A contemporary method for developmental-genetic analyses of age changes in intellectual abilities

The purpose of this article is to describe a methodology for the evaluation of biometric genetic hypotheses in the context of a developmental model of growth and change. Linear structural equation models are described for longitudinal and twin data, including aspects of subject attrition and practic...

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Published inDevelopmental neuropsychology Vol. 14; no. 1; pp. 69 - 114
Main Authors McArdle, John J., Prescott, Carol A., Hamagami, Fumiaki, Horn, John L.
Format Journal Article
LanguageEnglish
Published Taylor & Francis Group 01.01.1998
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ISSN8756-5641
1532-6942
DOI10.1080/87565649809540701

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Summary:The purpose of this article is to describe a methodology for the evaluation of biometric genetic hypotheses in the context of a developmental model of growth and change. Linear structural equation models are described for longitudinal and twin data, including aspects of subject attrition and practice effects. These models are applied to 2 variables measured at several points in time in the New York Twin Study (Jarvik, Kallman, & Falek, 1962; Kallman, Feingold, & Bondy, 1951). The patterns of psychometric and biometric changes are different for the 2 intellectual variables. Substantive results are discussed in relation to g f /g c theory (Cattell, 1971; Horn, 1988), and some methodological limitations are emphasized.
ISSN:8756-5641
1532-6942
DOI:10.1080/87565649809540701