A multilevel modeling approach to examine incongruent illness appraisals in family care dyads over time

Over the past two decades, there has been movement toward a dyadic perspective of the illness experience. Although multilevel models have led to great insights into how dyads are affected by illness as family units, these models are still underutilized for understanding incongruent illness appraisals. Such incongruent appraisals can have implications for how the dyad collaborates to manage illness, the health of the dyad, and clinical outcomes. The focus of this article is to describe and promote the application of multilevel models to longitudinal dyadic data to understand incongruent illness appraisals over time. In particular, we present a data exemplar so researchers can apply these models to their own data and clinical questions to understand the ways care dyads converge and diverge in their appraisals and determine factors associated with such variability. We comment on the implications and extensions of these models for family nursing research and practice.