The latent structure of oppositional defiant disorder in children and adults.
- Authors
- Barry, Tammy D; Marcus, David K; Barry, Christopher T; Coccaro, Emil F
- Year
- 2013
- Journal
- Journal of psychiatric research
- PMID
- 24075326
- DOI
- 10.1016/j.jpsychires.2013.08.016
- PMCID
- PMC3825265
An understanding of the latent structure of oppositional defiant disorder (ODD) is essential for better developing causal models, improving diagnostic and assessment procedures, and enhancing treatments for the disorder. Although much research has focused on ODD-including recent studies informing the diagnostic criteria for DSM-5-research examining the latent structure of ODD is sparse, and no known study has specifically undertaken a taxometric analysis to address the issue of whether ODD is a categorical or dimensional construct. To address this gap, the authors conducted two separate studies using a set of taxometric analyses with data from the NICHD Study of Early Child Care and Youth Development (child study; n = 969) and with data from a large mixed sample of adults, which included participants reporting psychiatric difficulties as well as healthy controls (adult study; n = 600). The results of a variety of non-redundant analyses across both studies revealed a dimensional latent structure for ODD symptoms among both children and adults. These findings are consistent with previous studies that have examined latent structure of related constructs (e.g., aggression, antisocial behavior) as well as studies that have examined the dimensional versus categorical structure of ODD using methods other than taxometric analysis.
Average MAMBAC, MAXEIG, and L-Mode curves for the research data along with taxonic and dimensional comparison data for the eight Disruptive Behavior Disorders Questionnaire Oppositional Defiant Disorder items. For MAMBAC, the x-axis represents the cases ordered along the input indicator, and the values along the y-axis are the mean differences on the output indicator between those above the cut and those below the cut on the x-axis. For MAXEIG, the data were ordered along the x-axis by the scores on the input indicator and then grouped into 25 subsamples using overlapping windows (0.90 overlap). The y-axis is the eigenvalue of the first principle component from a principal component analysis of the output variables for each subsample. For L-Mode the x-axis is the scores on the first factor of a factor analysis of the indicator set, and the y-axis is the relative frequency of each score. For all of the graphs, dark lines on the curves represent the actual data, the outer lines show the minimum and maximum values generated by the 100 simulated data sets, with the grey band containing the middle 50% of data points from these simulated data.
Average MAMBAC, MAXEIG, and L-Mode curves for the research data along with taxonic and dimensional comparison data for the eight Self-Report Wender-Reimherr Adult Oppositional Defiant Disorder items. The axes of these graphs are the same as in Figure 1. Dark lines on the curves represent the actual data, the outer lines show the minimum and maximum values generated by the 100 simulated data sets, with the grey band containing the middle 50% of data points from these simulated data.
No entities extracted from this document yet.
No uploaded files.
In this knowledge base
| Title | Year | PMID |
|---|---|---|
| Genetic association study of childhood aggression across raters, instruments, and age. | 2021 | 34330890 |
External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| Low neurocognitive performance and problematic contexts: interaction influences in predicting adolescent externalizing behaviors within a community sample. | Mazurek C et al. | — | 2025 | → |
| Evidence-Based Assessment of <i>DSM</i>-5 Disruptive, Impulse Control, and Conduct Disorders. | Burke JD et al. | — | 2024 | → |
| Incremental Validity of Trait Impulsivity, Dysfunctional Emotional Regulation, and Affect Lability in the Predictions of Attention Deficit Hyperactivity Disorder and Oppositional Defiant Disorder Symptoms in Adults. | Gomez R et al. | — | 2024 | → |
| Deficits in Parent Knowledge of Behavior Management Skills is Strongly Associated with CD Symptoms but Not ODD Symptoms. | Lindhiem O et al. | — | 2023 | → |
| Latent classes of oppositional defiant disorder in adolescence and prediction to later psychopathology. | Racz SJ et al. | — | 2023 | → |
| Assessment of oppositional defiant disorder and oppositional behavior in children and adolescents with Down syndrome. | Fucà E et al. | — | 2022 | → |
| Inter-relationships between ADHD, ODD and impulsivity dimensions in emerging adults revealed by network analysis: extending the 'trait impulsivity hypothesis'. | Gomez R et al. | — | 2022 | → |
| The Impact of Irritability and Callous Unemotional Traits on Reward Positivity in Youth with ADHD and Conduct Problems. | Waxmonsky J et al. | — | 2022 | → |
| Evidence for the taxonic latent structure for DSM-5 intermittent explosive disorder in adults. | Fanning JR et al. | — | 2021 | → |
| Genetic association study of childhood aggression across raters, instruments, and age. | Ip HF et al. | — | 2021 | → |
| The Irritable and Oppositional Dimensions of Oppositional Defiant Disorder: Integral Factors in the Explanation of Affective and Behavioral Psychopathology. | Burke JD et al. | — | 2021 | → |
| A Measure of Emotional Regulation and Irritability in Children and Adolescents: The Clinical Evaluation of Emotional Regulation-9. | Pylypow J et al. | — | 2020 | → |
| Dimensions over categories: a meta-analysis of taxometric research. | Haslam N et al. | — | 2020 | → |
| Oppositional Defiant Disorder Dimensions: Associations with Traits of the Multidimensional Personality Model among Adults. | Gomez R et al. | — | 2019 | → |
| Dimensional Latent Structure of Early Disruptive Behavior Disorders: A Taxometric Analysis in Preschoolers. | Kliem S et al. | — | 2018 | → |
| Maternal ratings of ODD symptoms: Subtypes versus severity in a general community sample of children. | Gomez R et al. | — | 2018 | → |
| The neurobiological basis of human aggression: A review on genetic and epigenetic mechanisms. | Waltes R et al. | — | 2016 | → |