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The genetic analysis of repeated measures. I. Simplex models

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Abstract

The well-known simplex model is extended to a model that may be used for the genetic and environmental analysis of covariance structures. This “double” simplex structure can be specified as a LISREL model. It is shown that data which give rise to a simplex correlation structure, such as repeated-measures data, do not fit a factor-analysis model. The parameter estimation of the simplex model is illustrated with computer-simulated twin data.

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Authors and Affiliations

  1. Department of Experimental Psychology, Free University, De Boelelaan 1115, 1081 HV, Amsterdam, The Netherlands

    Dorret I. Boomsma

  2. Department of Psychology, University of Amsterdam, Weesperplein 8, 1018 XA, Amsterdam, The Netherlands

    Peter C. M. Molenaar

Authors
  1. Dorret I. Boomsma
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  2. Peter C. M. Molenaar
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Boomsma, D.I., Molenaar, P.C.M. The genetic analysis of repeated measures. I. Simplex models. Behav Genet 17, 111–123 (1987). https://doi.org/10.1007/BF01065991

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  • DOI: https://doi.org/10.1007/BF01065991

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