The impulsive online shopper: effects of COVID-19 burnout, uncertainty, self-control, and online shopping trust

Future Business Journal

Table 2 Confirmatory factor analyses goodness of fit indices for studies 1 & 2

Model	χ²	df	CFI	RMSEA^†	90% CI		SRMR	ECVI
Model	χ²	df	CFI	RMSEA^†	Lower	Upper	SRMR	ECVI
Study 1
Online impulse buying
Original 3-Factor	285.451	6	0.925	0.177	0.159	0.194	0.060	0.211
Six-item 1-Factor	303.118	9	0.921	0.148	0.134	0.162	0.062	0.219
Reduced 5-item 1 Factor	107.166	5	0.969	0.117	0.098	0.137	0.032	0.085
Self-Control Model	135.086	13	0.969	0.079	0.067	0.092	0.051	0.110
Perceived Uncertainty	1.610	2	1.000	0.000	0.000	0.048	0.004	0.012
Online shopping trust*	–	–	1.000	–	–	–	–	0.008
COVID-19 Burnout	772.445	35	0.942	0.119	0.112	0.126	0.034	0.543
Study 2
Online impulse buying	46.068	5	0.986	0.094	0.071	0.120	0.023	0.072
Self-control	216.274	13	0.935	0.130	0.115	0.146	0.092	0.267
Perceived Uncertainty	5.697	2	0.999	0.045	0.000	0.090	0.008	0.024
Online shopping trust*	–	–	1.000	–	–	–	–	0.013
COVID-19 Burnout	761.757	35	0.921	0.15	0.141	0.159	0.038	0.869

df = Degrees of freedom; CFI = Comparative fit index; RMSEA = Root mean square error of approximation; CI = Confidence interval; SRMR = Standardized root mean square residual; AIC = Akaike information criteria; ECVI = Expected cross-validation index. *Online shopping trust was measured using three indicators and thus, shows perfect goodness of fit. ^†Note that RMSEA is positively inflated as model df becomes smaller [37, 38]. We therefore rationalize scale structural reliability by consulting other goodness of fit metrics and McDonald’s omega