Analysis of cross-sectional univariate measurements for family dyads using linear mixed modeling.
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.
Knafl
George J
GJ
School of Nursing, University of North Carolina at Chapel Hill 27599-7460, USA. gknafl@email.unc.edu
Dixon
Jane K
JK
O'Malley
Jean P
JP
Grey
Margaret
M
Deatrick
Janet A
JA
Gallo
Agatha M
AM
Knafl
Kathleen A
KA
D000223:Adaptation, Psychological; D000293:Adolescent; D002648:Child; D002675:Child, Preschool; D002908:Chronic Disease / Q000523:psychology*; D015400:Clinical Nursing Research; D003430:Cross-Sectional Studies; D005190:Family; D005195:Family Relations; D005260:Female; D006801:Humans; D007223:Infant; D016014:Linear Models; D008297:Male; D010287:Parent-Child Relations; D012044:Regression Analysis