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Tosto, Maria G.; Hayiou-Thomas, Marianna E.; Harlaar, Nicole; Prom-Wormley, Elizabeth; Dale, Philip S.; Plomin, Robert – Developmental Psychology, 2017
This study examines the genetic and environmental etiology underlying the development of oral language and reading skills, and the relationship between them, over a long period of developmental time spanning middle childhood and adolescence. It focuses particularly on the differential relationship between language and two different aspects of…
Descriptors: Twins, Genetics, Reading Fluency, Structural Equation Models
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Peugh, James L.; DiLillo, David; Panuzio, Jillian – Structural Equation Modeling: A Multidisciplinary Journal, 2013
Mixed-dyadic data, collected from distinguishable (nonexchangeable) or indistinguishable (exchangeable) dyads, require statistical analysis techniques that model the variation within dyads and between dyads appropriately. The purpose of this article is to provide a tutorial for performing structural equation modeling analyses of cross-sectional…
Descriptors: Structural Equation Models, Data Analysis, Statistical Analysis, Computer Software
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Benner, Aprile D.; Kretsch, Natalie; Harden, K. Paige; Crosnoe, Robert – Developmental Psychology, 2014
Prior research suggests a link between academic performance and alcohol use during adolescence, but the degree to which this association reflects actual protective effects continues to be debated. We investigated the role of genetic factors in the association between academic achievement and adolescent alcohol use and whether achievement might…
Descriptors: Academic Achievement, Adolescents, Drinking, Correlation
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Carlson, Marie D.; Mendle, Jane; Harden, K. Paige – Developmental Psychology, 2014
Youth who experience adverse environments in early life initiate sexual activity at a younger age, on average, than those from more advantaged circumstances. Evolutionary theorists have posited that ecological stress precipitates earlier reproductive and sexual onset, but it is unclear how stressful environments interact with genetic influences on…
Descriptors: Sexuality, Age Differences, Environmental Influences, Twins
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Dale, Philip S.; Harlaar, Nicole; Plomin, Robert – Language Learning, 2012
Variability in achievement across learners is a hallmark of second language (L2) learning, especially in academic-based learning. The Twins Early Development Study (TEDS), based on a large, population-representative sample in the United Kingdom, provides the first opportunity to examine individual differences in second language achievement in a…
Descriptors: National Curriculum, Twins, Structural Equation Models, Second Language Learning
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Hoekstra, Rosa A.; Bartels, Meike; Boomsma, Dorret I. – Learning and Individual Differences, 2007
In a longitudinal genetic study we explored which factors underlie stability in verbal and nonverbal abilities, and the extent to which the association between these abilities becomes stronger as children grow older. Measures of verbal and nonverbal IQ were collected in Dutch twin pairs at age 5, 7, 10, 12 and 18 years. The stability of both…
Descriptors: Twins, Intervals, Structural Equation Models, Intelligence Quotient
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Rice, Frances; Harold, Gordon T.; Shelton, Katherine H.; Thapar, Anita – Journal of the American Academy of Child & Adolescent Psychiatry, 2006
Objective: To test for gene-environment interaction with depressive symptoms and family conflict. Specifically, to first examine whether the influence of family conflict in predicting depressive symptoms is increased in individuals at genetic risk of depression. Second, to test whether the genetic component of variance in depressive symptoms…
Descriptors: Structural Equation Models, Measures (Individuals), Genetics, Interaction
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Tuvblad, Catherine; Grann, Martin; Lichtenstein, Paul – Journal of Child Psychology and Psychiatry, 2006
Background: Socioeconomic status is often assumed to be of importance for the development of antisocial behavior, yet it explains only a fraction of the variance. One explanation for this paradox could be that socioeconomic status moderates the influence of genetic and environmental effects on antisocial behavior. Method: TCHAD is a Swedish…
Descriptors: Twins, Socioeconomic Status, Intervention, Employment Level
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Rietveld, M. J. H.; Hudziak, J. J.; Bartels, M.; Beijsterveldt, C. E. M.; Boomsma, D. I. – Journal of Child Psychology and Psychiatry, 2004
Background: Twin studies of childhood behavior problems support the conclusion that individual differences in impulsivity, hyperactivity, and inattention are largely due to genetic influences. Non-genetic variation is due to environmental influences that are unique to the individual, and possibly to rater contrast effects. In the present…
Descriptors: Check Lists, Twins, Behavior Problems, Structural Equation Models