. 2023 Mar 3;14:1015227. doi: 10.3389/fpsyg.2023.1015227

Table 1.

Model fit indices of competing alternative models.

Model	χ²	df	χ²/df	RMSEA	CFI	TLI	SRMR	R2	BIC	AIC
AM1. GS → Hag	959.37	212	4.52	0.145	0.622	0.588	0.295	0.10^*	15023.61	14826.80
AM1a.	981.15	252	3.89	0.132	0.643	0.610	0.224	0.40^***	14897.14	14688.24
AM2. GS + WM → Hag	862.94	207	4.17	0.137	0.668	0.629	0.278	0.20^*	14952.80	14740.37
AM2a.	897.34	246	3.65	0.126	0.681	0.643	0.210	0.45^***	14844.05	14616.43
AM2¹.	838.57	187	4.48	0.144	0.661	0.654	0.291	0.19^*	13966.54	13763.39
AM2¹a.	863.24	224	3.85	0.131	0.679	0.623	0.219	0.43^***	13846.48	13628.22
AM3. GWM → Hag	424.95	169	2.51	0.095	0.855	0.837	0.098	0.68^***	13788.64	13598.08
AM3a.	463.17	205	2.26	0.087	0.856	0.839	0.095	0.66^***	13715.98	13513.31
AM3¹.	381.97	151	2.53	0.095	0.866	0.848	0.084	0.67^***	12766.35	12585.16
AM3¹a.	417.96	185	2.26	0.087	0.868	0.851	0.085	0.65^***	12693.28	12499.97
AM4. Speed + GWM → Hag	605.37	207	2.92	0.107	0.798	0.760	0.117	0.66^***	14695.23	14482.80
AM4a.	664.35	246	2.70	0.101	0.795	0.756	0.119	0.66^***	14611.06	14383.45
AM4¹.	546.09	187	2.92	0.107	0.813	0.799	0.106	0.64^***	13674.07	13471.01
AM4¹a.	604.91	224	2.70	0.101	0.809	0.787	0.112	0.65^***	13588.15	13369.89
AM5. Speed + WM + Phon → Hag	547.02	204	2.68	0.100	0.826	0.803	0.106	0.29^***	14652.25	14430.49
AM5a.	592.43	240	2.47	0.094	0.827	0.802	0.099	0.31^***	14569.84	14323.52
M1	366.87^***	199	1.84	0.071	0.915	0.901	0.110	0.60^***	14,497–72	14260.30
M1a	417.15^***	235	1.77	0.068	0.911	0.896	0.104	0.69^***	14420.15	14158.24
Models of subsets of Hagerman conditions
M2	216.53^***	98	2.20	0.085	0.896	0.873	0.084	0.72^***	11006.48	10837.78
M2a	248.88^***	122	2.04	0.079	0.895	0.869	0.109	0.73^***	10923.31	10729.99
M3	205.37^***	97	2.11	0.082	0.912	0.891	0.123	0.72^***	10904.06	10732.24
M3a	242.10^***	121	2.00	0.077	0.906	0.882	0.112	0.69^***	10836.56	10640.12
M4	204.66^***	98	2.09	0.080	0.922	0.905	0.127	0.74^***	10213.29	10044.60
M4a	242.69^***	122	1.98	0.077	0.916	0.895	0.114	0.72^***	10143.03	9949.72
M5	199.46^***	98	2.04	0.079	0.901	0.882	0.109	0.60^***	11622.42	11453.72
M5a	235.95^***	122	1.93	0.075	0.898	0.873	0.099	0.62^***	11544.75	11351.43
M6	147.70^***	59	2.50	0.095	0.901	0.869	0.125	0.75^***	8854.19	8713.62
M6a	176.03^***	77	2.29	0.088	0.896	0.860	0.113	0.74^***	8783.28	8618.02
M7	145.04^***	59	2.45	0.093	0.891	0.867	0.115	0.63^***	9422.53	9281.95
M7a	174.30^***	77	2.26	0.087	0.886	0.856	0.104	0.69^***	9344.08	9178.83
M8	155.95^***	59	2.64	0.099	0.900	0.868	0.135	0.74^***	8706.11	8565.53
M8a	183.47^***	77	2.38	0.091	0.895	0.859	0.121	0.71^***	8642.45	8477.20
M9	142.78^***	59	2.42	0.092	0.893	0.859	0.122	0.59^***	9654.34	9532.23
M9a	172.04^***	77	2.23	0.086	0.886	0.847	0.110	0.59^***	9440.32	9275.07

AM = alternative model; GS = general speed; Hag = Hagerman; GWM = phonology + WM; a = covariates (PTA and Age);

= excluding VSWM. All models represent a latent construct as a combination of the different latent constructs of interest, allowed to predict the outcome measure (Hagerman).

p < 0.05;

^**

p < 0.01;

^***

p < 0.001.