Journal for Labour Market Research

Table 1 Fit index for SEM considering all the Italian provinces (IT), and, separately, Northern (N), Central (C) and Southern (S) provinces

From: The association of economic and cultural capital with the NEET rate: differential geographical and temporal patterns

Model	\({\chi }^{2}/df\)	GFI	AGFI	RMR	RMSEA
Model 1, IT	2.50	0.83	0.65	0.18	0.12
Model 1, N	1.33	0.47	0.66	0.08	0.09
Model 1, C	1.09	0.76	0.52	0.42	0.05
Model 1, S	1.24	0.73	0.44	0.22	0.08
Model 2, IT	1.35	0.48	0.66	0.11	0.09
Model 2, N	0.96	0.47	0.64	0.22	0.01
Model 2, C	3.28	0.38	0.32	1.15	0.26
Model 2, S	2.07	0.75	0.50	0.08	0.18

GFI: Global Fit Index; AGFI: Adjusted Global Fit Index; RMR: Root Mean Square Residual: RMSEA: Root Mean Square Error of Approximation

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