Literature DB >> 26392369

Applying Biometric Growth Curve Models to Developmental Synchronies in Cognitive Development: The Louisville Twin Study.

Deborah Finkel1, Deborah Winders Davis2, Eric Turkheimer3, William T Dickens4.   

Abstract

Biometric latent growth curve models were applied to data from the LTS in order to replicate and extend Wilson's (Child Dev 54:298-316, 1983) findings. Assessments of cognitive development were available from 8 measurement occasions covering the period 4-15 years for 1032 individuals. Latent growth curve models were fit to percent correct for 7 subscales: information, similarities, arithmetic, vocabulary, comprehension, picture completion, and block design. Models were fit separately to WPPSI (ages 4-6 years) and WISC-R (ages 7-15). Results indicated the expected increases in heritability in younger childhood, and plateaus in heritability as children reached age 10 years. Heritability of change, per se (slope estimates), varied dramatically across domains. Significant genetic influences on slope parameters that were independent of initial levels of performance were found for only information and picture completion subscales. Thus evidence for both genetic continuity and genetic innovation in the development of cognitive abilities in childhood were found.

Entities:  

Keywords:  Cognitive development; Genetic continuity; Genetic discontinuity; Latent growth curve; Longitudinal twin design; Louisville Twin Study

Mesh:

Year:  2015        PMID: 26392369      PMCID: PMC4641789          DOI: 10.1007/s10519-015-9747-1

Source DB:  PubMed          Journal:  Behav Genet        ISSN: 0001-8244            Impact factor:   2.805


  21 in total

1.  Structured latent growth curves for twin data.

Authors:  M C Neale; J J McArdle
Journal:  Twin Res       Date:  2000-09

2.  Genetic and environmental influences on the development of intelligence.

Authors:  M Bartels; M J H Rietveld; G C M Van Baal; D I Boomsma
Journal:  Behav Genet       Date:  2002-07       Impact factor: 2.805

3.  Quantitative genetic analysis of latent growth curve models of cognitive abilities in adulthood.

Authors:  Chandra A Reynolds; Deborah Finkel; John J McArdle; Margaret Gatz; Stig Berg; Nancy L Pedersen
Journal:  Dev Psychol       Date:  2005-01

4.  The independent prediction of general intelligence by elementary cognitive tasks: genetic and environmental influences.

Authors:  S A Petrill; D Luo; L A Thompson; D K Detterman
Journal:  Behav Genet       Date:  1996-03       Impact factor: 2.805

5.  Teacher's Corner: Latent Curve Models and Latent Change Score Models Estimated in R.

Authors:  Paolo Ghisletta; John J McArdle
Journal:  Struct Equ Modeling       Date:  2012       Impact factor: 6.125

6.  Predicting long-term growth in students' mathematics achievement: the unique contributions of motivation and cognitive strategies.

Authors:  Kou Murayama; Reinhard Pekrun; Stephanie Lichtenfeld; Rudolf Vom Hofe
Journal:  Child Dev       Date:  2012-12-20

7.  Latent variable growth within behavior genetic models.

Authors:  J J McArdle
Journal:  Behav Genet       Date:  1986-01       Impact factor: 2.805

8.  Genetic and environmental influences on the growth of early reading skills.

Authors:  Stephen A Petrill; Sara A Hart; Nicole Harlaar; Jessica Logan; Laura M Justice; Christopher Schatschneider; Lee Thompson; Laura S Dethorne; Kirby Deater-Deckard; Laurie Cutting
Journal:  J Child Psychol Psychiatry       Date:  2010-01-05       Impact factor: 8.982

9.  Reading trajectories of children with language difficulties from preschool through fifth grade.

Authors:  Lori E Skibbe; Kevin J Grimm; Tina L Stanton-Chapman; Laura M Justice; Khara L Pence; Ryan P Bowles
Journal:  Lang Speech Hear Serv Sch       Date:  2008-10       Impact factor: 2.983

10.  Reading development in young children: genetic and environmental influences.

Authors:  Jessica A R Logan; Sara A Hart; Laurie Cutting; Kirby Deater-Deckard; Chris Schatschneider; Stephen Petrill
Journal:  Child Dev       Date:  2013-04-10
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  2 in total

1.  Sum Scores in Twin Growth Curve Models: Practicality Versus Bias.

Authors:  Justin M Luningham; Daniel B McArtor; Meike Bartels; Dorret I Boomsma; Gitta H Lubke
Journal:  Behav Genet       Date:  2017-08-05       Impact factor: 2.805

2.  Midlife Study of the Louisville Twins: Connecting Cognitive Development to Biological and Cognitive Aging.

Authors:  Christopher R Beam; Eric Turkheimer; Deborah Finkel; Morgan E Levine; Ebrahim Zandi; Thomas M Guterbock; Evan J Giangrande; Lesa Ryan; Natalie Pasquenza; Deborah Winders Davis
Journal:  Behav Genet       Date:  2019-12-09       Impact factor: 2.805

  2 in total

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