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Related Experiment Video

Updated: May 11, 2026

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills

Published on: September 17, 2019

Multivariate genetic analysis of learning and early reading development.

Brian Byrne¹, Sally J Wadsworth, Kristi Boehme

¹Discipline of Psychology, School of Behavioural, Cognitive and Social Sciences, University of New England, Department of Behavioral Sciences, Linköping University.

Scientific Studies of Reading : the Official Journal of the Society for the Scientific Study of Reading

|April 30, 2013

Summary

Genetic factors influence learning processes. A study of twins found distinct genetic influences on vocabulary, reading skills, and verbal memory, suggesting independent pathways for spoken language and reading development.

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Last Updated: May 11, 2026

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills

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Published on: September 17, 2019

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Published on: October 11, 2018

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Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

Area of Science:

Behavioral Genetics
Developmental Psychology
Educational Psychology

Background:

Understanding the genetic underpinnings of learning is crucial for addressing reading disabilities.
Twin studies provide a powerful method for disentangling genetic and environmental influences on complex traits.

Purpose of the Study:

To explore the genetic factor structure of various learning measures in a large twin cohort.
To investigate the genetic correlations between early literacy skills, reading abilities, and verbal memory.

Main Methods:

An exploratory factor analysis was conducted on genetic correlations from twin data (N=2084) from preschool to Grade 2.
Learning measures included vocabulary, orthographic learning, word reading, letter knowledge, and verbal short-term memory tests.

Main Results:

A three-factor genetic model emerged: factor 1 (vocabulary), factor 2 (print-related skills like reading and letter knowledge), and factor 3 (verbal short-term memory).
The genetic factors showed correlations, with the print-related factor exhibiting notable specificity.
Preschool letter knowledge was a key predictor for the print-related genetic factor.

Conclusions:

Genetically influenced learning processes for print-speech integration, indicated by early letter knowledge, are partially independent of genetic factors for spoken language.
The study highlights the importance of considering the genetics of associative learning in reading (dis)ability research.
Findings suggest potential links to molecular genetics research on learning.