Toward a complete decision model of item and source recognition: A discrete-state approach

Karl Christoph Klauer, David Kellen

Research output: Contribution to journalArticlepeer-review

61 Scopus citations


In source-monitoring experiments, participants study items from two sources (A and B). At test, they are presented Source A items, Source B items, and new items. They are asked to decide whether a test item is old or new (item memory) and whether it is a Source A or a Source B item (source memory). Hautus, Macmillan, and Rotello (2008) developed models, couched in a bivariate signal detection framework, that account for item and source memory across several data sets collected in a confidence-rating response format. The present article enlarges the set of candidate models with a discrete-state model. The model is a straightforward extension of Bayen, Murnane, and Erdfelder's (1996) multinomial model of source discrimination to confidence ratings. On the basis of the evaluation criteria adopted by Hautus et al., it provides a better account of the data than do Hautus et al.'s models.

Original languageEnglish (US)
Pages (from-to)465-478
Number of pages14
JournalPsychonomic Bulletin and Review
Issue number4
StatePublished - 2010
Externally publishedYes

ASJC Scopus subject areas

  • Experimental and Cognitive Psychology
  • Developmental and Educational Psychology
  • Arts and Humanities (miscellaneous)


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