Deakin University
Browse

Ninety years after Lewin: The role of familism and attachment style in social networks characteristics across 21 nations/areas

Version 3 2025-04-01, 06:06
Version 2 2024-06-03, 03:39
Version 1 2024-04-08, 04:07
journal contribution
posted on 2025-04-01, 06:06 authored by Xian Zhao, Omri Gillath, Itziar Alonso-Arbiol, Amina Abubakar, Byron G Adams, Frederique Autin, Audrey Brassard, Rodrigo J Carcedo, Or Catz, Cecilia Cheng, Tamlin S Conner, Tasuku Igarashi, Konstantinos Kafetsios, Shanmukh Kamble, Gery KarantzasGery Karantzas, Rafael Emilio Mendia-Monterroso, Joao M Moreira, Tobias Nolte, Willibald Ruch, Sandra Sebre, Angela Suryani, Semira Tagliabue, Qi Xu, Fang Zhang
Drawing on the literature on person-culture fit, we investigated how culture (assessed as national-level familism), personality (tapped by attachment styles) and their interactions predicted social network characteristics in 21 nations/areas ( N = 2977). Multilevel mixed modeling showed that familism predicted smaller network size but greater density, tie strength, and multiplexity. Attachment avoidance predicted smaller network size, and lower density, tie strength, and multiplexity. Attachment anxiety was related to lower density and tie strength. Familism enhanced avoidance’s association with network size and reduced its association with density, tie strength, and multiplexity. Familism also enhanced anxiety’s association with network size, tie strength, and multiplexity. These findings contribute to theory building on attachment and culture, highlight the significance of culture by personality interaction for the understanding of social networks, and call attention to the importance of sampling multiple countries.

History

Journal

Journal of Social and Personal Relationships

Volume

41

Pagination

2251-2275

Location

Thousand Oaks, CA.

Open access

  • No

ISSN

0265-4075

eISSN

1460-3608

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Issue

8

Publisher

SAGE Publications