A STATISTICAL PROCEDURE FOR THE LATENT PROFILE MODEL
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概要
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A maximum likelihood estimation procedure is presented for the latent profile model when the conditional distributions of manifest variates given specific latent classes are assumed to be normal, together with the associated tests of the goodness of fit. By incorporating means of constraining estimated parameters in various ways, an important class of statistical hypotheses, constant and equality, about the structures of latent classes can be tested. Illustrative examples are included with the results suggesting strongly the usefulness of the current approach.
- 公益社団法人 日本心理学会の論文