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A latent class analysis of friendship network types and their predictors in the second half of life
Martina Miche1, Oliver Huxhold, Nan L Stevens
1Department of Psychological Aging Research, Heidelberg University, Heidelberg, Germany. martina.miche@psychologie.uni-heidelberg.de
Objectives:
Friendships contribute uniquely to well-being in (late) adulthood. However, studies on friendship often ignore interindividual differences in friendship patterns. The aim of this study was to investigate such differences including their predictors.
Method:
The study builds on Matthews's qualitative model of friendship styles. Matthews distinguished 3 approaches to friendship differing by number of friends, duration of friendships, and emotional closeness. We used latent class analysis to identify friendship network types in a sample of middle-aged and older adults aged 40-85 years (N = 1,876). Data came from the German Aging Survey (DEAS).
Results:
Our analysis revealed 4 distinct friendship network types that were in high congruence with Matthews's typology. We identified these as a discerning style, which focuses on few close relationships, an independent style, which refrains from close engagements, and 2 acquisitive styles that both acquire new friends across their whole life course but differ regarding the emotional closeness of their friendships. Socioeconomic status, gender, health, and network-disturbing and network-sustaining variables predicted affiliations with network types.
Discussion:
We argue that future studies should consider a holistic view of friendships in order to better understand the association between friendships and well-being in the second half of life.
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