Table 5.

Descriptive statistics, internal consistency indexes and test-retest correlations.

	M (SD)			Asymmetry	Kurtosis	α	ω
	Entire sample	Women	Men
Chile	(N = 3699)	(n = 3234)	(n = 404)			0.83	0.83
Health-W	3.32 (0.79)	3.36 (0.78)	3.06 (0.86)	−0.31	−0.21	0.689	0.686
Economic-W	3.24 (0.89)	3.27 (0.88)	2.99 (0.91)	−0.05	−0.63	0.743	0.748
Psychosocial-W	3.52 (0.86)	3.55 (0.84)	3.24 (0.96)	−0.37	−0.39	0.739	0.744
Colombia	(N = 621)	(n = 514)	(n = 106)			0.85	0.85
Health-W	2.95 (0.82)	3.00 (0.81)	2.69 (0.82)	−0.01	−0.23	0.713	0.709
Economic-W	3.10 (0.89)	3.12 (0.89)	2.97 (0.88)	0.10	−0.61	0.776	0.795
Psychosocial-W	3.07 (0.91)	3.15 (0.90)	2.67 (0.85)	0.03	−0.60	0.769	0.774
Ecuador	(N = 558)	(n = 387)	(n = 168)			0.86	0.86
Health-W	3.11 (0.86)	3.23 (0.87)	2.83 (0.79)	0.02	−0.42	0.704	0.705
Economic-W	3.33 (0.92)	3.49 (0.86)	2.94 (0.93)	−0.09	−0.73	0.771	0.782
Psychosocial-W	3.01 (0.88)	3.14 (0.86)	2.72 (0.87)	−0.05	−0.65	0.736	0.740
Mexico	(N = 334)	(n = 233)	(n = 101)			0.88	0.88
Health-W	3.13 (0.91)	3.28 (0.86)	2.81 (0.93)	−0.08	−0.48	0.758	0.751
Economic-W	3.07 (0.95)	3.16 (0.88)	2.86 (1.08)	0.16	−0.74	0.797	0.789
Psychosocial-W	3.00 (0.94)	3.11 (0.92)	2.71 (0.97)	0.07	−0.77	0.782	0.769
Spain	(N = 347)	(n = 258)	(n = 88)			0.84	0.84
Health-W	2.83 (0.82)	2.96 (0.81)	2.46 (0.84)	0.14	−0.50	0.714	0.712
Economic-W	2.52 (0.78)	2.63 (0.76)	2.21 (0.74)	0.46	0.02	0.676	0.684
Psychosocial-W	2.80(0.88)	2.97 (0.85)	2.32 (0.80)	0.20	−0.58	0.748	0.756

Note. 61 people identified themselves with the gender “Other” (non-binary) in Chile, 1 in Colombia, 3 in Ecuador and 1 in Spain. ** p < .001.

The table shows descriptive data of the participants from the five countries. In addition, two internal consistency indices (α and ω) of the W-COV factors are observed for each country.

Indices for the total scale are shown in bold.