Table 1.

Model comparison of the effects on pleasantness ratings. The table reports a Likelihood ratio test between models where one predictor at a time was entered. AIC = Akaike Information Criterion. No.par = number of parameters of the model.

Predictors	No.par	AIC	logLik	LR.stat	df	Pr(>Chisq)
RT	7	16,981	−8483	4.37	1	0.037
Condition	10	16,984	−8482	2.41	3	0.492
Cluster	13	16,989	−8482	1.34	3	0.721
Condition × Cluster	22	17,000	−8478	7.03	9	0.634