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

Table 3.

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

Sensitivity (dL) Median Response Latency Inverse Efficiency
df1 df2 F p R2β df2 F p R2β df2 F p R2β
Sessions 1 & 2
T 1 265.1 48.3 <.0001 **** .154 265.0 40.6 <.0001 **** .133 265.1 43.4 <.0001 **** .141
C 1 265.1 212.2 <.0001 **** .444 265.0 344.0 <.0001 **** .565 265.1 320.0 <.0001 **** .547
S 1 266.8 14.0 .0002 *** .050 266.9 10.8 .001 ** .039 267.1 10.3 .001 ** .037
T×C 1 265.0 21.8 <.0001 **** .076 265.1 19.7 <.0001 **** .069
T×S
C×S 1 265.1 2.95 .09 (*) .011
T×C×S
Session 1
T 1 117 25.7 <.0001 **** .180 117 24.8 <.0001 **** .175 117 26.0 <.0001 **** .182
C 1 117 154.9 <.0001 **** .570 117 162.0 <.0001 **** .580 117 173.1 <.0001 **** .597
T×C 1 117 8.98 .003 ** .071 117 8.70 .003 ** .069
Session 2
T 1 111 29.0 <.0001 **** .207 111 13.4 .0003 *** .108 111 15.1 .0002 *** .120
C 1 111 90.7 <.0001 **** .450 111 156.4 <.0001 **** .586 111 125.9 <.0001 **** .531
T×C 1 111 11.2 .001 ** .093 111 9.58 .002 ** .079

T = task (ignore, suppress); C = condition (control, lure); S = session (1, 2). F ratios with p ≥ .10 are omitted. R2β represents the semi-partial R2 estimate of effect size. (*)p ≤ .1, *p ≤ .05, **p ≤ .01, ***p ≤ .001, ****p ≤ .0001.