Abstract
The study of psychological development has recently benefited from innovative analytic methods for estimating and examining the correlates of individual growth curves. These methods are more consistent with a conceptualization of development as an ongoing, continuous process, rather than as increases or decreases in a trait between two discrete time points. Recent developmental behavior genetic models have focused on continuity and change in the genetic and environmental influences underlying phenotypes. In contrast, we present a model for genetic and environmental influences on phenotypic development per se. In this model, we adapted multiple regression methods developed for twin designs (DeFries and Fulker, 1985) to a parent-offspring adoption design and to a multivariate framework in which repeated measurements are decomposed into orthogonal polynomial trends. We applied these analyses to the development of IQ during infancy and early childhood using parent-offspring data from adoptive and nonadoptive families in the Colorado Adoption Project. The results suggested familial environmental influences on children's mean IQ for ages 1–4 but environmental influences specific to fathers' cognitive ability on children's IQ development. We also discuss advantages and disadvantages of the multivariate multiple regression method for studying genetic and environmental influences on development.
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References
Baker, L., Reynolds, C., and Ho, H.-Z. (1991). Biometrical analyses of individual growth curves. Paper presented at a Developmental Behavior Genetics Workshop at the annual meeting of the Behavioral Genetics Association, St. Louis, MO, June.
Bayley, N. (1969).Manual for the Bayley Scales of Infant Development; Psychological Corp., New York.
Boomsma, D. I. and Molenaar, P. C. M. (1987). The genetic analysis of repeated measures. I. Simplex models.Behav. Genet. 17:111–123.
Bryk, A. S. and Raudenbush, S. W. (1987). Application of hierarchical linear models to assessing change.Psychol. Bull. 101:147–158.
Burchinal, M. and Appelbaum, M. I. (1991). Estimating individual developmental functions: Methods and their assumptions.Child Dev. 62:23–43.
DeFries, J. C. and Fulker, D. W. (1985). Multiple regression analysis of twin data.Behav. Genet. 15:467–473.
DeFries, J. C. and Fulker, D. W. (1986). Multivariate behavioral genetics and development.Behav. Genet. 16:1–10.
DeFries, J. C., Plomin, R., Vandenberg, S. G., and Kuse, A. R. (1981). Parent-offspring resemblance for cognitive abilities in the Colorado Adoption Project: Biological, adoptive, and control parents and one-year-old children.Intelligence 5:245–277.
Eaves, L. J., Long, J., and Heath, A. C. (1986). A theory of developmental change in quantitative phenotypes applied to cognitive development.Behav. Genet. 16:143–162.
Fulker, D. W., DeFries, J. C., and Plomin, R. (1988). Genetic influence on general mental ability increases between infancy and middle childhood.Nature 336:767–769.
Lochlin, J. C. (1991). Using EQS for a simple analysis of the Colorado height and IQ data. Paper presented at a Developmental Behavior Genetics Workshop at the annual meeting of the Behavioral Genetics Association, St. Louis, MO., June.
McArdle, J. J. (1986). Latent variable growth within behavior genetic models.Behav. Genet. 16:163–200.
Phillips, K. and Fulker, D. W. (1989). Quantitative genetic analyses of longitudinal trends in adoption designs with application to IQ in the Colorado Adoption Project.Behav. Genet. 19:621–659.
Plomin, R., DeFries, J. C., and Fulker, D. W. (1988).Nature and Nurture During Infancy and Early Childhood; Cambridge, New York.
Rogosa, D. R. (1988). Myths about longitudinal research. In Schaie, K. W., Campbell, R. T., Meredith, W., and Rawlings, S. C. (eds.),Methodological Issues in Aging Research, Springer, New York, pp. 171–210.
Schluchter, M. D. (1988). BMDP5V: Unbalanced repeated measures models with structured covariance matrices, Technical Report No. 86, BMDP Statistical Software, Los Angeles.
Terman, L. M., and Merrill, M. A. (1973).Stanford-Binet Intelligence Scale: 1972 Norms Edition, Houghton-Mifflin, Boston, MA.
Willett, J. B. (1988). Questions and answers in the measurement of change.Rev. Res. Educ. 15:345–422.
Wohlwill, J. F. (1973).The Study of Behavioral Development, Academic Press, New York.
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Waldman, I.D., DeFries, J.C. & Fulker, D.W. Quantitative genetic analysis of IQ development in young children: Multivariate multiple regression with orthogonal polynomials. Behav Genet 22, 229–238 (1992). https://doi.org/10.1007/BF01067002
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DOI: https://doi.org/10.1007/BF01067002