Behavior Genetics

, Volume 19, Issue 1, pp 37–49

Fitting genetic models with LISREL: Hypothesis testing

  • M. C. Neale
  • A. C. Heath
  • J. K. Hewitt
  • L. J. Eaves
  • D. W. Fulker
Article

DOI: 10.1007/BF01065882

Cite this article as:
Neale, M.C., Heath, A.C., Hewitt, J.K. et al. Behav Genet (1989) 19: 37. doi:10.1007/BF01065882

Abstract

A brief introduction to the mathematical theory involved in model fitting is provided. The properties of maximum-likelihood estimates are described, and their advantages in fitting structural models are given. Identification of models is considered. Standard errors of parameter estimates are compared with the use of likelihood-ratio (L-R) statistics. For structural modeling, L-R tests are invariant to parameter transformation and give robust tests of significance. Some guidelines for fitting models to data collected from twins are given, with discussion of the relative merits of parsimony and data description.

Key Words

structural modeling LISREL maximum likelihood 

Copyright information

© Plenum Publishing Corporation 1989

Authors and Affiliations

  • M. C. Neale
    • 1
  • A. C. Heath
    • 1
  • J. K. Hewitt
    • 1
  • L. J. Eaves
    • 1
  • D. W. Fulker
    • 2
  1. 1.Department of Human GeneticsMedical College of VirginiaRichmond
  2. 2.Institute for Behavioral GeneticsBoulder

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