Behavior genetic analysis of longitudinal intelligence test data on twins

Hideki Toyoda; Kentaro Nakamura; Yukimasa Muraishi

doi:10.5926/jjep1953.52.4_392

Behavior genetic analysis of longitudinal intelligence test data on twins

Hideki Toyoda, Kentaro Nakamura, Yukimasa Muraishi

School of Humanities and Social Sciences

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

Participants (115 monozygotic pairs of twins, 32 dizygotic pairs, and 881 non-twin students) took the Tanaka B Intelligence Test (New Edition) when in junior high school and high school. The data were analyzed by a type of structural equation model, a genetic ACE (Additive genetic, Common environment, non-shared Environment) model, combined with a model for analyzing longitudinal data. Intelligence scores (IS) and scores on 7 sub-tests were examined. Non-shared environment accounted for a considerable portion of the variance in each score, at both the junior high and high school levels.

Original language	English
Pages (from-to)	392-401
Number of pages	10
Journal	Japanese Journal of Educational Psychology
Volume	52
Issue number	4
DOIs	https://doi.org/10.5926/jjep1953.52.4_392
Publication status	Published - 2004 Dec

Keywords

Behavior genetic analysis
Comparison of twins and non-twins
Intelligence test
Junior high school and high school students
Structural equation model

ASJC Scopus subject areas

Education
Developmental and Educational Psychology

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10.5926/jjep1953.52.4_392

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abstract = "Participants (115 monozygotic pairs of twins, 32 dizygotic pairs, and 881 non-twin students) took the Tanaka B Intelligence Test (New Edition) when in junior high school and high school. The data were analyzed by a type of structural equation model, a genetic ACE (Additive genetic, Common environment, non-shared Environment) model, combined with a model for analyzing longitudinal data. Intelligence scores (IS) and scores on 7 sub-tests were examined. Non-shared environment accounted for a considerable portion of the variance in each score, at both the junior high and high school levels.",

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Behavior genetic analysis of longitudinal intelligence test data on twins

Abstract

Keywords

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