Xian Zhao, Omri Gillath, I. Alonso‐Arbiol, Amina Abubakar, Byron G. Adams, Frédérique Autin, A. Brassard, Rodrigo J. Carcedo, Or Catz, Cecilia Cheng, Tamlin S. Conner, Tasuku Igarashi, Konstantinos Kafetsios, Shanmukh Kamble, G. Karantzas, Rafael Emilio Mendía-Monterroso, João M. Moreira, Tobias Nolte, W. Ruch, Sandra Sebre, Angela Suryani, S. Tagliabue, Qi Xu, Fang Zhang
{"title":"卢因九十年后:家庭主义和依恋风格在 21 个国家/地区的社会网络特征中的作用","authors":"Xian Zhao, Omri Gillath, I. Alonso‐Arbiol, Amina Abubakar, Byron G. Adams, Frédérique Autin, A. Brassard, Rodrigo J. Carcedo, Or Catz, Cecilia Cheng, Tamlin S. Conner, Tasuku Igarashi, Konstantinos Kafetsios, Shanmukh Kamble, G. Karantzas, Rafael Emilio Mendía-Monterroso, João M. Moreira, Tobias Nolte, W. Ruch, Sandra Sebre, Angela Suryani, S. Tagliabue, Qi Xu, Fang Zhang","doi":"10.1177/02654075241237939","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":508458,"journal":{"name":"Journal of Social and Personal Relationships","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Ninety years after Lewin: The role of familism and attachment style in social networks characteristics across 21 nations/areas\",\"authors\":\"Xian Zhao, Omri Gillath, I. Alonso‐Arbiol, Amina Abubakar, Byron G. Adams, Frédérique Autin, A. Brassard, Rodrigo J. Carcedo, Or Catz, Cecilia Cheng, Tamlin S. Conner, Tasuku Igarashi, Konstantinos Kafetsios, Shanmukh Kamble, G. Karantzas, Rafael Emilio Mendía-Monterroso, João M. Moreira, Tobias Nolte, W. Ruch, Sandra Sebre, Angela Suryani, S. Tagliabue, Qi Xu, Fang Zhang\",\"doi\":\"10.1177/02654075241237939\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":508458,\"journal\":{\"name\":\"Journal of Social and Personal Relationships\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Social and Personal Relationships\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/02654075241237939\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Social and Personal Relationships","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/02654075241237939","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Ninety years after Lewin: The role of familism and attachment style in social networks characteristics across 21 nations/areas
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.