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Parameter Estimation for Mover-Stayer Models

Mover-stayer models provide an important tool for analyzing changes in attitudinal and psychological states over time. Two general methods are presented for estimating the parameters of the mover-stayer model that are asymptotically efficient and straightforward to calculate using available computer programs. These methods provide procedures for estimating parameters for various modifications of the first-order mover-stayer model. Data from a study of depression among adults are used to illustrate how methods for estimating parameters of the mover-stayer model under various hypotheses can be employed to test the validity of the assumptions of the mover-stayer model.