Classification and recognition in artificial grammar learning: Analysis of receiver operating characteristics.

Full 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.

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Author information

Author/s: Lotz, Anja (A); Kinder, Annette (A);

Affiliation: Fachbereich Psychologie, Philipps-Universitat Marburg, Gutenbergstrasse 18, D-35032 Marburg, Germany. lotza(-atsign-)staff.uni-marburg.de

Journal and publication information

Publication Type: Comparative Study; Journal Article; Research Support, Non-U.S. Gov't

Journal: Quarterly journal of experimental psychology (2006) (Q J Exp Psychol (Colchester)), published in England. (Language: eng)

Reference: 2006-Apr; vol 59 (issue 4) : pp 667-82

Dates: Created 2006/05/18; Completed 2006/07/06; Revised 2006/11/15;

PMID: 16707356, status: MEDLINE (last retrieval date: 12/26/2008)

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

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MeSH headings (categories)

This article was linked to the MESH Headings shown below.

Discrimination Learning - physiology
Female
Humans
Language

Male
ROC Curve
Recognition (Psychology) - physiology
Verbal Learning - physiology

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