The Utility of Genetically Informative Data in the Study of Development
نویسندگان
چکیده
Data collected from groups of relatives, such as monozygotic and dizygotic twin pairs provide an opportunity to test alternative hypotheses about factor structure and the origins of covariation across time. Such data create a need for multiple-group modeling as well as the ability to constrain parameters to be equal between the family members. These constraints in turn provide the opportunity to test various new hypotheses about growth. One set of hypotheses addresses whether or not there is familial resemblance for growth curve components, whether the patterns are consistent with genetic or environmental factors, or both. A second set of hypotheses addresses whether growth is specifically associated with genetic factors, for example, and whether the residual variance in a growth curve model has reliable as well as unreliable components of variance. The general fullinformation maximum likelihood model-fitting framework provided by Mx is described. Its ability to handle the actual ages at measurement of each subject, as opposed to arbitrary grouping of subjects, is particularly useful for modeling development. Genetic modeling of dynamical systems is
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