A Procedure on Parameter Estimation in Latent Class Analysis

The present paper is to give a new procedure of parameter estimation in a latent class model by means of maximum likelihood. Since current methods of parameter estimation have ooccurred frequently improper solutions, the new procedure depends on the result of Gibson\u27s method and, if the solution is not a satisfied, the methods of maximum likelihood estimation are applied. In order to realize such an improved procedure, several functions are newly developed, i.e. contour map of the likelihood function, determination of direction vectors