Table 3.

Goodness of fit indices for the measurement models.

	χ2 (df)	p	Ratio (<2)	Hoelter CN (>200)	CFI, IFI (>=0.95)	TLI, NNFI (>=0.95)	SRMR (<=0.08)	RMSEA [95% CI of RMSEA] (<=0.06)	Baseline RMSEA (>0.158)	AIC	Adj BIC	γ-Hat (>=0.95)	Adj γ-Hat (>=0.95)
MSPSS-3-Factor model	77.59 (32)	<0.001	2.42	758+	0.96+	0.95+	0.03+	0.03 [0.02–0.04]∗	0.1471	12510	12575	0.99+	0.99+
WLEIS-4-Factor model	304.62 (86)	<0.001	3.54	455+	0.94	0.93	0.04+	0.045 [0.04–0.05]∗	0.1719+	44189	44286	0.98+	0.97+
SWLS- Unidimensional	42.43 (5)	<0.001	8.49	332+	0.98+	0.96+	0.02+	0.08 [0.06–0.10]	0.3910+	20355	20384	0.99+	0.96+
BDI-II-2-Factor model	304.62 (86)	<0.001	3.54	455+	0.94	0.93	0.04+	0.045 [0.04–0.05]∗	0.1719+	44189	44286	0.98+	0.97+
General model	298.15 (85)	<0.001	3.51	461+	0.95+	0.95+	0.04+	0.045 [0.04–0.05]∗	0.1987+	64091	64158	0.98+	0.97+

MSPSS, Multidimensional Scale of Perceived Social Support; WLEIS, Wong and Law Emotional Intelligence Scale; SWLS, Satisfaction With Life Scale; BDI, Beck Depression Inventory-II; χ², chi square; df, degrees of freedom; p, level of signification; CN, critical N; CFI, comparative fit index; IFI, incremental fit index; TLI, tucker lewis index; NNFI, non-normed fit index; SRMR, standardized root mean square residual; RMSEA, root mean square error of approximation; CI, confidence interval; AIC, Akaike information criterion; BIC, Bayesian information criterion; γ-Hat, gamma hat index; adj γ-Hat, adjusted gamma hat index. ^∗Indicative that the RMSEA is significant at 0.05. In all variants, “+” is indicative that the statistic meets the recommended thresholds of good fit: ρ(χ²) ≥ 0.05, χ²/df ≤ 2, [GFI CFI, IFI, NNFI] ≥ 0.95, SRMR ≤ 0.08, and RMSEA ≤ 0.06 (Hu and Bentler, 1999), [γ-Hat, adj γ-Hat] ≥ 0.95 (Fan and Sivo, 2007), Hoelter CN > 200 (Kenny, 2015). These threshold values have been included together with the indices themselves to facilitate their interpretation.