Table 2.

Multilevel regression of frequency on time, thinking period and condition assignment.

Model	Level 1 parameter	Level 2 parameter	Estimate	S.E.	t
Saturated model	1st min (β0)	Intercept	3.657**	0.306	11.963
		Period	−1.080**	0.257	−4.203
		Condition	1.040*	0.431	2.412
		Period × condition	−0.799*	0.364	−2.198
	Slope (β1)	Intercept	−1.923**	0.305	−6.304
		Period	0.399	0.414	0.964
		Condition	−0.481	0.430	−1.119
		Period × condition	0.550	0.585	0.940
	Curvature (β2)	Intercept	0.398**	0.094	4.215
		Period	−0.052	0.132	−0.391
		Condition	0.074	0.133	0.551
		Period × condition	−0.107	0.187	−0.575
	Control (βc)	Intercept	0.00	0.01	0.17
Post-Hoc model	1st min (β0)	Intercept	4.129**	0.213	19.370
		Period	−1.375**	0.156	−8.798
	Slope (β1)	Intercept	−2.003**	0.164	−12.201
		Period	0.358**	0.836	4.278
	Curvature (β2)	Intercept	0.382**	0.048	7.979
	Control (βc)	Intercept	−0.001	0.005	−0.114

Note: For variable period, 0=1st period, 1=2nd period. For variable condition, 0=monitor condition, 1=suppress condition.

^*p<0.05.

^**p<0.001.