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 language | English |
|---|---|
| Pages (from-to) | 260-261 |
| Number of pages | 2 |
| Journal | Japanese Journal of Educational Psychology |
| Volume | 46 |
| Issue number | 3 |
| Publication status | Published - 1998 Dec 1 |
| Externally published | Yes |
Keywords
- 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