title: Classification and recognition in artificial grammar learning: Analysis of receiver operating characteristics.
abstract: In two experiments we investigated recognition and classification judgements using an artificial grammar learning paradigm. In Experiment 1, when only new test items had to be judged, analysis of z-transformed receiver operating characteristics (z-ROCs) revealed no differences between classification and recognition. In Experiment 2, where we included old test items, z-ROCs in the two tasks differed, suggesting that judgements relied on different types of information. The results are interpreted in terms of heuristics that people use when making classification and recognition judgements.
authors.affiliation: Fachbereich Psychologie, Philipps-Universitat Marburg, Gutenbergstrasse 18, D-35032 Marburg, Germany. lotza@staff.uni-marburg.de
authors.forename: Anja
authors.initials: A
authors.lastname: Lotz
authors.forename: Annette
authors.initials: A
authors.lastname: Kinder
mesh_terms: D004193:Discrimination Learning / Q000502:physiology*; D005260:Female; D006801:Humans; D007802:Language; D008297:Male; D012372:ROC Curve; D021641:Recognition, Psychology / Q000502:physiology*; D014706:Verbal Learning / Q000502:physiology*