Modeling source-memory overdistribution

David van der Kellen Mendes, Henrik Singmann, Karl Christoph Klauer

Research output: Contribution to journalArticle

13 Scopus citations

Abstract

In a process-dissociation task of source memory, individuals have to judge whether items belong to one of different, mutually exclusive contexts (e.g., Source A, Source B). The acceptance rates to different test probes (e.g., "Source A?") can be used to estimate the probability that the item is assigned simultaneously to the different contexts ("Source A and Source B"), designated as source overdistribution. Brainerd et al. (2012) have argued that source overdistribution can be used to refute traditional models of source memory such as the One or Two High-Threshold Source-Memory models (1HTSM and 2HTSM; Batchelder and Riefer, 1990; Bayen et al., 1996). We reanalyze previously-published datasets, including Brainerd et al.'s data, and show that there is no support for the rejection of the 1HTSM/2HTSM. Moreover, through a hierarchical-Bayesian model comparison using data from two new experiments, we show that the 2HTSM is not only able to account for source overdistribution, but also provides the best account of the data among different candidate models. These new results suggest that source overdistribution is an outcome of different guessing processes.

Original languageEnglish (US)
Pages (from-to)216-236
Number of pages21
JournalJournal of Memory and Language
Volume76
DOIs
StatePublished - 2014
Externally publishedYes

    Fingerprint

Keywords

  • Familiarity
  • Hierarchical-Bayesian modeling
  • MPT modeling
  • Overdistribution
  • Recollection
  • Source memory

ASJC Scopus subject areas

  • Language and Linguistics
  • Experimental and Cognitive Psychology
  • Linguistics and Language
  • Artificial Intelligence
  • Neuropsychology and Physiological Psychology

Cite this