Title |
Genetic and Environmental Influences on Self-Control: Assessing Self-Control with the ASEBA Self-Control Scale
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Published in |
Behavior Genetics, February 2018
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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
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 9 | 12% |
Netherlands | 7 | 9% |
United Kingdom | 6 | 8% |
Spain | 3 | 4% |
Russia | 1 | 1% |
Finland | 1 | 1% |
Australia | 1 | 1% |
Mexico | 1 | 1% |
India | 1 | 1% |
Other | 6 | 8% |
Unknown | 38 | 51% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 58 | 78% |
Scientists | 10 | 14% |
Science communicators (journalists, bloggers, editors) | 3 | 4% |
Practitioners (doctors, other healthcare professionals) | 3 | 4% |
Mendeley readers
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% |