Dependent variable:
	Task error (log odds)
	(5)	(6)	(7)	(8)
Random effects variances
Participant
(Intercept)	0.344	0.340	0.340	0.340
Target Orientation (In-Up)		0.134	0.134	0.134
Preview (Inv-Val)		0.027	0.027	0.027
Trial number		0.032	0.032	0.032
Target Orientation x Trial number		0.043	0.043	0.043
Target Orientation x Preview x Trial number		0.136	0.136	0.136
Preview x Trial number			0	0
Target Orientation x Preview				0
Residual Variance	1	1	1	1
Fixed effects
Target Orientation (In-Up)	0.655	0.676	0.676	0.676
	(0.085)	(0.107)	(0.107)	(0.107)
	t = 7.725	t = 6.331	t = 6.331	t = 6.331
Preview (Inv-Val)	-0.107	-0.101	-0.101	-0.101
	(0.085)	(0.090)	(0.090)	(0.090)
	t = -1.265	t = -1.125	t = -1.125	t = -1.125
Training (Inv-Val)	0.082	0.070	0.070	0.070
	(0.216)	(0.216)	(0.216)	(0.216)
	t = 0.381	t = 0.326	t = 0.326	t = 0.326
Trial number	0.020	-0.003	-0.003	-0.003
	(0.042)	(0.054)	(0.054)	(0.054)
	t = 0.463	t = -0.048	t = -0.048	t = -0.048
Target Orientation x Preview	0.028	0.027	0.027	0.027
	(0.169)	(0.170)	(0.170)	(0.170)
	t = 0.166	t = 0.158	t = 0.158	t = 0.158
Target Orientation x Training	-0.045	-0.009	-0.009	-0.009
	(0.170)	(0.213)	(0.213)	(0.213)
	t = -0.265	t = -0.043	t = -0.043	t = -0.043
Preview x Training	-0.156	-0.160	-0.160	-0.160
	(0.169)	(0.179)	(0.179)	(0.179)
	t = -0.921	t = -0.892	t = -0.892	t = -0.892
Target Orientation x Trial number	-0.199	-0.177	-0.177	-0.177
	(0.084)	(0.093)	(0.093)	(0.093)
	t = -2.363	t = -1.893	t = -1.893	t = -1.893
Preview x Trial number	-0.023	-0.031	-0.031	-0.031
	(0.084)	(0.085)	(0.085)	(0.085)
	t = -0.267	t = -0.370	t = -0.370	t = -0.370
Training x Trial number	-0.115	-0.111	-0.111	-0.111
	(0.084)	(0.106)	(0.106)	(0.106)
	t = -1.363	t = -1.053	t = -1.053	t = -1.053
Target Orientation x Preview x Training	-0.071	-0.068	-0.068	-0.068
	(0.339)	(0.340)	(0.340)	(0.340)
	t = -0.210	t = -0.200	t = -0.200	t = -0.200
Target Orientation x Preview x Trial number	-0.057	-0.071	-0.071	-0.071
	(0.169)	(0.182)	(0.182)	(0.182)
	t = -0.338	t = -0.391	t = -0.391	t = -0.391
Target Orientation x Training x Trial number	0.006	0.033	0.033	0.033
	(0.169)	(0.186)	(0.186)	(0.186)
	t = 0.034	t = 0.178	t = 0.178	t = 0.178
Preview x Training x Trial number	0.027	0.022	0.022	0.022
	(0.169)	(0.170)	(0.170)	(0.170)
	t = 0.160	t = 0.127	t = 0.127	t = 0.127
Target Orientation x Preview x Training x Trial number	0.088	0.105	0.105	0.105
	(0.337)	(0.363)	(0.363)	(0.363)
	t = 0.261	t = 0.288	t = 0.288	t = 0.288
Constant	-1.538	-1.543	-1.543	-1.543
	(0.108)	(0.108)	(0.108)	(0.108)
	t = -14.216	t = -14.257	t = -14.257	t = -14.257
Observations	15,765	15,765	15,765	15,765
AICc	14817.779	14775.659	14777.665	14779.671
Log Likelihood	-7391.87	-7365.797	-7365.797	-7365.797
Deviance	14783.741	14731.595	14731.595	14731.595
Df	17	22	23	24
χ2		52.146	0	0
χ2 Df		5	1	1
p		< .001	1.000	1.000
Model is singular			†	†