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Exploring within-person variability in qualitative negative and positive emotional granularity by means of latent Markov factor analysis

Schmitt, Marcel C. 1; Vogelsmeier, Leonie V. D. E.; Erbas, Yasemin; Stuber, Simon; Lischetzke, Tanja
1 Institut für Sport und Sportwissenschaft (IfSS), Karlsruher Institut für Technologie (KIT)

Abstract:

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 analysis (LMFA) to investigate within-person variability in qualitative EG (i.e., variability in distinct granularity patterns between specific emotions across time). LMFA clusters measurement occasions into latent states according to state-specific measurement models. We argue that state-specific measurement models of repeatedly assessed emotion items can provide information about qualitative EG at a given point in time. Applying LMFA to the area of EG for negative and positive emotions separately by using data from an experience sampling study with 11,662 measurement occasions across 139 participants, we found three latent EG states for the negative emotions and three for the positive emotions. Momentary stress significantly predicted transitions between the EG states for both the negative and positive emotions. We further identified two and three latent classes of individuals who differed in state trajectories for negative and positive emotions, respectively. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000186120
Veröffentlicht am 27.10.2025
Originalveröffentlichung
DOI: 10.1080/00273171.2024.2328381
Scopus
Zitationen: 2
Web of Science
Zitationen: 3
Dimensions
Zitationen: 3
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Sport und Sportwissenschaft (IfSS)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2024
Sprache Englisch
Identifikator ISSN: 0027-3171, 1532-7906
KITopen-ID: 1000186120
Erschienen in Multivariate behavioral research
Verlag Routledge
Band 59
Heft 4
Seiten 781-800
Vorab online veröffentlicht am 11.04.2024
Schlagwörter Emotion, emotional granularity, emotion differentiation, latent Markov factor analysis, qualitative differences
Nachgewiesen in Dimensions
OpenAlex
Web of Science
Scopus
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