RT-MPTs: process models for response-time distributions based on multinomial processing trees with applications to recognition memory

DOI10.1016/j.jmp.2017.12.003zbMath1403.91296OpenAlexW2791401775MaRDI QIDQ1645047

David Kellen, Karl Christoph Klauer

Publication date: 28 June 2018

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

Full work available at URL: https://doi.org/10.1016/j.jmp.2017.12.003

zbMATH Keywords

hierarchical modelsresponse timesmultinomial models

Mathematics Subject Classification ID

Applications of statistics to actuarial sciences and financial mathematics (62P05) Memory and learning in psychology (91E40)

Related Items (10)

Modeling within-item dependencies in parallel data on test responses and brain activation ⋮ A multinomial processing tree inferred from age-related memory-error probabilities: possibility of inferring more if response times were available ⋮ Parametric supplements to systems factorial analysis: identifying interactive parallel processing using systems of accumulators ⋮ Multinomial processing trees with response times: changing speed and accuracy by selectively influencing a vertex ⋮ Random effects multinomial processing tree models: a maximum likelihood approach ⋮ Extending RT-MPTs to enable equal process times ⋮ Selecting amongst multinomial models: an apologia for normalized maximum likelihood ⋮ Tree inference: selective influence in multinomial processing trees with supplementary measures such as response time ⋮ Tree inference: uniqueness of multinomial processing trees representing response time when two factors selectively influence processes ⋮ Tree inference: response time in multinomial processing trees, representation and uniqueness of parameters

Uses Software

• BaM
• JAGS

Cites Work

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