四重模型:结构、算法与应用

The Quad Model:Its Structure,Algorithm and Application

四重模型(The Quadruple Process Model,简称Quad Model)是一个可对内隐任务中四种性质不同加工的独立、同时性影响进行测量的多项式模型。首先采用武器识别任务等实例对模型参数、结构、数据分析及可行性进行说明;随后介绍该模型在内隐研究中的应用,涉及情境易变性与可塑性、个体与群体差异及内隐任务外行为等三类问题;最后从多方面对其进行评价与展望。

The Quadruple process model is a multi-nomial model that can measur the independent and simultaneous sntluences or iour qualitatively distinct processes in the implicit task. Firstly, this article illustrates the parameter, structure, data analysis and validation of the quad model by citing examples such as a weapon identification task and so on. Secondly, it describes the applications of the quad model in implicit studies, which includes three main problems： the contextual variability and malleability, individual and group differences, and extra-task behavior. Finally, it makes an evaluation and prediction of the quad model from several aspects.