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. Author manuscript; available in PMC: 2009 Sep 11.
Published in final edited form as: Cogn Emot. 2009 Jan 1;23(1):181–205. doi: 10.1080/02699930801976770

TABLE 2.

Average model parameters from fits of the diffusion model for each experiment

Drift rates Filler Emotional
Exp. 1 (Lex) HF word LF word Non-word Pos Neg
Non-dysphoric 0.503 (0.19) 0.212 (0.08) −0.308 (0.10) 0.453 (0.23) 0.336 (0.12)
Dysphoric 0.396 (0.09) 0.182 (0.05) −0.248 (0.12) 0.363 (0.13) 0.333 (0.12)
Exp. 2 (Rn) HF old HF new LF old LF new Pos old Neg old
Non-dysphoric 0.106 (0.06) −0.167 (0.09) 0.198 (0.07) −0.263 (0.08) 0.234 (0.08) 0.171 (0.10)
Dysphoric 0.101 (0.07) −0.091 (0.10) 0.168 (0.08) −0.214 (0.09) 0.132 (0.07) 0.158 (0.12)
Exp. 3 (Rn) HF old HF new LF old LF new Pos new Neg new
Non-dysphoric 0.092 (0.08) −0.118 (0.09) 0.248 (0.09) −0.0301 (0.10) −0.181 (0.09) −0.256 (0.14)
Dysphoric 0.089 (0.07) −0.112 (0.07) 0.173 (0.11) −0.214 (0.11) −0.102 (0.10) −0.108 (0.11)

Response criteria Boundary sep. (a) Starting point (z) Bias (z/a) Non-decision time (Ter)

Exp. 1 (Lex)
Non-dysphoric .128 (.02) .064 (.01) .506 (.03) .428 (.04)
Dysphoric .149 (.05) .069 (.02) .525 (.05) .432 (.05)
Exp. 2 (Rn)
Non-dysphoric .138 (.03) .058 (.02) .579 (.05) .576 (.06)
Dysphoric .137 (.02) .059 (.01) .576 (.05) .538 (.07)
Exp. 3 (Rn)
Non-dysphoric .150 (.03) .064 (.01) .573 (.06) .571 (.06)
Dysphoric .126 (.03) .054 (.01) .563 (.08) .515 (.10)

Notes: Standard deviations are shown in parenthesis. Lex=lexical decision task; Rn=recognition memory task; HP=high frequency; LF=low frequency; Pos=positively valenced words; Neg=negatively valenced words; old=studied words; new=unstudied words; a=boundary separation; Ter=non-decision component; z=starting point; Bias=relative distance between starting point and boundaries (see text for details). Negative drift rates correspond to the “non-word” boundary in Exp. 1 and the “new” boundary in Exps 2 and 3. For a boundary separation of.10: drift rates of.1, .2, and .3 correspond to accuracy of .70, .85, and .93, respectively.