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Latent Profile Analysis of Observed Parenting Behaviors in a Clinic Sample

Overview of attention for article published in Research on Child and Adolescent Psychopathology, October 2013
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2 X users
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1 peer review site

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27 Dimensions

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110 Mendeley
Title
Latent Profile Analysis of Observed Parenting Behaviors in a Clinic Sample
Published in
Research on Child and Adolescent Psychopathology, October 2013
DOI 10.1007/s10802-013-9815-z
Pubmed ID
Authors

Lindsay A. Borden, Keith C. Herman, Melissa Stormont, Nidhi Goel, Dana Darney, Wendy M. Reinke, Carolyn Webster-Stratton

Abstract

We examined typologies of parenting practices using latent profile analysis (LPA) in a sample of families with young children who had externalizing behavior disorders. We also examined mother and child characteristics associated with class membership using ratings from multiple informants. The sample included pooled data from five parenting treatment outcome research studies on oppositional defiant disorder (ODD) and/or conduct disorder (CD) conducted throughout the past 20 years. These studies included 21 separate cohorts of children resulting in a total of 514 families. All children met diagnostic criteria for ODD or CD and 78 % were male. Parenting practices were observed by independent raters using the Dyadic Parent-child Interactive Coding System-Revised (DPICS-R). Four summary scores (i.e., total critical statements, total commands, total positive, total supportive) from the DPICS-R were used as class indictors in the LPA. Four classes best characterized the parenting practices of this clinic sample, roughly comprising a quarter of the sample each: Positive Only, Negative Only, Positive/Negative, and Neither Positive/Negative. High observed child negative behaviors, low observed child warmth, high socioeconomic status, and low academic performance distinguished the two classes with high negative behaviors (Negative Only, Positive/Negative) from the other classes. These results provide markers of the most common parenting profiles at entry into treatment programs for behavior disorders in young children. Findings have significant implications for the tailoring parenting interventions and supports to specific family needs.

X Demographics

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The data shown below were collected from the profiles of 2 X users 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 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 109 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 15%
Researcher 13 12%
Student > Master 13 12%
Student > Bachelor 11 10%
Student > Doctoral Student 9 8%
Other 19 17%
Unknown 29 26%
Readers by discipline Count As %
Psychology 50 45%
Social Sciences 11 10%
Medicine and Dentistry 5 5%
Agricultural and Biological Sciences 3 3%
Nursing and Health Professions 2 2%
Other 5 5%
Unknown 34 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 24 August 2016.
All research outputs
#15,090,466
of 25,371,288 outputs
Outputs from Research on Child and Adolescent Psychopathology
#1,183
of 2,047 outputs
Outputs of similar age
#121,039
of 224,560 outputs
Outputs of similar age from Research on Child and Adolescent Psychopathology
#19
of 32 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% 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 41st percentile – i.e., 41% 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 224,560 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.