Is the meaning of subjective well-being similar in Latin American countries? A cross-cultural measurement invariance study of the WHO-5 well-being index during the COVID-19 pandemic

Table 3 Fit indices, factorial weights and reliability of the unidimensional model in American countries

Model	Country	χ²	df	p	CFI	TLI	SRMR	RMSEA [90%CI]	Factorial weight					Reliability
Model	Country	χ²	df	p	CFI	TLI	SRMR	RMSEA [90%CI]	1	2	3	4	5	α	ω
1	Mexico	13.36	5	.020	.99	.99	.010	.075 [.027–.125]	.89	.91	.92	.86	.82	.95	.92
	Guatemala	3.76	5	.336	1.00	1.00	.007	.000 [.000–.067]	.87	.92	.94	.84	.81	.94	.91
	El Salvador	60.98	5	.000	.99	.99	.020	.127 [.099–.156]	.89	.94	.91	.82	.82	.94	.77
	Cuba	74.59	5	.000	.99	.98	.046	.210 [.169–.253]	.94	.88	.91	.83	.79	.94	.92
	Peru	43.69	5	.000	.99	.99	.023	.147 [.109–.188]	.87	.89	.92	.85	.82	.94	.91
	Bolivia	30.26	5	.000	.99	.98	.040	.142 [.096–.192]	.88	.80	.90	.74	.83	.91	.89
	Ecuador	38.04	5	.000	.99	.99	.018	.121 [.087–.158]	.92	.94	.94	.82	.87	.95	.92
	Colombia	29.22	5	.000	.99	.99	.023	.114 [.076–.156]	.94	.93	.92	.85	.80	.95	.92
	Chile	34.51	5	.000	.99	.99	.024	.106 [.074–.141]	.90	.89	.92	.88	.80	.94	.91
	Argentina	47.67	5	.000	.99	.99	.033	.162 [.122–.206]	.91	.91	.93	.84	.81	.94	.91
	Uruguay	29.32	5	.000	.99	.99	.024	.113 [.075–.154]	.88	.90	.89	.83	.82	.94	.90
	Paraguay	126.79	5	.000	.99	.98	.029	.113 [.142–.192]	.92	.91	.92	.88	.82	.94	.93

χ2, Chi square; df, degrees of freedom; SRMR: Standardized Root Mean Square Residual; TLI, Tucker-Lewis Index; CFI, Comparative Fit Index; RMSEA, Root Mean Square Error of Approximation; α, Cronbach’s Alpha; ω, Omega from Green & Yang, 2009

ISSN: 2050-7283