardised values)	t-test	Parameter estimates (standardised values)	t-test	Structural invariance for each path
Direct relationship
H1: E-trust → Customer privacy concerns	−0.14^**	−1.99	n.s	0.43	p-value >0.05
H2: Online customer experience → Customer privacy concerns	−0.51^**	−7.93	−0.78^**	−4.14	p-value >0.05
H3: Online customer experience → E-trust	n.s	0.26	n.s	−0.71	p-value >0.05
H4: E-satisfaction → Customer privacy concerns	−0.14^*	−1.65	n.s	−0.62	p-value >0.05
H5: Online customer experience → e-satisfaction	0.61^**	14.23	0.82^**	9.63	p-value >0.05
H6: E-satisfaction → E-trust	0.75^**	13.83	0.92^**	5.57	p-value >0.05
Indirect relationship
H7: Online customer experience → E-trust	0.46^**	9.76	0.76^**	4.54	p-value >0.05
H7: Online customer experience → Customer privacy concerns	−0.15^**	−3.91	n.s	−0.54	p-value >0.05
H7: E-satisfaction → Customer privacy concerns	−0.10^*	−1.95	n.s	0.42	p-value >0.05
Relations between control variables and dependent variables
Customer's age → E-Satisfaction	n.s	0.05	−0.16^**	−2.65	p-value >0.05
Customer's gender → E-Satisfaction	n.s	0.64	0.13^**	2.88	p-value <0.05
Customer's level of education → E-Satisfaction	n.s	0.70	n.s	−0.41	p-value >0.05
Customer's age → E-trust	n.s	−0.90	n.s	0.05	p-value >0.05
Customer's gender → E-trust	n.s	−0.16	n.s	−1.01	p-value >0.05
Customer's level of education → E-trust	n.s	0.99	n.s	0.88	p-value >0.05
Customer's age → Customer privacy concerns	0.06^*	1.73	n.s	0.81	p-value >0.05
Customer's gender → Customer privacy concerns	n.s	0.16	n.s	1.51	p-value >0.05
Customer's level of education → Customer privacy concerns	n.s	−0.95	n.s	−0.02	p-value >0.05
	Goodness-of-fit indices for the subsample Satorra-Bentler χ² = 692.079; df = 231; p-value = 0.000; CFI = 0.96; BBNFI = 0.93; BBNNFI = 0.95; IFI = 0.96; RMSEA = 0.05		Goodness-of-fit indices for the subsample Satorra-Bentler χ² = 355.250; df = 231; p-value = 0.000; CFI = 0.96; BBNFI = 0.89; BBNNFI = 0.95; IFI = 0.96; RMSEA = 0.05
Goodness-of-fit indices for the unconstrained multigroup model	χ² = 1494.769; Satorra-Bentler χ² = 1030.900; df = 462; p-value = 0.000; CFI = 0.96; BBNFI = 0.93; BBNNFI = 0.95; IFI = 0.96; RMSEA = 0.05			Structural invariance for both models Δχ² = 8.259 Δχ² Satorra-Bentler = 5.74 Δdf = 6 p-value = 0.46
Goodness-of-fit indices for the constrained multigroup model	χ² = 1503.028; Satorra-Bentler χ² = 1036.640; df = 468; p-value = 0.000; CFI = 0.96; BBNFI = 0.93; BBNNFI = 0.95; IFI = 0.96; RMSEA = 0.05

	Structural model for customers who had visited several websites		Structural model for customers who had followed a multirooming behaviour		Both subsamples
	Parameter estimates (standardised values)	t-test	Parameter estimates (standardised values)	t-test	Structural invariance for each path
Direct relationship
H1: E-trust → Customer privacy concerns	−0.14^**	−1.99	n.s	0.43	p-value >0.05
H2: Online customer experience → Customer privacy concerns	−0.51^**	−7.93	−0.78^**	−4.14	p-value >0.05
H3: Online customer experience → E-trust	n.s	0.26	n.s	−0.71	p-value >0.05
H4: E-satisfaction → Customer privacy concerns	−0.14^*	−1.65	n.s	−0.62	p-value >0.05
H5: Online customer experience → e-satisfaction	0.61^**	14.23	0.82^**	9.63	p-value >0.05
H6: E-satisfaction → E-trust	0.75^**	13.83	0.92^**	5.57	p-value >0.05
Indirect relationship
H7: Online customer experience → E-trust	0.46^**	9.76	0.76^**	4.54	p-value >0.05
H7: Online customer experience → Customer privacy concerns	−0.15^**	−3.91	n.s	−0.54	p-value >0.05
H7: E-satisfaction → Customer privacy concerns	−0.10^*	−1.95	n.s	0.42	p-value >0.05
Relations between control variables and dependent variables
Customer's age → E-Satisfaction	n.s	0.05	−0.16^**	−2.65	p-value >0.05
Customer's gender → E-Satisfaction	n.s	0.64	0.13^**	2.88	p-value <0.05
Customer's level of education → E-Satisfaction	n.s	0.70	n.s	−0.41	p-value >0.05
Customer's age → E-trust	n.s	−0.90	n.s	0.05	p-value >0.05
Customer's gender → E-trust	n.s	−0.16	n.s	−1.01	p-value >0.05
Customer's level of education → E-trust	n.s	0.99	n.s	0.88	p-value >0.05
Customer's age → Customer privacy concerns	0.06^*	1.73	n.s	0.81	p-value >0.05
Customer's gender → Customer privacy concerns	n.s	0.16	n.s	1.51	p-value >0.05
Customer's level of education → Customer privacy concerns	n.s	−0.95	n.s	−0.02	p-value >0.05
	Goodness-of-fit indices for the subsampleSatorra-Bentler χ² = 692.079; df = 231; p-value = 0.000; CFI = 0.96; BBNFI = 0.93; BBNNFI = 0.95; IFI = 0.96; RMSEA = 0.05		Goodness-of-fit indices for the subsampleSatorra-Bentler χ² = 355.250; df = 231; p-value = 0.000; CFI = 0.96; BBNFI = 0.89; BBNNFI = 0.95; IFI = 0.96; RMSEA = 0.05
Goodness-of-fit indices for the unconstrained multigroup model	χ² = 1494.769; Satorra-Bentler χ² = 1030.900; df = 462; p-value = 0.000; CFI = 0.96; BBNFI = 0.93; BBNNFI = 0.95; IFI = 0.96; RMSEA = 0.05			Structural invariance for both modelsΔχ² = 8.259Δχ² Satorra-Bentler = 5.74Δdf = 6 p-value = 0.46
Goodness-of-fit indices for the constrained multigroup model	χ² = 1503.028; Satorra-Bentler χ² = 1036.640; df = 468; p-value = 0.000; CFI = 0.96;BBNFI = 0.93; BBNNFI = 0.95; IFI = 0.96; RMSEA = 0.05

Note(s): ** Significant at p ≤ 0.05

* Significant at p ≤ 0.1

n.s.: non-significant

Source(s): Authors’ own work

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