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Evidence for a Multi-Dimensional Latent Structural Model of Externalizing Disorders

Overview of attention for article published in Research on Child and Adolescent Psychopathology, August 2012
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Mentioned by

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1 X user
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1 peer review site

Citations

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60 Dimensions

Readers on

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149 Mendeley
Title
Evidence for a Multi-Dimensional Latent Structural Model of Externalizing Disorders
Published in
Research on Child and Adolescent Psychopathology, August 2012
DOI 10.1007/s10802-012-9674-z
Pubmed ID
Authors

Katie Witkiewitz, Kevin King, Robert J. McMahon, Johnny Wu, Jeremy Luk, Karen L. Bierman, John D. Coie, Kenneth A. Dodge, Mark T. Greenberg, John E. Lochman, Ellen E. Pinderhughes, the Conduct Problems Prevention Research Group

Abstract

Strong associations between conduct disorder (CD), antisocial personality disorder (ASPD) and substance use disorders (SUD) seem to reflect a general vulnerability to externalizing behaviors. Recent studies have characterized this vulnerability on a continuous scale, rather than as distinct categories, suggesting that the revision of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) take into account the underlying continuum of externalizing behaviors. However, most of this research has not included measures of disorders that appear in childhood [e.g., attention-deficit/hyperactivity disorder (ADHD) or oppositional defiant disorder (ODD)], nor has it considered the full range of possibilities for the latent structure of externalizing behaviors, particularly factor mixture models, which allow for a latent factor to have both continuous and categorical dimensions. Finally, the majority of prior studies have not tested multidimensional models. Using lifetime diagnoses of externalizing disorders from participants in the Fast Track Project (n = 715), we analyzed a series of latent variable models ranging from fully continuous factor models to fully categorical mixture models. Continuous models provided the best fit to the observed data and also suggested that a two-factor model of externalizing behavior, defined as (1) ODD+ADHD+CD and (2) SUD with adult antisocial behavior sharing common variance with both factors, was necessary to explain the covariation in externalizing disorders. The two-factor model of externalizing behavior was then replicated using a nationally representative sample drawn from the National Comorbidity Survey-Replication data (n = 5,692). These results have important implications for the conceptualization of externalizing disorders in DSM-5.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 3 2%
Germany 1 <1%
United States 1 <1%
Unknown 144 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 16%
Student > Master 21 14%
Researcher 18 12%
Student > Doctoral Student 17 11%
Professor > Associate Professor 13 9%
Other 28 19%
Unknown 28 19%
Readers by discipline Count As %
Psychology 79 53%
Medicine and Dentistry 15 10%
Business, Management and Accounting 5 3%
Social Sciences 4 3%
Neuroscience 3 2%
Other 8 5%
Unknown 35 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 August 2016.
All research outputs
#15,169,543
of 25,374,647 outputs
Outputs from Research on Child and Adolescent Psychopathology
#1,190
of 2,047 outputs
Outputs of similar age
#110,492
of 187,866 outputs
Outputs of similar age from Research on Child and Adolescent Psychopathology
#15
of 24 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,047 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 187,866 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.