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Table 2 Model fits for Experiments 1 and 2 and model selection using Bayesian Predictive Information Criterion (BPIC)

From: Motor speed does not impact the drift rate: a computational HDDM approach to differentiate cognitive and motor speed

Model

Drift Rate (v)

Boundary separation (a)

Non-decision time (Ter)

Experiment 1

Experiment 2

BPIC

Difference from best model

BPIC

Difference from best model

Model 1 (full model)

SS, SPC

SS, SPC

SS, SPC

24,498

34

55,216

100

Model 2

SPC

SS, SPC

SS, SPC

25,111

647

55,510

394

Model 3

SS

 

SS, SPC

24,786

322

55,758

642

Model 4

SS

SS, SPC

SS, SPC

24,464

0

55,150

34

Model 5

SS

SS

SS, SPC

24,664

200

55,116

0

Model 6

SS

SPC

SS, SPC

24,592

128

55,765

649

Model 7

SS

SS, SPC

SS

24,697

233

55,474

358

Model 8

SS

SS, SPC

SPC

25,021

557

55,574

458

Model 9

 

SS, SPC

 

26,058

1594

56,492

1376

  1. Table indicates parameter estimates that were allowed to vary for each model
  2. SS set size, SPC spring pressure condition