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)

Abstract

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
Volume46
Issue number3
Publication statusPublished - 1998
Externally publishedYes

Fingerprint

extroversion
Personality Inventory
heredity
Statistical Factor Analysis
factor analysis
personality
Dizygotic Twins
Monozygotic Twins
Structural Models
Genetic Models
structural model
evidence
Extraversion (Psychology)

Keywords

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

ASJC Scopus subject areas

  • Psychology(all)
  • Developmental and Educational Psychology

Cite this

Genetic factor analysis for twins and non-twins : An application to Yatabe-Guilford personality inventory data. / Toyoda, Hideki; Muraishi, Yukimasa.

In: Japanese Journal of Educational Psychology, Vol. 46, No. 3, 1998, p. 260-261.

Research output: Contribution to journalArticle

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