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A Latent Class Analysis of Friendship Network Types and Their Predictors in the Second Half of Life

机译:友谊网络类型的潜在阶级分析及其在生命的下半年中的预测因子

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摘要

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.udThe study builds on Matthewss 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 4085 years (N 1,876). Data came from the German Aging Survey (DEAS).udOur analysis revealed 4 distinct friendship network types that were in high congruence with Matthewss 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.udWe 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.
机译:友谊对(成年)成年后的幸福做出独特的贡献。但是,关于友谊的研究常常忽略了友谊模式之间的个体差异。这项研究的目的是基于马修斯的友情风格定性模型。马修斯区分了三种建立友情的方法,根据朋友数量,友情持续时间和情感亲密程度的不同而不同。我们使用潜在类别分析来确定4085岁(中位数1,876)的中老年人的友谊网络类型。数据来自德国老龄化调查(DEAS)。 ud我们的分析揭示了与Matthewss类型学高度一致的4种不同的友谊网络类型。我们将这些识别为一种独具慧眼的风格,侧重于很少的亲密关系;独立的风格则避免了亲密的订婚;还有两种包容性风格,它们在他们的整个人生过程中都结识了新朋友,但在情感上的亲密关系却有所不同。社会经济地位,性别,健康以及网络干扰和网络维持变量预测与网络类型的隶属关系。 ud我们认为,未来的研究应考虑对友谊的整体看法,以便更好地了解友谊与幸福之间的联系。下半生。

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  • 入库时间 2022-08-20 22:25:40

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