. 2019 Dec 3;52(3):1161–1174. doi: 10.3758/s13428-019-01308-z

Table 4.

Summary of linear mixed-effect regression models comparing suppress and remember tasks

		Sensitivity (d_L)					Median Response Latency					Inverse Efficiency
	df₁	df₂	F	p		R²_β	df₂	F	p		R²_β	df₂	F	p		R²_β
Sessions 1 & 2
T	1	265.2	5.63	.018	*	.021	264.9	31.4	<.0001	****	.106	265	8.35	.004	**	.031
C	1	265.2	276.5	<.0001	****	.510	264.9	663.8	<.0001	****	.715	265	608.7	<.0001	****	.697
S	1	266.6	13.7	.0003	***	.049	267.0	10.9	.001	**	.039	267	10.8	.001	**	.039
T×C	1						264.9	8.6	.004	**	.031
T×S
C×S
T×C×S
Session 1
T	1	117	2.88	.092	(*)	.024	117	10.9	.001	**	.085
C	1	117	184.5	<.0001	****	.612	117	320.3	<.0001	****	.732	117	325.2	<.0001	****	.735
T×C	1						117	3.77	.054	(*)	.031
Session 2
T	1	111	3.66	.058	(*)	.032	111	18.9	<.0001	****	.146	111	5.52	.021	*	.047
C	1	111	138.2	<.0001	****	.555	111	300.2	<.0001	****	.730	111	245.1	<.0001	****	.688
T×C	1						111	4.27	.041	*	.037

T = task (suppress, remember); C = condition (control, lure); S = session (1, 2). F ratios with p ≥ .10 are omitted. R²_β represents the semi-partial R² estimate of effect size. (*)p ≤ .1, ^*p ≤ .05, ^**p ≤ .01, ^***p ≤ .001, ^****p ≤ .0001.