ArticleJournal of abnormal child psychology2018
Dimensional Latent Structure of Early Disruptive Behavior Disorders: A Taxometric Analysis in Preschoolers.
Article in Journal of abnormal child psychology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 5 citations in OpenAlex.
- Dimensional latent structure of internet gaming disorder symptoms in four representative surveys of German adolescents: results from taxometric analyses.Frontiers in psychiatry · 2025Article
- Male Caregivers and Engagement in a Family Strengthening Program for Child Disruptive Behavior Disorders.Community mental health journal · 2022Article
- Dimensional Latent Structure of Callous-Unemotional Traits in German Adolescents: Results from Taxometric Analyses.Research on child and adolescent psychopathology · 2022Article
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Authors and funding
6 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although disruptive behavior disorders (DBDs) are used as a distinct categorical diagnosis in clinical practice, they have repeatedly been described as having a dimensional structure in taxometric analyses. In the current study the authors analyzed the latent status of disruptive behaviors (DB) in a large sample (N = 2,808) of German preschool children (2-6 years old, mean age 53.7 months, SD = 13.5, 48.4% girls). The Eyberg Child Behavior Inventory (ECBI) as well as the Strengths and Difficulties Questionnaire (SDQ) were used to compile indicators of the DB core dimensions (Temper Loss, Aggression, Noncompliance, and Low Concern for others). Three widely used taxometric methods (a) MAXEIG, (b) MAMBAC, and (c) L-Mode were applied. Simulation data were created to evaluate the Comparison Curve Fit Index values (CCFIs), which were below 0.45, supporting a dimensional solution. Hence, in the current study the latent structure of DB in preschoolers encompassed differences in degree rather than kind. Researchers and practitioners should be mindful of the dimensional latent status of DB in theory building, assessment, classification, and labeling.
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