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Integrating Intra- and Interindividual Phenomena in Psychological Theories.
Borsboom, Denny; Haslbeck, Jonas.
Afiliação
  • Borsboom D; Department of Psychological Methods, University of Amsterdam.
  • Haslbeck J; Department of Psychological Methods, University of Amsterdam.
Multivariate Behav Res ; : 1-20, 2024 Jul 11.
Article em En | MEDLINE | ID: mdl-38989982
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Multivar. behav. res. (Online) / Multivariate Behav Res / Multivariate behavioral research (Online) Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Multivar. behav. res. (Online) / Multivariate Behav Res / Multivariate behavioral research (Online) Ano de publicação: 2024 Tipo de documento: Article