Applying processing trees in social psychology

IF 10.1 2区 心理学 Q1 PSYCHOLOGY, SOCIAL
Mandy Hütter, K. C. Klauer
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引用次数: 80

Abstract

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.
加工树在社会心理学中的应用
处理树模型提供了一个强大的研究框架,通过该框架,认知过程对任务的贡献可以被分离和量化。本文回顾了处理树模型在社会心理学领域的一些应用,以说明在开发和验证给定模型以及将其应用于跨实验和准实验条件的过程的测量和比较中应采取的步骤。作为加工树模型的特例,讨论了加工分离模型。考虑了处理树模型的关键假设,并审查了克服违反这些假设的方法。除了应用处理树模型分析社会和认知过程外,还讨论了它们在激发对社会敏感问题的真实反应方面的价值。
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来源期刊
CiteScore
15.30
自引率
2.80%
发文量
6
期刊介绍: The "European Review of Social Psychology (ERSP)" is a distinguished international journal that operates under the patronage of the European Association of Social Psychology. It serves as a platform for comprehensive, theory-driven reviews that cover the broad spectrum of social psychology. The journal is open to submissions from authors worldwide and is guided by a prestigious international editorial board. ERSP is particularly interested in publishing reviews that reflect the author's own research program, as demonstrated by their publications in leading peer-reviewed journals. The journal values theoretical contributions that are grounded in a substantial empirical foundation, situating the research within the broader context of existing literature and offering a synthesis that goes beyond the individual articles. In addition to these in-depth reviews, ERSP also welcomes conventional reviews and meta-analyses, further enriching the journal's offerings. By focusing on high-quality, evidence-based research, ERSP contributes significantly to the advancement of knowledge in social psychology and fosters a deeper understanding of human social behavior across cultures and societies.
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