Abstract
A computer program for solving latent profile analysis (Gibson, 1959) is presented. Green's (1951) solution for latent class analysis was used. N observations on p variables constitute the data matrix. The program estimates latent mean vectors and classifies the observation vectors to them. The result is a number of clusters of the observation vectors. A χ2-test of local independence is defined. Latent and observed discriminabilities are defined as the proportion of a variable's variance which is explained by between-variance. Discriminability constitutes the lower bound for estimated variable reliability. The program performs the analysis for a specified series of numbers of latent profiles and specified values on the diagonal of the product moment correlation matrix.
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