Table 1.

Results from a hierarchical linear regression with two models that each predict variation in the size of crowding zones

Model	R2	Task	β	r2	t	P
1	0.058	Saccades	0.240	0.058	3.113	0.002
2	0.429	Saccades	0.114	0.020	1.797	0.074
		Gap resolution	0.531	0.298	8.132	<0.001
		Bisection	0.222	0.073	3.517	0.001

Model 1 includes only saccade precision as a predictor (listed under ‘”Task”); model 2 includes all three comparison tasks as predictor variables, all added simultaneously into the model. For each variable, we report the total R² for each model, as well as standardized β, partial r², t, and P values for each predictor. Predictors that were significant at the P < 0.05 level are shown in boldface type.