title: Modeling associative recognition: a comparison of two-high-threshold, two-high-threshold signal detection, and mixture distribution models.
abstract: A 2-high-threshold signal detection (HTSDT) model, a mixture distribution (SON) model, and 2-high-threshold (HT) models with responses distributed over 1 or several response categories were fit to results of 6 experiments from 2 studies on associative recognition: R. Kelley and J. T. Wixted (2001) and A. P. Yonelinas (1997). HTSDT assumes that associative recognition is based on conscious recollection and familiarity assessment, whereas according to SON and HT, associative information results in a shift of familiarity. The modeling results cast doubt on the prominent role of conscious recollection, and as far as models are valid, parameter estimation suggests 2 processes in associative recognition: a shift in familiarity that is due to associative information and the determination of the source of familiarity of pairs.
authors.affiliation: University of Fribourg, Fribourg, Switzerland. siegfried.macho@unifr.ch
authors.forename: Siegfried
authors.initials: S
authors.lastname: Macho
mesh_terms: D001244:Association; D006801:Humans; D008960:Models, Psychological; D021641:Recognition, Psychology; D017603:Signal Detection, Psychological