Table 4. Average learning scores and the percentage of participants who learned particular types of information.

		Triplet Learn.	Quad Learn.	Pattern Learn.	Max Learn.
RT data	Overall learning (descriptive statistics, and the ANOVA’s intercept)	M = 0.350, SEM = 0.014; F(1,179) = 597.78, MSE = 0.331, p < 0.001, ηp2 = 0.770	M = 0.056, SEM = 0.010; F(1,179) = 30.79, MSE = 0.163, p < 0.001, ηp2 = 0.147	M = -0.028, SEM = 0.009; F(1, 179) = 10.72, MSE = 0.122, p = 0.001, ηp2 = 0.057	M = 0.376, SEM = 0.014; F(1, 179) = 767.92, MSE = 0.298, p < 0.001, ηp2 = 0.811
	ANOVA’s main effect of EPOCH	F(8, 1432) = 23.03, MSE = 0.108, p < 0.001, ηp2 = 0.114	F(8, 1432) = 2.09, MSE = 0.104, p = 0.033, ηp2 = 0.012	F(8, 1432) = 1.27, MSE = 0.097, p = 0.251, ηp2 = 0.007	F(7, 1333) = 32.77, MSE = 0.097, p < 0.001, ηp2 = 0.155
	% of positive learners (% of reliably positive learners)	76.77% (74.44%)	12.22% (13.33%)	5.00% (5.56%)	87.22% (83.89%)
	% of negative learners (% of reliably negative learners)	0.00% (0.00%)	4.44% (5.00%)	4.44% (10.56%)	0.00% (0.00%)
	% of true learners (% of reliably true learners)	76.77% (74.44%)	7.78% (8.33%)	0.56% (-5.00%)	87.22% (83.89%)
Accuracy data	Overall learning (descriptive statistics, and the results of the t-test)	M = 0.057, SEM = 0.004, t(179) = 13.766, p < 0.001, Cohen’s d = 1.026	M = 0.012, SEM = 0.003, t(178) = 3.500, p = 0.001, Cohen’s d = 0.262	M = 0.001, SEM = 0.03, t(178) = 0.233, p = 0.816, Cohen’s d = 0.018	M = 0.069, SEM = 0.004, t(179) = 16.136, p < 0.001, Cohen’s d = 1.202
	% of positive learners	53.33%	22.35%	14.53%	63.89%
	% of negative learners	3.33%	9.50%	12.29%	1.11%
	% of true learners	50.00%	12.85%	2.24%	62.78%