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Applying Biometric Growth Curve Models to Developmental Synchronies in Cognitive Development: The Louisville Twin
Deborah Finkel1, Deborah Winders Davis2, Eric Turkheimer3
1Department of Psychology, Indiana University Southeast, 4201 Grant Line Road, New Albany, IN, USA. dfinkel@ius.edu.
Genetic influences on cognitive development change throughout childhood, with some abilities showing continuous genetic effects and others demonstrating new genetic influences. Heritability increases in early childhood and plateaus around age 10.
Area of Science:
- Behavioral Genetics
- Developmental Psychology
- Cognitive Science
Background:
- Understanding the genetic underpinnings of cognitive development is crucial for identifying individual differences.
- Previous research suggests heritability of cognitive abilities changes across childhood.
- Replicating and extending prior findings provides a more robust understanding of developmental trajectories.
Purpose of the Study:
- To investigate the genetic and environmental influences on cognitive development from age 4 to 15.
- To examine how heritability of cognitive abilities changes over time.
- To identify specific cognitive domains with continuous or innovative genetic influences.
Main Methods:
- Biometric latent growth curve modeling applied to longitudinal data from 1032 individuals.
- Cognitive assessments administered at 8 time points (ages 4-15).
- Models fit separately for Wechsler Preschool and Primary Scale of Intelligence (WPPSI) and Wechsler Intelligence Scale for Children-Revised (WISC-R).
Main Results:
- Heritability of cognitive abilities increased in early childhood and plateaued around age 10.
- Heritability of change (slope) varied significantly across cognitive domains.
- Independent genetic influences on change were found for information and picture completion subscales.
Conclusions:
- Evidence supports both genetic continuity and innovation in cognitive development.
- Cognitive abilities show dynamic genetic influences throughout childhood.
- Specific cognitive domains exhibit unique developmental genetic patterns.
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