Table 4.

Goodness of fit indices for the measurements for the structural model.

	χ2 (df)	p	Ratio (<2)	Hoelter CN (>200)	CFI, IFI, 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)
Starting model	328.87 (143)	0.001	2.30	667+	0.96+	0.03+	0.035 [0.03–0.04]∗	0.1598+	86326	86417	0.98+	0.98+
Final model	329.36 (144)	0.001	2.29	671+	0.96+	0.03+	0.035 [0.03–0.04]∗	0.1598+	86325	86414	0.98+	0.98+

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). For details see note on Table 3.