Table 1.

Generalized Linear Mix Model Values for Treatment Conditions

	Contiguous Subsets			Random Subsets
T3 (ms)	Mean	SEM	Backtransformed	Mean	SEM	Backtransformed
1	1.056	0.369	0.742	1.435	0.382	0.808
3	0.879	0.363	0.707	0.537	0.359	0.631
9	0.213	0.354	0.553	0.284	0.354	0.570
27	-0.442	0.358	0.391	-1.425	0.386	0.194

The Generalized Linear Mixed Model transforms the percent recognition of shapes into logit values, i.e., log_e (proportion/1-proportion). The mean logit values and the standard errors of these means are given for each T3 interval for the contiguous and random subset data. The logit values have also been backtransformed into model predictions of recognition rate.