Genetic factor analysis for twins and non-twins: An application to Yatabe-Guilford personality inventory data

Hideki Toyoda, Yukimasa Muraishi

Research output: Contribution to journalArticle

1 Citation (Scopus)


A genetic factor model for analyzing twin and non-twin data simultaneously, which is one of the structural equation model, is examined in a study of Yatabe-Guilford (Y-G) personality inventory. The sample analyzed by this method includes 187 monozygotic (MZ) twin pairs, 43 dizygotic (DZ) twin pairs and 1309 non-twins. Non-twin data can be used for stabilizing factor covariance structure. Genetic influences, common environment, and non-shared environment account for 2.5%, 32.5%, and 65.0% of the variance in the factor of adaptability, respectively. They account for 49.8%, 10.3% ,and 39.9% of the variance in the factor of extroversion, respectively. The genetic factor analysis finds evidence of a greater environmental contribution to variance in adaptability than in extroversion.

Original languageEnglish
Pages (from-to)260-261
Number of pages2
JournalJapanese Journal of Educational Psychology
Issue number3
Publication statusPublished - 1998 Dec 1



  • Covariance structure
  • Genetic factor model
  • Structural equation model
  • Twin and non-twin data
  • Yatabe-Guilford (Y-G) personality inventory

ASJC Scopus subject areas

  • Education
  • Developmental and Educational Psychology

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