Evaluating models of recognition memory using first- and second-choice responses

DOI10.1016/J.JMP.2010.11.004zbMath1219.91120OpenAlexW2058839818MaRDI QIDQ634595

Karl Christoph Klauer, David Kellen

Publication date: 16 August 2011

Published in: Journal of Mathematical Psychology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmp.2010.11.004

zbMATH Keywords

hybrid modelsrecognition memorysignal detection theorydiscrete-state modelssecond-choice responses

Mathematics Subject Classification ID

Memory and learning in psychology (91E40) Applications of statistics to psychology (62P15)

Related Items (3)

The flexibility of models of recognition memory: the case of confidence ratings ⋮ On a signal detection approach to \(m\)-alternative forced choice with bias, with maximum likelihood and Bayesian approaches to estimation ⋮ The flexibility of models of recognition memory: an analysis by the minimum-description length principle

Uses Software

• R

Cites Work

• Hierarchical multinomial processing tree models: a latent-trait approach
• On the statistical and theoretical basis of signal detection theory and extensions: unequal variance, random coefficient, and mixture models
• Estimating the dimension of a model
• Model comparisons and model selections based on generalization criterion methodology
• Model selection by normalized maximum likelihood
• Asymptotic Properties of Maximum Likelihood Estimators and Likelihood Ratio Tests Under Nonstandard Conditions
• A comparison of two models of performance in objective tests: Finite states versus continuous distributions
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