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Formulation of dynamic theories and process hypotheses is a crucial component in longitudinal research. This paper describes a framework for developing dynamic theory and hypotheses. The procedure require the theorist to address six dimensions of process in each variable: continuity, magnitude of change, rate of change, trend, periodicity and duration. Further, theorists are encouraged to explore the dynamic relations between sets of variables, including rate of change, magnitude of change, lag, and permanence. Consideration is given to the problem of feedback loops. A typology of analytical alternatives for studying dynamic processes and longitudinal research data is provided.
Peter R. Monge (Thu,) studied this question.