Table 3.

Omnibus fit statistics across behavioral metrics (RT, IE, LISAS, difference scores)

	Model 1 – One (domain-general) factor
	χ ²	df	CFI	TLI	RMSEA	SRMR
RT	5024.97	104	0.618	0.559	0.245 [0.239, 0.250]	0.184
IE	1119.27	104	0.644	0.590	0.155 [0.147, 0.164]	0.124
LISAS	4225.99	104	0.615	0.556	0.217 [0.211, 0.222]	0.162
RT Difference Scores	158.87	20	0.712	0.597	0.090 [0.077, 0.103]	0.072
	Model 2 – Two factors (Conflict and Switch domains)
	χ ²	df	CFI	TLI	RMSEA	SRMR
RT	1366.69	103	0.914	0.900	0.117 [0.111, 0.122]	0.037
IE	583.50	103	0.849	0.824	0.102 [0.094, 0.110]	0.063
LISAS	1529.18	103	0.872	0.851	0.125 [0.120, 0.131]	0.052
RT Difference Scores	45.78	19	0.946	0.921	0.040 [0.025, 0.055]	0.033
	Model 3 – Four fully correlated proportion context factors (PC/PS)
	χ ²	df	CFI	TLI	RMSEA	SRMR
RT	748.52	98	0.956	0.946	0.086 [0.080, 0.092]	0.028
IE	444.51	98	0.895	0.872	0.087 [0.079, 0.095]	0.054
LISAS	972.63	98	0.923	0.905	0.100 [0.094, 0.106]	0.042
RT Difference Scores	16.71	14	0.995	0.989	0.015 [0.000, 0.037]	0.019
	Model 4 – Four domain-only correlated proportion context factors (PC/PS)
	χ ²	df	CFI	TLI	RMSEA	SRMR
RT	1036.39	102	0.937	0.925	0.101 [0.095, 0.106]	0.272
IE	557.79	102	0.863	0.838	0.098 [0.090, 0.106]	0.167
LISAS	1226.50	102	0.901	0.883	0.111 [0.105, 0.117]	0.232
RT Difference Scores	35.13	18	0.966	0.947	0.032 [0.016, 0.048]	0.037
Model 5 – One higher-order factor (domain-general context) predicted by proportion context factors (PC/PS)
	χ ²	df	CFI	TLI	RMSEA	SRMR
RT	1607.58	100	0.898	0.877	0.129 [0.123, 0.135]	0.146
IE	572.19	100	0.856	0.827	0.101 [0.093, 0.109]	0.094
LISAS	1587.97	100	0.870	0.843	0.129 [0.123, 0.134]	0.125
RT Difference Scores	n/a	n/a	n/a	n/a	n/a	n/a
Model 6 – Two higher-order factors (domain-specific context) predicted by proportion context factors (PC/PS)
	χ ²	df	CFI	TLI	RMSEA	SRMR
RT	749.30	99	0.956	0.946	0.085 [0.080, 0.091]	0.028
IE	442.52	99	0.896	0.873	0.086 [0.078, 0.095]	0.054
LISAS	972.66	99	0.923	0.906	0.099 [0.094,0.105]	0.042
RT Difference Scores	n/a	n/a	n/a	n/a	n/a	n/a