trial数量对DDM的影响

Created: June 11, 2023 9:26 AM Last edited by: Pan Wanke Last edited time: June 11, 2023 9:26 AM Owner: Pan Wanke

只看four main parameters的话，不需要太多trial

• 拟合单个被试时，建议的trial为80

• 对于分层模型，因为shrinkage的原因，原则上20-40就可以了。但这个可能需要自己做sensitivity analysis去检查一下。

• 一个parameter recovery的研究发现 40 个trials 也会比20个trials减少蛮多estimation error（当然这个error的scale和影响程度可以讨论）

  

  Pedersen, M. L., & Frank, M. J. (2020). Simultaneous Hierarchical Bayesian Parameter Estimation for Reinforcement Learning and Drift Diffusion Models: A Tutorial and Links to Neural Data. Computational Brain & Behavior, 3(4), 458–471. [https://doi.org/10.1007/s42113-020-00084-w](https://doi.org/10.1007/s42113-020-00084-w)

  Lerche, V., Voss, A., & Nagler, M. (2017). How many trials are required for parameter estimation in diffusion modeling? A comparison of different optimization criteria. Behavior Research Methods, 49(2), 513–537. [https://doi.org/10.3758/s13428-016-0740-2](https://doi.org/10.3758/s13428-016-0740-2)