Department of Psychology-Cognitive Psychology.
Psychol Rev. 2023 Apr;130(3):841-852. doi: 10.1037/rev0000328. Epub 2021 Sep 27.
Several measurement models have been proposed for data from the continuous-reproduction paradigm for studying visual working memory (WM): The original mixture model (Zhang & Luck, 2008) and its extension (Bays et al., 2009); the interference measurement model (IMM; Oberauer et al., 2017), and the target confusability competition (TCC) model (Schurgin et al., 2020). This article describes a space of possible measurement models in which all these models can be placed. The space is defined by three dimensions: (a) The choice of an activation function (von-Mises or Laplace), (b) the choice of a response-selection function (variants of Luce's choice rule or of signal-detection theory), (c) and whether or not memory precision is assumed to be a constant over manipulations affecting memory. A factorial combination of these three variables generates all possible models in the model space. Fitting all models to eight data sets revealed a new model as empirically most adequate, which combines a von-Mises activation function with a signal-detection response-selection rule. The precision parameter can be treated as a constant across many experimental manipulations, though it probably varies between individuals. All modeling code and the raw data modeled are available on the OSF: https://osf.io/zwprv/ (PsycInfo Database Record (c) 2023 APA, all rights reserved).
已有几种测量模型被提出，用于研究视觉工作记忆（WM）的连续再现范式中的数据：原始混合模型（Zhang & Luck，2008）及其扩展模型（Bays 等人，2009）；干扰测量模型（IMM；Oberauer 等人，2017），以及目标混淆竞争（TCC）模型（Schurgin 等人，2020）。本文描述了一个可能的测量模型空间，所有这些模型都可以放置在其中。这个空间由三个维度定义：（a）激活函数的选择（von-Mises 或 Laplace），（b）响应选择函数的选择（Luce 选择规则或信号检测理论的变体），以及（c）是否假设记忆精度在影响记忆的操作中保持不变。这三个变量的组合可以生成模型空间中的所有可能模型。对这八个数据集拟合所有模型后，发现了一种新的模型，它将 von-Mises 激活函数与信号检测响应选择规则相结合，是最符合经验的模型。精度参数可以被视为在许多实验操作中保持不变，尽管它可能在个体之间有所不同。所有的建模代码和建模的原始数据都可以在 OSF 上获得：https://osf.io/zwprv/（PsycInfo 数据库记录（c）2023 APA，保留所有权利）。
