Recognition Memory Models and Binary- Response ROCs: A Comparison by Minimum Description Length

Kellen, David and Klauer, Karl Christoph and Bröder, Arndt. (2013) Recognition Memory Models and Binary- Response ROCs: A Comparison by Minimum Description Length. Psychonomic Bulletin & Review, 20 (4). pp. 693-719.

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Official URL: http://edoc.unibas.ch/51176/

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Model comparison in recognition memory has frequently relied on receiver operating characteristics (ROC) data. We present a meta-analysis of binary-response ROC data that builds on previous such meta-analyses and extends them in several ways. Specifically, we include more data and consider a much more comprehensive set of candidate models. Moreover, we bring to bear modern developments in model selection on the current selection problem. The new methods are based on the minimum description length framework, leading to the normalized maximum likelihood (NML) index for assessing model performance, taking into account differences between the models in flexibility due to functional form. Overall, NML results for individual ROC data indicate a preference for a discrete-state model that assumes a mixture of detection and guessing states.
Faculties and Departments:07 Faculty of Psychology > Departement Psychologie > Forschungsbereich Sozial-, Wirtschafts- und Entscheidungspsychologie > Cognitive and Decision Sciences (Mata)
UniBasel Contributors:van der Kellen, David
Item Type:Article, refereed
Article Subtype:Research Article
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:06 Feb 2018 15:30
Deposited On:06 Feb 2018 15:30

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