ABSTRACT

Processing tree models offer a powerful research framework by which the contributions of cognitive processes to a task can be separated and quantified. The present article reviews a number of applications of processing tree models in the domain of social psychology in order to illustrate the steps to be taken in developing and validating a given model and applying it to the measurement and comparison of processes across experimental and quasi-experimental conditions. Process dissociation models are discussed as special cases of processing tree models. Crucial assumptions of processing tree models are considered and methods to overcome violations of such assumptions are reviewed. In addition to the application of processing tree models for the analysis of social and cognitive processes, their value is also discussed for the elicitation of truthful responses to socially sensitive questions.

摘要

处理树模型提供了一个强大的研究框架，通过该框架可以分离和量化认知过程对任务的贡献。本文回顾了社会心理学领域中处理树模型的许多应用，以说明开发和验证给定模型并将其应用于实验和准实验过程的测量和比较中要采取的步骤。条件。进程分离模型作为处理树模型的特殊情况进行了讨论。考虑了处理树模型的关键假设，并审查了克服违反此类假设的方法。除了将处理树模型应用于社会和认知过程分析之外，