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Direct linkHipp, John R.; Bauer, Daniel J. – Psychological Methods, 2006
Finite mixture models are well known to have poorly behaved likelihood functions featuring singularities and multiple optima. Growth mixture models may suffer from fewer of these problems, potentially benefiting from the structure imposed on the estimated class means and covariances by the specified growth model. As demonstrated here, however,…
Descriptors: Monte Carlo Methods, Maximum Likelihood Statistics, Computation, Case Studies
