| Issue |
ITM Web of Conferences
Volume 6, 2016
6th Seminar on Industrial Control Systems: Analysis, Modeling and Computation
|
|
|---|---|---|
| Article Number | 02010 | |
| Number of page(s) | 5 | |
| Section | Artificial Intelligence | |
| DOI | https://doi.org/10.1051/itmconf/20160602010 | |
| Published online | 25 March 2016 | |
Structural equation modeling in the genetically informative study of the covariation of intelligence, working memory and planning
Psychological Institute of Russian Academy of Education, Laboratory of developmental behaviour genetics, 125009 Moscow, Russia
a Corresponding author: ivan.voronin@pirao.ru
Structural equation modelling (SEM) has become an important tool in behaviour genetic research. The application of SEM for multivariate twin analysis allows revealing the structure of genetic and environmental factors underlying individual differences in human traits. We outline the framework of twin method and SEM, describe SEM implementation of a multivariate twin model and provide an example of a multivariate twin study. The study included 901 adolescent twin pairs from Russia. We measured general cognitive ability and characteristics of working memory and planning. The individual differences in working memory and planning were explained mostly by person-specific environment. The variability of intelligence is related to genes, family environment, and person specific environment. Moderate and weak associations between intelligence, working memory, and planning were entirely explained by shared environmental effects.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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