Abstract
A model for longitudinal latent structure analysis is proposed. We assume that test scores for a given mental or attitudinal test are observed for the same individuals at two different points in time. The purpose of the analysis is to fit a model that combines the values of the latent variable at the two time points in a two-dimensional latent density. The correlation coefficient between the two values of the latent variable can then be estimated. The theory and methods are illustrated by a Danish dataset concerning psychic vulnerability.
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Andersen, E.B. Estimating latent correlations between repeated testings. Psychometrika 50, 3–16 (1985). https://doi.org/10.1007/BF02294143
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DOI: https://doi.org/10.1007/BF02294143