Literature DB >> 27859006

Does Reading Cause Later Intelligence? Accounting for Stability in Models of Change.

Drew H Bailey1, Andrew K Littlefield2.   

Abstract

This study reanalyzes data presented by Ritchie, Bates, and Plomin (2015) who used a cross-lagged monozygotic twin differences design to test whether reading ability caused changes in intelligence. The authors used data from a sample of 1,890 monozygotic twin pairs tested on reading ability and intelligence at five occasions between the ages of 7 and 16, regressing twin differences in intelligence on twin differences in prior intelligence and twin differences in prior reading ability. Results from a state-trait model suggest that reported effects of reading ability on later intelligence may be artifacts of previously uncontrolled factors, both environmental in origin and stable during this developmental period, influencing both constructs throughout development. Implications for cognitive developmental theory and methods are discussed.
© 2016 The Authors. Child Development © 2016 Society for Research in Child Development, Inc.

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Mesh:

Year:  2016        PMID: 27859006      PMCID: PMC5422133          DOI: 10.1111/cdev.12669

Source DB:  PubMed          Journal:  Child Dev        ISSN: 0009-3920


  16 in total

1.  Potential problems with "well fitting" models.

Authors:  Andrew J Tomarken; Niels G Waller
Journal:  J Abnorm Psychol       Date:  2003-11

2.  Testing for the Factorial Validity, Replication, and Invariance of a Measuring Instrument: A Paradigmatic Application Based on the Maslach Burnout Inventory.

Authors:  B M Byrne
Journal:  Multivariate Behav Res       Date:  1994-07-01       Impact factor: 5.923

3.  The legacy of early experiences in development: formalizing alternative models of how early experiences are carried forward over time.

Authors:  R Chris Fraley; Glenn I Roisman; John D Haltigan
Journal:  Dev Psychol       Date:  2012-03-26

4.  Replication and robustness in developmental research.

Authors:  Greg J Duncan; Mimi Engel; Amy Claessens; Chantelle J Dowsett
Journal:  Dev Psychol       Date:  2014-09-22

5.  Continuity of genetic and environmental influences on cognition across the life span: a meta-analysis of longitudinal twin and adoption studies.

Authors:  Elliot M Tucker-Drob; Daniel A Briley
Journal:  Psychol Bull       Date:  2014-03-10       Impact factor: 17.737

6.  Prospective analysis of comorbidity: tobacco and alcohol use disorders.

Authors:  K M Jackson; K J Sher; P K Wood
Journal:  J Abnorm Psychol       Date:  2000-11

7.  State and trait effects on individual differences in children's mathematical development.

Authors:  Drew H Bailey; Tyler W Watts; Andrew K Littlefield; David C Geary
Journal:  Psychol Sci       Date:  2014-09-17

Review 8.  Generalist genes and learning disabilities.

Authors:  Robert Plomin; Yulia Kovas
Journal:  Psychol Bull       Date:  2005-07       Impact factor: 17.737

9.  Twins Early Development Study (TEDS): a genetically sensitive investigation of cognitive and behavioral development from childhood to young adulthood.

Authors:  Claire M A Haworth; Oliver S P Davis; Robert Plomin
Journal:  Twin Res Hum Genet       Date:  2012-10-30       Impact factor: 1.587

10.  Does learning to read improve intelligence? A longitudinal multivariate analysis in identical twins from age 7 to 16.

Authors:  Stuart J Ritchie; Timothy C Bates; Robert Plomin
Journal:  Child Dev       Date:  2014-07-24
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  4 in total

1.  Persistence and Fade-Out of Educational-Intervention Effects: Mechanisms and Potential Solutions.

Authors:  Drew H Bailey; Greg J Duncan; Flávio Cunha; Barbara R Foorman; David S Yeager
Journal:  Psychol Sci Public Interest       Date:  2020-10-14

2.  Early Shared Reading, Socioeconomic Status, and Children's Cognitive and School Competencies: Six Years of Longitudinal Evidence.

Authors:  Ameneh Shahaeian; Cen Wang; Elliot Tucker-Drob; Vincent Geiger; Adriana G Bus; Linda J Harrison
Journal:  Sci Stud Read       Date:  2018-06-25

Review 3.  Cognitive ability and education: How behavioural genetic research has advanced our knowledge and understanding of their association.

Authors:  Margherita Malanchini; Kaili Rimfeld; Andrea G Allegrini; Stuart J Ritchie; Robert Plomin
Journal:  Neurosci Biobehav Rev       Date:  2020-01-20       Impact factor: 8.989

4.  Current methods and limitations for longitudinal fMRI analysis across development.

Authors:  Tara Madhyastha; Matthew Peverill; Natalie Koh; Connor McCabe; John Flournoy; Kate Mills; Kevin King; Jennifer Pfeifer; Katie A McLaughlin
Journal:  Dev Cogn Neurosci       Date:  2017-11-22       Impact factor: 6.464

  4 in total

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