Hostname: page-component-cd9895bd7-p9bg8 Total loading time: 0 Render date: 2024-12-25T13:58:38.379Z Has data issue: false hasContentIssue false

Comparative Analyses of Twin Data*

Published online by Cambridge University Press:  01 August 2014

D. W. Fulker*
Affiliation:
Dept. of Psychology, University of Birmingham
J. L. Jinks
Affiliation:
Dept. of Psychology, University of Birmingham
*
Dept. of Psychology, The University of Birmingham, P. O. Box 363, Birmingham 15, Great Britain

Extract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

The biometrical genetical method of analysis of continuously varying human traits is described and shown to unify a number of common approaches to the analysis of twin data. The method, which is based on the analysis of variance, goes beyond alternative approaches by providing tests of basic assumptions and by investigating the possibility of assortative mating and dominant gene action.

Twins form an indispensable group for the application of the biometrical genetical method but the value of including other groups, often more easily collected, is demonstrated.

The techniques are illustrated through the reanalysis of data on the behavioural measures, neuroticism and intelligence quotient (I.Q.). For both measures fundamental assumptions are met. The results suggest the absence of dominant gene action for neuroticism, indicating an evolutionary history of stabilising selection, and directional dominance for high I.Q., indicating an evolutionary history of strong directional selection. Both these findings seem reasonable in view of psychological knowledge concerning the two measures.

Type
Session 9 - Methodology of Twin Studies
Copyright
Copyright © The International Society for Twin Studies 1970

Footnotes

*

The full paper has been published in Psychol. Bull., 73: 311-349, 1970.

References

* The full paper has been published in Psychol. Bull., 73: 311-349, 1970.