Table 4. Full results from the ANOVAs for the word recognition test.

Hits	Type of Script	F(1, 110) = 0.307, p = .580, ηp2 = .003
	Aid	F(1, 110) = 4.010, p = .048, ηp2 = .035 *
	Number of Scripts	F(1, 110) = 0.597, p = .441, ηp2 = .005
	Type of Script*Aid	F(1, 110) = 0.889, p = .348, ηp2 = .008
	Type of Script*Number of Scripts	F(1, 110) = 1.137, p = .580, ηp2 = .003
	Aid*Number of Scripts	F(1, 110) = 1.064, p = .305, ηp2 = .010
	Type of Script*Aid*Number of Scripts	F(1, 110) = 0.372, p = .543, ηp2 = .003
False alarms	Type of Script	F(1, 110) = 0.525, p = .470, ηp2 = .005
	Aid	F(1, 110) = 0.289, p = .592, ηp2 = .003
	Number of Scripts	F(1, 110) = 0.101, p = .751, ηp2 = .000
	Type of Script*Aid	F(1, 110) = 3.097, p = .081, ηp2 = .027
	Type of Script*Number of Scripts	F(1, 110) = 0.525, p = .470, ηp2 = .005
	Aid*Number of Scripts	F(1, 110) = 0.567, p = .453, ηp2 = .005
	Type of Script*Aid*Number of Scripts	F(1, 110) = 0.048, p = .086, ηp2 = .000
A′	Type of Script	F(1, 110) = 0.703, p = .403, ηp2 = .006
	Aid	F(1, 110) = 0.809, p = .370, ηp2 = .007
	Number of Scripts	F(1, 110) = 0.974, p = .326, ηp2 = .009
	Type of Script*Aid	F(1, 110) = 4.832, p = .030, ηp2 = .042 *
	Type of Script*Number of Scripts	F(1, 110) = 0.012, p = .914, ηp2 = .000
	Aid*Number of Scripts	F(1, 110) = 0.276, p = .601, ηp2 = .002
	Type of Script*Aid*Number of Scripts	F(1, 110) = 0.051, p = .821, ηp2 = .000
B′′D	Type of Script	F(1, 110) = 0.076, p = .783, ηp2 = .000
	Aid	F(1, 110) = 1.570, p = .213, ηp2 = .014
	Number of Scripts	F(1, 110) = 0.395, p = .531, ηp2 = .004
	Type of Script*Aid	F(1, 110) = 0.207, p = .650, ηp2 = .002
	Type of Script*Number of Scripts	F(1, 110) = 1.677, p = .198, ηp2 = .015
	Aid*Number of Scripts	F(1, 110) = 3.378, p = .069, ηp2 = .030
	Type of Script*Aid*Number of Scripts	F(1, 110) = 0.244, p = .623, ηp2 = .002

Note:

* p < .05;

** p < .01;

*** p < .001