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Title: Biometric Nonlinear Growth Curves for Cognitive Development among NLSY Children and Youth
Resulting in 1 citation.
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Bard, David E. Hunter, Michael D. Beasley, William H. Rodgers, Joseph Lee Meredith, Kelly M. |
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Biometric Nonlinear Growth Curves for Cognitive Development among NLSY Children and Youth Presented: Marseille, France, Behavior Genetics Association (BGA) Annual Meeting, June-July 2013 Cohort(s): Children of the NLSY79, NLSY79 Publisher: Behavior Genetics Association Keyword(s): Cognitive Ability; Cognitive Development; Digit Span (also see Memory for Digit Span - WISC); Kinship; Modeling, Growth Curve/Latent Trajectory Analysis; Peabody Individual Achievement Test (PIAT- Math); Peabody Individual Achievement Test (PIAT- Reading); Peabody Picture Vocabulary Test (PPVT); Siblings Permission to reprint the abstract has not been received from the publisher. Recent advances in building and fitting growth curve and multi-level models that are biometrically informed (McArdle, 2006; McArdle & Plassman, 2009; McArdle & Prescott, 2005; McGue & Christensen, 2002; Reynolds, Finkel, Gatz, & Pedersen, 2002) were used to study cognitive development and decline (or slowed growth) in the National Longitudinal Survey of Youth- Child/Young Adult (NLSYC/YA) dataset. Among the highest quality outcome data in the NLSY files are indicators of cognitive ability, collected longitudinally. These data includes PIAT-Math, PIAT-Reading Recognition and PIAT-Reading Comprehension scores in a complete longitudinal stream (up to attrition) from ages 5 to 14, as well as PPVT verbal abilities, Digit Span scores, and cognitive developmental milestone indicators during toddler and preschool years. Building off of longitudinal methodologies outside of behavior genetics (Grimm, Ram, & Hamagami, 2011; McArdle, Ferrer-Caja, Hamagami, & Woodcock, 2002; Pinheiro & Bates, 2000), this empirical application will also contribute to biometric analytic developments utilizing "fully" nonlinear (e.g., exponential; Davidian & Giltinan, 1995) growth models that better capture developmental and aging-related changes in cognition. Multivariate models were also examined to explore cognitive mediational hypotheses of whether early cognitive milestones could predict later developmental trajectories of PIAT, PPVT, and Digit Span growth. These models predicted both variation in level effects (early age ability level) and growth/decline effects over time (developmental changes in cognition). Motivation for these analyses closely coincide with the convergence of evidence surrounding critical periods of development between the ages of 0 and 5 (Shonkoff & Phillips, 2000). Again, interest will move beyond simple associations of early cognition and childhood cognitive development to questions of whether individual differences in genetic or environmental sources of variance best explain these associations via multivariate biometric mediation modeling. |
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Bibliography Citation
Bard, David E., Michael D. Hunter, William H. Beasley, Joseph Lee Rodgers and Kelly M. Meredith. "Biometric Nonlinear Growth Curves for Cognitive Development among NLSY Children and Youth." Presented: Marseille, France, Behavior Genetics Association (BGA) Annual Meeting, June-July 2013. |