Table 1. Summary of the GLMs.

Variable	Schizotypy group contrast	Estimate/coefficient	s.e.	P-value
Years of education	High vs average	0.808	0.572	0.162
	Low vs average	1.915	0.557	0.001
	Low vs high	1.107	0.577	0.058
Smooth pursuit velocity gain (0.25 Hz)	High vs average	−0.021	0.032	0.78
	Low vs average	−0.096	0.031	0.005
	Low vs high	−0.075	0.032	0.053
Smooth pursuit velocity gain (0.50 Hz)	High vs average	−0.063	0.072	0.654
	Lowvs average	−0.213	0.070	0.006
	Low vs high	−0.150	0.073	0.099
Anti-saccade mean percentage errors	High vs average	13.676	6.266	0.074
	Low vs average	−7.169	6.080	0.466
	Low vs high	−20.844	6.366	0.003
3-Back mean number of commission errors	High vs average	0.647	0.291	0.068
	Low vs average	−0.155	0.283	0.848
	Low vs high	−0.801	0.296	0.019

Abbreviation: GLM, generalised linear model.

GLMs were constructed for each relevant variable from the canonical correlation analysis, with the three-level ordinal variable schizotypy group predicting the measured task performance variable. Contrast estimates for relative levels of schizotypy (rather than beta coefficients) and s.e. are shown.

Significant results are shown highlighted in bold for confidence level P<0.05.