title: A clarification of self-terminating versus exhaustive variances in serial and parallel models.
abstract: A recent study published in Perception & Psychophysics (Donnelly, Found, & Miller, 1999) employs response time (RT) variances (in the form of standard deviations) in addition to mean RTs. Variances can contribute greatly to model testing. However, there is a danger of perpetuating the kinds of logical and methodological errors that have long attended research employing mean RTs alone. This commentary clarifies the theoretical and methodological issues, points out some new results concerning variability in search processes, and indicates how to resolve the global and specific challenges associated with identifying psychological mechanisms.
authors.affiliation: Department of Psychology, Indiana University, Bloomington 47405-7007, USA. jtownsen@indiana.edu
authors.forename: J T
authors.initials: JT
authors.lastname: Townsend
mesh_terms: D001288:Attention; D004193:Discrimination Learning; D006801:Humans; D010364:Pattern Recognition, Visual; D011601:Psychophysics; D011930:Reaction Time; D012691:Serial Learning