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Bigger Families Fare Better: A Novel Method to Estimate Rater Contrast Effects in Parental Ratings on ADHD Symptoms

Overview of attention for article published in Behavior Genetics, September 2012
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Title
Bigger Families Fare Better: A Novel Method to Estimate Rater Contrast Effects in Parental Ratings on ADHD Symptoms
Published in
Behavior Genetics, September 2012
DOI 10.1007/s10519-012-9561-y
Pubmed ID
Authors

R. Pinto, F. Rijsdijk, A. C. Frazier-Wood, P. Asherson, J. Kuntsi

Abstract

Many twin studies on parental ratings of attention deficit hyperactivity disorder (ADHD) symptoms report low or negative DZ correlations. The observed differences in MZ and DZ variances indicate sibling contrast effects, which appear to reflect a bias in parent ratings. Knowledge of the factors that contribute to this rater contrast effect is, however, limited. Using parent-rated ADHD symptoms from the Twins' Early Development Study and a novel application of a twin model, we explored a range of socio-demographic variables (ethnicity, socio-economic status, and family size), as potential contributors to contrast effects and their interactive effect with gender composition of twin pairs. Gender did moderate contrast effects but only in DZ opposite-sex twin pairs. Family size also showed a moderating effect on rater contrast effects, which was further modified by gender. We further observed an effect of rating scale, with the DSM-IV ADHD subscale of the Revised Conners' Parent Rating Scale more resistant to contrast effects than shorter scales of ADHD symptoms. The improved identification of situations where the accuracy of the most common informant of childhood ADHD symptoms-parents-is compromised as a result of rater bias, might have implications for future research on ADHD.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
United States 1 2%
Brazil 1 2%
Unknown 46 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 22%
Student > Ph. D. Student 6 12%
Researcher 4 8%
Student > Bachelor 4 8%
Student > Doctoral Student 3 6%
Other 9 18%
Unknown 12 24%
Readers by discipline Count As %
Psychology 14 29%
Medicine and Dentistry 6 12%
Business, Management and Accounting 4 8%
Agricultural and Biological Sciences 3 6%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 7 14%
Unknown 14 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 22 October 2012.
All research outputs
#18,319,742
of 22,684,168 outputs
Outputs from Behavior Genetics
#725
of 908 outputs
Outputs of similar age
#128,336
of 168,703 outputs
Outputs of similar age from Behavior Genetics
#4
of 5 outputs
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