TABLE 4.

Study 1 hierarchical regression analysis with total causal score as dependent variable (significant predictors in bold).

Model	M1	M2	M3	M4	M5
Predictor	B
Age in months	0.332**	0.207	0.176	0.115	0.109
WASI vocabulary	0.310**	0.231*	0.154	0.059	0.044
Marbles		0.310**	0.172	0.145	0.096
Cards			0.104	0.086	0.033
Covariation			0.184	0.131	0.121
Log blocks				0.284*	0.273*
Flow of liquid					0.203*
AdjR2 = 0.454; ΔR2 = 0.347*** for M1; 0.061** for M2; 0.022 for M3; 0.035* for M4; and 0.026* for M5. *p < 0.05.**p < 0.01.***p < 0.001.
Study 2 hierarchical regression analysis with total causal score as dependent variable (significant predictors in bold).
Model	M1	M2	M3	M4	M5	M6
Predictor	β
Age in months	−0.136	−0.171	−0.174	−0.249*	−0.230*	−0.218*
WASI vocabulary	0.624***	0.551***	0.483***	0.434***	0.408***	0.349**
Marbles		0.202*	0.147	0.050	0.017	−0.053
Covariation			0.221**	0.209*	0.176*	0.130
Log blocks				0.284**	0.250*	0.197*
DTV total					0.160	0.062
Expflow of liquid						0.349***

AdjR² = 0.459; ΔR² = 0.292*** for M1; 0.031* for M2; 0.037** for M3; 0.046** for M4; 0.018 for M5; and 0.066*** for M6. *p < 0.05.**p < 0.01.***p < 0.001.