The Fixed-Links Model in Combination With the Polynomial Function as a Tool for Investigating Choice Reaction Time Data
The Fixed-Links Model in Combination With the Polynomial Function as a Tool for Investigating Choice Reaction Time Data
复制标题
固定链接模型与多项式函数相结合作为研究选择反应时间数据的工具
DOI：
10.1207/s15328007sem1303_4
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发表时间：
2006
期刊：
影响因子：
--
通讯作者：
K. Schweizer
中科院分区：
文献类型：
--
作者：
K. Schweizer
提出了一个具有显性变量和潜变量固定关系的选择反应时间模型。固定的数来源于多项式函数。考虑了两种选项：基于组件的选项（多项式函数的每个组件有一个潜在变量）和基于复合的选项（组件的加权和有一个潜在变量）。选择反应时间程序产生对需要监测的不同数量刺激的反应时间。将该模型应用于这些数据，可以识别多项式函数的组成部分，这些组成部分描述了不同数量的潜在刺激对反应时间的影响。对元分析研究数据的调查显示，具有常数和二次分量的模型是最合适的。基于组件和基于复合的选项都会导致这种结果。事实证明，基于复合材料的选择是更可靠的选择。
A model with fixed relations between manifest and latent variables is presented for investigating choice reaction time data. The numbers for fixation originate from the polynomial function. Two options are considered: the component-based (1 latent variable for each component of the polynomial function) and composite-based options (1 latent variable for the weighted sum of components). The choice reaction time procedure yields reaction times for different numbers of stimuli that need to be monitored. The application of the model to such data enables the identification of the components of the polynomial function, which describe the effects of the different numbers of potential stimuli on reaction time. The investigation of the data stemming from a meta-analytic study revealed that the model with constant and quadratic components was most appropriate. Both the component-based and composite-based options led to this result. The composite-based option proved to be the more robust alternative.
影响因子：
4.6
作者：
MCARDLE, JJ;EPSTEIN, D
通讯作者：
EPSTEIN, D