Summary of linear mixed regression analyses.

Regression model minimization used the Akaike Information Criterion (AIC) and likelihood ratio. Three factors were analyzed: display condition (3 levels), set size (continuous factor) and temporal rate (7 discrete levels) plus one random effect (24: participants). Six models were tested to explain the data with increasing order of complexity, namely: model (1): the effect of display condition; model (2): model 1+ set size; model (3): model 2+ temporal rate; model (4): model 3+ display condition × set size; model (5): model 4+ display condition × temporal rate; model (6): model 5+ set size × temporal rate. Bold models designate those variables significantly contributing to model estimate.