title: Transfer in artificial grammar learning: the role of repetition information.
abstract: In this article, the authors report 2 experiments that investigated the sources of information used in transfer and nontransfer tasks in artificial grammar learning. Multiple regression analyses indicated that 2 types of information about repeating elements were crucial for performance in both tasks: information about the repetition of adjacent elements and information about repetition of elements in the whole item. Similarity of test items to specific training items and chunk information influenced participants' judgments only in nontransfer tasks.
authors.affiliation: Faculty of Psychology, Philipps-Universität Marburg, 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: D000328:Adult; D003210:Concept Formation; D005260:Female; D006801:Humans; D008297:Male; D011939:Mental Recall; D011578:Psycholinguistics; D012044:Regression Analysis; D012660:Semantics; D014163:Transfer, Psychology; D014706:Verbal Learning