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Gepubliceerd in: Research on Child and Adolescent Psychopathology 10/2019

25-04-2019

Network Analysis of ADHD and ODD Symptoms: Novel Insights or Redundant Findings with the Latent Variable Model?

Auteurs: Jonathan Preszler, G. Leonard Burns

Gepubliceerd in: Research on Child and Adolescent Psychopathology | Uitgave 10/2019

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Abstract

A latent variable model (LVM) and network analysis (NA) were applied to mother and father ratings of attention-deficit/hyperactivity disorder (ADHD) and oppositional defiant disorder (ODD) symptoms to determine if NA offers unique insights relative to the LVM. ADHD-inattention (IN), ADHD-hyperactivity/impulsivity (HI), and ODD symptoms along with academic competence behaviors (reading, arithmetic, and writing skills) were rated by mothers and fathers of Brazilian (n = 894), Thai (n = 2075), and United States (n = 817) children (Mage = 9.04, SD = 2.12, 49.5% females). LVM indicated that (1) the ADHD-IN, ADHD-HI, and ODD three-factor model yielded a close global-fit with no localized ill-fit; (2) nearly all loadings were substantial; (3) like-symptom loadings, like-symptom thresholds, and like-factor means showed invariance across mothers and fathers; (4) the three factors showed convergent and discriminant validity across mothers and fathers; and (5) only the ADHD-IN showed a unique negative relationship with academic competence. NA indicated that (1) a walktrap community analysis resulted in ADHD-IN, ADHD-HI, and ODD symptom communities; (2) the three symptom communities were consistent across mothers and fathers; (3) only three ADHD-IN symptoms showed unique relationships with the three academic competence items. NA has proven useful for numerous mental disorders. In the current study, NA results were mostly congruent with the LVM model, with a few notable exceptions. The results are discussed in the context of model assumptions and application considerations in the context of ADHD/ODD symptoms relative to other symptom dimensions.
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Voetnoten
1
The latent variable and network analyses were first performed on each sample separately. The results for each separate sample yielded the same results for the latent variable model. For the networks, each sample yielded identical community structures as well as no significant difference in global strength. The three samples were thus combined into a single sample.
 
2
Burns et al. (2008) used a confirmatory factor analysis to evaluate the ADHD-IN, ADHD-HI, and ODD three-factor model separately in the Brazilian, Thai, and American samples. This earlier study also treated the symptom ratings as continuous indicators and used the maximum likelihood estimator. The current study applied more ideal factor analytic procedures to this data (i.e., symptom ratings as ordered-categories and the robust weighted least squares estimator, cross-loadings not restricted to zero, and a careful inspection of the residual matrix for localized ill-fit). Our purpose was not to re-examine the three-factor model with this data. The purpose was rather to have ideal results from the latent variable model in order to evaluate the unique contributions of the network analysis when applied to the same data.
 
3
A network for each rater and construct (ADHD-IN, ADHD-HI, and ODD), for a total of six networks, were also estimated, and EI values were calculated to examine if any differences arose in the centrality. The EI values correlated between 0.88 (mothers HI) and 0.95 (both raters ODD), depending on the construct and rater.
 
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Metagegevens
Titel
Network Analysis of ADHD and ODD Symptoms: Novel Insights or Redundant Findings with the Latent Variable Model?
Auteurs
Jonathan Preszler
G. Leonard Burns
Publicatiedatum
25-04-2019
Uitgeverij
Springer US
Gepubliceerd in
Research on Child and Adolescent Psychopathology / Uitgave 10/2019
Print ISSN: 2730-7166
Elektronisch ISSN: 2730-7174
DOI
https://doi.org/10.1007/s10802-019-00549-y

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