Cardon L R, Fulker D W
Department of Mathematics, Stanford University, California 94305.
Behav Genet. 1994 Jan;24(1):1-16. doi: 10.1007/BF01067924.
A hierarchical longitudinal path model is described for analysis of twin and sibling data. The model combines multivariate and longitudinal methodologies for assessment of continuity and change in the relationships among characters over time. Additionally, the model permits assessment of shared and independent etiologies for groups of measures at single and multiple occasions. The procedure is illustrated by application to specific cognitive ability data from 103 adopted and 109 nonadopted sibling pairs at ages 3, 4, 7, and 9 years, and 50 pairs of monozygotic and dizygotic twins at ages 3 and 4 years. The results suggest that much of the observed continuity in general intelligence measures is attributable to genetic influences common to specific abilities and indicate differential etiologies for specific abilities at different occasions in childhood.
描述了一种用于分析双胞胎和兄弟姐妹数据的分层纵向路径模型。该模型结合了多变量和纵向方法,用于评估性状之间关系随时间的连续性和变化。此外,该模型允许评估在单次和多次测量时一组测量指标的共同和独立病因。通过应用于来自103对领养和109对非领养兄弟姐妹对在3岁、4岁、7岁和9岁时的特定认知能力数据,以及50对同卵和异卵双胞胎在3岁和4岁时的数据,来说明该过程。结果表明,一般智力测量中观察到的大部分连续性可归因于特定能力共有的遗传影响,并表明儿童期不同时间特定能力的病因不同。