𝔖 Bobbio Scriptorium
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Fitting genetic models with LISREL: Hypothesis testing

✍ Scribed by M. C. Neale; A. C. Heath; J. K. Hewitt; L. J. Eaves; D. W. Fulker

Publisher
Springer US
Year
1989
Tongue
English
Weight
722 KB
Volume
19
Category
Article
ISSN
0001-8244

No coin nor oath required. For personal study only.

✦ Synopsis

A brief introduction to the mathematical theory involved in modelfining is provided. The properties of maximum-likelihood estimates are described, and their advantages in fining 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.

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