RT-MPTs: Multinomial processing tree models and response latencies

RT-MPT：多项处理树模型和响应延迟

• 批准号: 314672073
• 负责人: Professor Dr. Karl Christoph Klauer
• 金额: --
• 依托单位: Abteilung Sozialpsychologie und Methodenlehre
• 依托单位国家: 德国
• 项目类别: Reinhart Koselleck Projects
• 财政年份: 2016
• 资助国家: 德国
• 起止时间: 2015-12-31 至 2022-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/314672073?language=en
• 关键词: RT; MPTs; Multinomial; processing; tree

The purpose of the project is to bring together two strong strands of research bent on analyzing mental processes: the modeling of response-time distributions and multinomial-processing tree (MPT) models. The idea is to extend MPT models in a fully general way to jointly account for responses and response times allowing one to disentangle the completion-time distributions of the processes considered in the MPT model. If successful, the project will allow one to gain deeper insight into the processing architecture of the many tasks and paradigms modeled by MPT models, it will provide a principled competitor to the now dominant paradigm of simple diffusionmodel analyses, it will allow one to test theoretical predictions about process-completion times of different processes implied by many current psychological theories, and it will support the development of more complete and hopefully more reliable and valid measurement models for processes of central psychological interest

该项目的目的是将致力于分析心理过程的两个强大的研究领域结合在一起：响应时间分布的建模和多项处理树（MPT）模型。这个想法是以一种完全通用的方式扩展 MPT 模型，以共同考虑响应和响应时间，从而允许人们理清 MPT 模型中考虑的过程的完成时间分布。如果成功，该项目将允许人们更深入地了解 MPT 模型建模的许多任务和范式的处理架构，它将为目前简单扩散模型分析的主导范式提供一个有原则的竞争对手，它将允许人们测试理论许多当前心理学理论所暗示的对不同过程的过程完成时间的预测，它将支持针对核心心理兴趣过程开发更完整且希望更可靠和有效的测量模型