Journal
JOURNAL OF FAMILY NURSING
Volume 15, Issue 2, Pages 130-151Publisher
SAGE PUBLICATIONS INC
DOI: 10.1177/1074840709331641
Keywords
childhood chronic conditions; dyadic family data; intrafamilial correlation; linear mixed modeling
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Funding
- National Institutes of Health (NIH) [R01 NR08048]
- Oregon Health & Science University's Oregon Clinical and Translational Research Institute through NIH [UL1 RR024140]
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Outcome measurements from members of the same family are likely correlated. Such intrafamilial correlation (IFC) is an important dimension of the family as a unit but is not always accounted for in analyses of family data. This article demonstrates the use of linear mixed modeling to account for IFC in the important special case of univariate measurements for family dyads collected at a single point in time. Example analyses of data from partnered parents having a child with a chronic condition on their child's adaptation to the condition and on the family's general functioning and management of the condition are provided. Analyses of this kind are reasonably straightforward to generate with popular statistical tools. Thus, it is recommended that IFC be reported as standard practice reflecting the fact that a family dyad is more than just the aggregate of two individuals. Moreover, not accounting for IFC can affect the conclusions.
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