A general method for analysis of covariance structures

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ID: 297253
1970
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Abstract
It is assumed that observations on a set of variables have a multivariate normal distribution with a general parametric form of the mean vector and the variance-covariance matrix. Any parameter of the model may be fixed, free or constrained to be equal to other parameters. The free and constrained parameters are estimated by maximum likelihood. A wide range of models is obtained from the general model by imposing various specifications on the parametric structure of the general model. Examples are given of areas and problems, especially in the behavioural sciences, where the method may be useful.
Reference Key
openalex_W2022631179 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Karl G. Jöreskog
Journal jurnal biometrika dan kependudukan
Year 1970
DOI
10.1093/biomet/57.2.239
URL
https://doi.org/10.1093/biomet/57.2.239
Keywords Keywords not found

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