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. Author manuscript; available in PMC: 2011 Feb 1.
Published in final edited form as: J Math Psychol. 2010 Feb 1;54(1):39–52. doi: 10.1016/j.jmp.2010.01.004

Table 7.

Best fitting parameter values from the diffusion model in Experiment 2.

Low Anxiety a z/a Ter η sz st po vtarget vlure X2(12)
  Post-correct 0.125
(.03)		 0.544
(.09)		 0.538
(.05)		 0.233
(.09)		 0.036
(.04)		 0.173
(.10)		 0.002
(.01)		 0.128
(.09)		 −0.249
(.11)		 20.8
(8.3)
  Post-error 0.121
(.03)		 0.594
(.13)		 0.516
(.06)		 0.183
(.12)		 0.028
(.03)		 0.223
(.11)		 0.007
(.02)		 0.078
(.11)		 −0.200
(.18)		 24.3
(14)
High Anxiety
  Post-correct 0.125
(.03)		 0.554
(.08)		 0.551
(.05)		 0.235
(.08)		 0.042
(.04)		 0.176
(.07)		 0.005
(.02)		 0.153
(.09)		 −0.229
(.11)		 21.1
(10)
  Post-error 0.136
(.04)		 0.603
(.12)		 0.515
(.06)		 0.194
(.11)		 0.042
(.04)		 0.197
(.11)		 0.007
(.03)		 0.091
(.10)		 −0.206
(.14)		 19.81
(11)

Note. Recovered values are averages across subjects (SDs in parenthesis), a = boundary separation; z/a = position of starting point relative to the boundaries (values above .5 indicate a bias to respond “old”); Ter = nondecision component; η = variability in drift across trials; sz = variability in starting point; st = variability in nondecision component; po = probability of outlier responses; vtarget = drift rate for targets; vlure=drift rate for lures. Post-correct refers to trials following a correct response. Post-error refers to trials following an error.