Introducing the Multilevel Model for Change
This chapter introduces the multilevel model for change, demonstrating how it allows researchers to address within-person and between-person questions about change simultaneously. Although there are several ways of writing the statistical model, a simple and common approach is adopted that has much substantive appeal. It specifies the multilevel model for change by simultaneously postulating a pair of subsidiary models—a level-1 submodel that describes how each person changes over time, and a level-2 model that describes how these changes differ across people.
Keywords: change, multilevel model, individual change, data change, fixed effects, estimated variance
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