通过潜在马尔可夫因子分析探索定性消极和积极情绪粒度的人内差异性

IF 5.3 3区心理学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

Multivariate Behavioral Research Pub Date : 2024-04-11 DOI:10.1080/00273171.2024.2328381

Marcel C. Schmitt, Leonie V. D. E. Vogelsmeier, Yasemin Erbas, Simon Stuber, Tanja Lischetzke

引用次数: 0

摘要

情绪粒度（EG）是指个体以细微而具体的方式描述其情绪体验的能力。在本文中，我们建议研究人员采用潜马尔可夫因子分析法来分析情感体验。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Exploring Within-Person Variability in Qualitative Negative and Positive Emotional Granularity by Means of Latent Markov Factor Analysis

Emotional granularity (EG) is an individual’s ability to describe their emotional experiences in a nuanced and specific way. In this paper, we propose that researchers adopt latent Markov factor an...

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来源期刊

Multivariate Behavioral Research 数学-数学跨学科应用

CiteScore

7.60

自引率

2.60%

发文量

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.