A multinomial processing tree inferred from age-related memory-error probabilities: possibility of inferring more if response times were available

DOI10.1016/J.JMP.2020.102433zbMath1455.91198OpenAlexW3049672520MaRDI QIDQ826911

Pritha Dhir, Richard Schweickert, Xiaofang Zheng, Marie Poirier

Publication date: 6 January 2021

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

Full work available at URL: https://doi.org/10.1016/j.jmp.2020.102433

zbMATH Keywords

agingmultinomial processing treeselective influencepaired associate learning

Mathematics Subject Classification ID

Memory and learning in psychology (91E40)

Uses Software

• MPTinR

Cites Work

• Multiplicatively interacting factors selectively influencing parameters in multiple response class processing and rate trees
• Tree inference with factors selectively influencing processes in a processing tree
• RT-MPTs: process models for response-time distributions based on multinomial processing trees with applications to recognition memory
• 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
• Multinomial processing trees with response times: changing speed and accuracy by selectively influencing a vertex
• Tree inference: response time in multinomial processing trees, representation and uniqueness of parameters
• Extending general processing tree models to analyze reaction time experiments.
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