Fitting genetic models with LISREL: Hypothesis testing
- 1 January 1989
- journal article
- Published by Springer Nature in Behavior Genetics
- Vol. 19 (1) , 37-49
- https://doi.org/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.Keywords
This publication has 16 references indexed in Scilit:
- Resemblances of parents and twins in sports participation and heart rateBehavior Genetics, 1989
- Willignes to drive when drunk and personality: A twin studyBehavior Genetics, 1989
- LISREL analysis of twin data with structured meansBehavior Genetics, 1989
- Testing structural equation models for twin data using LISRELBehavior Genetics, 1989
- Goodness-of-fit indexes in confirmatory factor analysis: The effect of sample size.Psychological Bulletin, 1988
- Factor analysis and AICPsychometrika, 1987
- Asymptotically distribution‐free methods for the analysis of covariance structuresBritish Journal of Mathematical and Statistical Psychology, 1984
- Fitting autoregressive models for predictionAnnals of the Institute of Statistical Mathematics, 1969
- On the mathematical foundations of theoretical statisticsPhilosophical Transactions of the Royal Society A, 1922
- A mathematical Examination of the Methods of determining the Accuracy of Observation by the Mean Error, and by the Mean Square ErrorMonthly Notices of the Royal Astronomical Society, 1920