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. Author manuscript; available in PMC: 2016 Apr 27.
Published in final edited form as: Decision (Wash D C ). 2015 Apr 27;2015:10.1037/dec0000030. doi: 10.1037/dec0000030

Table 4. Correlations between model parameters for fits to small numbers of trials with model parameters from fits to all the trials.

Task Trial block a Ter v1 v2 v3 v4
Numerosity 1-80 0.278 0.675 0.247 0.292
81-160 0.735 0.578 0.304 0.304
161-240 0.687 0.532 0.260 0.306
1-160 0.617 0.718 0.377 0.404
161-320 0.773 0.628 0.546 0.438
1-320 0.733 0.783 0.538 0.467
321-640 0.877 0.852 0.725 0.543
Lexical Decision 1-120 0.704 0.515 0.357 0.526 0.474 0.467
121-240 0.715 0.487 0.347 0.568 0.476 0.497
241-360 0.809 0.670 0.359 0.584 0.654 0.447
1-240 0.795 0.597 0.424 0.625 0.611 0.438
241-480 0.871 0.760 0.363 0.609 0.731 0.394
1-480 0.860 0.777 0.525 0.711 0.730 0.485
481-960 0.889 0.802 0.408 0.722 0.844 0.473

Note: v1=vE and v2=vD for numerosity (vE and vD are the drift rates for the easy and difficult conditions respectively), and v1=vH, v2=vL, v3=vV, and v4=vN for lexical decision (vH, vL, vV, and vN are the drift rates for high, low, and very low frequency words and for nonwords respectively). a is boundary separation and Ter is nondecision component of response time.