Structural equation modeling in the genetically informative study of the covariation of intelligence, working memory and planning
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 twi...
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Series: | ITM Web of Conferences |
Online Access: | http://dx.doi.org/10.1051/itmconf/20160602010 |
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doaj-b3be0a10b8c84cca8cc99d713095e2a02021-02-02T05:08:13ZengEDP SciencesITM Web of Conferences2271-20972016-01-0160201010.1051/itmconf/20160602010itmconf_ics2016_02010Structural equation modeling in the genetically informative study of the covariation of intelligence, working memory and planningVoronin I.0Ismatullina V.1Zakharov I.2Vasin G.3Malykh S.4Psychological Institute of Russian Academy of Education, Laboratory of developmental behaviour geneticsPsychological Institute of Russian Academy of Education, Laboratory of developmental behaviour geneticsPsychological Institute of Russian Academy of Education, Laboratory of developmental behaviour geneticsPsychological Institute of Russian Academy of Education, Laboratory of developmental behaviour geneticsPsychological Institute of Russian Academy of Education, Laboratory of developmental behaviour geneticsStructural 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.http://dx.doi.org/10.1051/itmconf/20160602010 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Voronin I. Ismatullina V. Zakharov I. Vasin G. Malykh S. |
spellingShingle |
Voronin I. Ismatullina V. Zakharov I. Vasin G. Malykh S. Structural equation modeling in the genetically informative study of the covariation of intelligence, working memory and planning ITM Web of Conferences |
author_facet |
Voronin I. Ismatullina V. Zakharov I. Vasin G. Malykh S. |
author_sort |
Voronin I. |
title |
Structural equation modeling in the genetically informative study of the covariation of intelligence, working memory and planning |
title_short |
Structural equation modeling in the genetically informative study of the covariation of intelligence, working memory and planning |
title_full |
Structural equation modeling in the genetically informative study of the covariation of intelligence, working memory and planning |
title_fullStr |
Structural equation modeling in the genetically informative study of the covariation of intelligence, working memory and planning |
title_full_unstemmed |
Structural equation modeling in the genetically informative study of the covariation of intelligence, working memory and planning |
title_sort |
structural equation modeling in the genetically informative study of the covariation of intelligence, working memory and planning |
publisher |
EDP Sciences |
series |
ITM Web of Conferences |
issn |
2271-2097 |
publishDate |
2016-01-01 |
description |
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. |
url |
http://dx.doi.org/10.1051/itmconf/20160602010 |
work_keys_str_mv |
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