Assessing the Validity of Multinomial Models Using Extraneous Variables: An Application to Prospective Memory
Assessing the Validity of Multinomial Models Using Extraneous Variables: An Application to Prospective Memory
复制标题
使用无关变量评估多项模型的有效性：前瞻性记忆的应用
DOI：
10.1080/17470218.2011.586708
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发表时间：
2011
影响因子：
1.7
通讯作者：
T. Meiser
中科院分区：
文献类型：
--
作者：
Jan Rummel;C. Boywitt;T. Meiser
多项处理树 (MPT) 模型类别已广泛用于认知心理学中，以模拟潜在的认知过程。 MPT 模型实用性的关键在于其心理有效性。一般来说，MPT 模型的有效性是通过表明其参数受到理论上有意义的实验操作的选择性和可预测影响来证明的。另一种方法是测试模型参数和旨在测量相同认知过程的其他无关测量的收敛有效性。在这里，我们提出了建构有效性的概念（Cronbach & Meehl，1955）作为 MPT 建模中模型有效性的标准，并通过基于事件的前瞻性记忆的 MPT 模型的示例展示了如何有效地利用这种方法。为此，我们研究了模型参数的收敛有效性，并在一系列实验设置中建立了前瞻性记忆过程的无关测量，我们发现两个指数之间缺乏收敛有效性。在概念层面上，这些结果说明了测试收敛有效性的重要性。此外，它们对前瞻性记忆研究也有影响，因为它们证明基于事件的前瞻性记忆的 MPT 模型无法区分有助于前瞻性记忆表现的不同过程。
The class of multinomial processing tree (MPT) models has been used extensively in cognitive psychology to model latent cognitive processes. Critical for the usefulness of a MPT model is its psychological validity. Generally, the validity of a MPT model is demonstrated by showing that its parameters are selectively and predictably affected by theoretically meaningful experimental manipulations. Another approach is to test the convergent validity of the model parameters and other extraneous measures intended to measure the same cognitive processes. Here, we advance the concept of construct validity (Cronbach & Meehl, 1955) as a criterion for model validity in MPT modelling and show how this approach can be fruitfully utilized using the example of a MPT model of event-based prospective memory. For that purpose, we investigated the convergent validity of the model parameters and established extraneous measures of prospective memory processes over a range of experimental settings, and we found a lack of convergent validity between the two indices. On a conceptual level, these results illustrate the importance of testing convergent validity. Additionally, they have implications for prospective memory research, because they demonstrate that the MPT model of event-based prospective memory is not able to differentiate between different processes contributing to prospective memory performance.
关于多项处理树模型的最小描述长度复杂度。
影响因子：
1.8
作者：
Wu,Hao;Myung,JayI;Batchelder,WilliamH
通讯作者：
Batchelder,WilliamH
DOI：
10.1037/0278-7393.30.4.756
发表时间：
2004-07-01
影响因子：
2.6
作者：
Smith, RE;Bayen, UJ
通讯作者：
Bayen, UJ
影响因子：
2.4
作者：
Cohen, Anna-Lisa;Jaudas, Alexander;Gollwitzer, Peter M.
通讯作者：
Gollwitzer, Peter M.