↓ Skip to main content

Genetic and Environmental Influences on Self-Control: Assessing Self-Control with the ASEBA Self-Control Scale

Overview of attention for article published in Behavior Genetics, February 2018
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#26 of 975)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

news
1 news outlet
twitter
74 X users
wikipedia
3 Wikipedia pages
googleplus
1 Google+ user

Citations

dimensions_citation
40 Dimensions

Readers on

mendeley
153 Mendeley
Title
Genetic and Environmental Influences on Self-Control: Assessing Self-Control with the ASEBA Self-Control Scale
Published in
Behavior Genetics, February 2018
DOI 10.1007/s10519-018-9887-1
Pubmed ID
Authors

Yayouk E. Willems, Conor V. Dolan, Catharina E. M. van Beijsterveldt, Eveline L. de Zeeuw, Dorret I. Boomsma, Meike Bartels, Catrin Finkenauer

Abstract

This study used a theoretically-derived set of items of the Achenbach System of Empirically Based Assessment to develop the Achenbach Self-Control Scale (ASCS) for 7-16 year olds. Using a large dataset of over 20,000 children, who are enrolled in the Netherlands Twin Register, we demonstrated the psychometric properties of the ASCS for parent-, self- and teacher-report by examining internal and criterion validity, and inter-rater and test-retest reliability. We found associations between the ASCS and measures of well-being, educational achievement, and substance use. Next, we applied the classical twin design to estimate the genetic and environmental contributions to self-control. Genetic influences accounted for 64-75% of the variance in self-control based on parent- and teacher-report (age 7-12), and for 47-49% of the variance in self-control based on self-report (age 12-16), with the remaining variance accounted by non-shared environmental influences. In conclusion, we developed a validated and accessible self-control scale, and show that genetic influences explain a majority of the individual differences in self-control across youth aged 7-16 years.

X Demographics

X Demographics

The data shown below were collected from the profiles of 74 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 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 153 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 14%
Student > Master 18 12%
Student > Bachelor 18 12%
Student > Doctoral Student 7 5%
Researcher 6 4%
Other 22 14%
Unknown 60 39%
Readers by discipline Count As %
Psychology 41 27%
Social Sciences 12 8%
Medicine and Dentistry 6 4%
Nursing and Health Professions 4 3%
Economics, Econometrics and Finance 3 2%
Other 16 10%
Unknown 71 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 63. 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 12 March 2024.
All research outputs
#695,644
of 25,852,155 outputs
Outputs from Behavior Genetics
#26
of 975 outputs
Outputs of similar age
#16,259
of 449,132 outputs
Outputs of similar age from Behavior Genetics
#2
of 7 outputs
Altmetric has tracked 25,852,155 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 975 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has done particularly well, scoring higher than 97% of its peers.
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 449,132 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.