Integrating Intra- and Interindividual Phenomena in Psychological Theories.

IF 5.3 3区 心理学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Multivariate Behavioral Research Pub Date : 2024-11-01 Epub Date: 2024-07-11 DOI:10.1080/00273171.2024.2336178
Denny Borsboom, Jonas Haslbeck
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引用次数: 0

Abstract

Psychological science is divided into two distinct methodological traditions. One tradition seeks to understand how people function at the individual level, while the other seeks to understand how people differ from each other. Methodologies that have grown out of these traditions typically rely on different sources of data. While both use statistical models to understand the structure of the data, and these models are often similar, Molenaar (2004) showed that results from one type of analysis rarely transfer to the other, unless unrealistic assumptions hold. This raises the question how we may integrate these approaches. In this paper, we argue that formalized theories can be used to connect intra- and interindividual levels of analysis. This connection is indirect, in the sense that the relationship between theory and data is best understood through the intermediate level of phenomena: robust statistical patterns in empirical data. To illustrate this, we introduce a distinction between intra- and interindividual phenomena, and argue that many psychological theories will have implications for both types of phenomena. Formalization provides us with a methodological tool for investigating what kinds of intra- and interindividual phenomena we should expect to find if the theory under consideration were true.

在心理学理论中整合个体内部和个体之间的现象。
心理科学分为两种不同的方法论传统。一种传统旨在了解人如何在个体层面发挥作用,而另一种传统则旨在了解人与人之间的差异。从这些传统中发展出来的方法论通常依赖于不同的数据来源。虽然两者都使用统计模型来了解数据的结构,而且这些模型通常都很相似,但莫莱纳尔(2004 年)指出,除非有不切实际的假设,否则一种分析方法的结果很少能转换到另一种分析方法中。这就提出了如何整合这些方法的问题。在本文中,我们认为形式化的理论可以用来连接个体内部和个体之间的分析。这种联系是间接的,即理论与数据之间的关系最好通过中间层次的现象来理解:经验数据中稳健的统计模式。为了说明这一点,我们对个体内现象和个体间现象进行了区分,并认为许多心理学理论对这两类现象都有影响。形式化为我们提供了一种方法论工具,用于研究如果所考虑的理论是正确的,我们应该期待发现哪些类型的个体内和个体间现象。
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来源期刊
Multivariate Behavioral Research
Multivariate Behavioral Research 数学-数学跨学科应用
CiteScore
7.60
自引率
2.60%
发文量
49
审稿时长
>12 weeks
期刊介绍: Multivariate Behavioral Research (MBR) publishes a variety of substantive, methodological, and theoretical articles in all areas of the social and behavioral sciences. Most MBR articles fall into one of two categories. Substantive articles report on applications of sophisticated multivariate research methods to study topics of substantive interest in personality, health, intelligence, industrial/organizational, and other behavioral science areas. Methodological articles present and/or evaluate new developments in multivariate methods, or address methodological issues in current research. We also encourage submission of integrative articles related to pedagogy involving multivariate research methods, and to historical treatments of interest and relevance to multivariate research methods.
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