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Analyzing the Dynamics of Auditory Distraction Using Multigroup Multilevel Structural Equation Modeling

Bibliographic Data

ID21641669
AuthorsSalome Li G M Keintzel (0000-0003-2692-0115, University of Kassel, corresponding author), Nicole Wetzel (0000-0002-2352-5366, Leibniz Institute for Neurobiology), Florian Scharf (0000-0003-1659-4774, University of Kassel)
Year2026
Volume33
Issue3
Pages346-361
Publication date2026-05-04
Open AccessYes
TypeARTICLE
VenueStructural Equation Modeling: A Multidisciplinary Journal (JOURNAL)
Journal identifiersISSN: 1070-5511 • E-ISSN: 1532-8007
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/10705511.2025.2598602
OpenAlexW7126119251
LanguageEN
References cited53

Advanced Structural Equation Models (SEMs) have gained popularity in recent years, but they are rarely applied in experimental psychology. We illustrate how analyzing longitudinal phenomena in repeated-measures experiments using SEM can enhance understanding of trial-level dynamics and fundamental cognitive processes. Previous work shows that children exposed to novel sounds during a visual task display increased response times in that trial and the following trial (post-novel effect), suggesting a carryover process. We reanalyzed data from adults and children to directly test this hypothesis, revealing age-related differences in attentional dynamics. We provide a comprehensive account of our analyses and parameter interpretations to help researchers who are interested in similar questions about the temporal dynamics of cognitive effects and complement our findings by a sample size simulation study assessing the model’s data requirements

Distraction · Structural equation modeling · System dynamics · Attachment and Relationship Dynamics · Early Childhood Education and Development · Stuttering Research and Treatment

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