Egocentric social network instruments typically require independently sampled respondents to identify up to five social network alters. When collecting egocentric data from dyads (e.g., mothers and fathers), shared and unique network alters can be identified. The present manuscript describes a new way of using egocentric data collected from related pairs using Multilevel Modeling (MLM). As a case study, the egocentric social support networks of twenty pairs of parents of children with cancer (N = 40) will be analyzed to illustrate how this technique can be used to model the characteristics of each network alter and to answer research questions regarding sex differences in received social support networks.
The University of Kansas prohibits discrimination on the basis of race, color, ethnicity, religion, sex, national origin, age, ancestry, disability, status as a veteran, sexual orientation, marital status, parental status, gender identity, gender expression and genetic information in the University’s programs and activities. The following person has been designated to handle inquiries regarding the non-discrimination policies: Director of the Office of Institutional Opportunity and Access, IOA@ku.edu, 1246 W. Campus Road, Room 153A, Lawrence, KS, 66045, (785)864-6414, 711 TTY.