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Analysis and Interpretation of Twin Studies Including Measures of the Shared Environment.

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Title: Analysis and Interpretation of Twin Studies Including Measures of the Shared Environment.
Authors: Turkheimer, Eric (AUTHOR), D'Onofrio, Brian M. (AUTHOR), Maes, Hermine H. (AUTHOR), Eaves, Lindon J. (AUTHOR)
Source: Child Development. Nov/Dec2005, Vol. 76 Issue 6, p1217-1233. 17p. 3 Diagrams, 1 Chart.
Subjects: Twins, Behavior genetics, Genetic research, Home environment, Families
Abstract: Recent reports using a classical behavior genetic research design in which twin data are combined with a measured characteristic of their shared family environment have made striking claims about estimating environmental influences on behavior with genetic effects controlled. Such claims are overstated for two related reasons. First, when a variable is measured at the family level in a way that makes it necessarily equivalent for twins reared together, it is not possible to partition it into genetic and environmental components. Second, although structural equation modeling and DeFries–Fulker analysis are sound tools for the analysis of many types of twin data, they do not control for genetic or environmental confounds when estimating the effect of measured family-level variables. [ABSTRACT FROM AUTHOR]
Copyright of Child Development is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Analysis and Interpretation of Twin Studies Including Measures of the Shared Environment.
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  Data: <searchLink fieldCode="AR" term="%22Turkheimer%2C+Eric%22">Turkheimer, Eric</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22D'Onofrio%2C+Brian+M%2E%22">D'Onofrio, Brian M.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Maes%2C+Hermine+H%2E%22">Maes, Hermine H.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Eaves%2C+Lindon+J%2E%22">Eaves, Lindon J.</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Child+Development%22">Child Development</searchLink>. Nov/Dec2005, Vol. 76 Issue 6, p1217-1233. 17p. 3 Diagrams, 1 Chart.
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  Data: <searchLink fieldCode="DE" term="%22Twins%22">Twins</searchLink><br /><searchLink fieldCode="DE" term="%22Behavior+genetics%22">Behavior genetics</searchLink><br /><searchLink fieldCode="DE" term="%22Genetic+research%22">Genetic research</searchLink><br /><searchLink fieldCode="DE" term="%22Home+environment%22">Home environment</searchLink><br /><searchLink fieldCode="DE" term="%22Families%22">Families</searchLink>
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  Label: Abstract
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  Data: Recent reports using a classical behavior genetic research design in which twin data are combined with a measured characteristic of their shared family environment have made striking claims about estimating environmental influences on behavior with genetic effects controlled. Such claims are overstated for two related reasons. First, when a variable is measured at the family level in a way that makes it necessarily equivalent for twins reared together, it is not possible to partition it into genetic and environmental components. Second, although structural equation modeling and DeFries–Fulker analysis are sound tools for the analysis of many types of twin data, they do not control for genetic or environmental confounds when estimating the effect of measured family-level variables. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Child Development is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1111/j.1467-8624.2005.00845.x-i1
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        Text: English
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      – SubjectFull: Genetic research
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      – SubjectFull: Home environment
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              Text: Nov/Dec2005
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