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Relational maintenance among separated Latina/o/x/e immigrant families: exploring the lived experiences of parents and children.

  • Published In: Human Communication Research, 2024, v. 50, n. 3. P. 309 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Murillo, Roselia Mendez; Kam, Jennifer A; Merolla, Andy J 3 of 3

Abstract

Prior relational maintenance research primarily (a) considers only one family member's perspective, (b) explores introspective communication, and (c) examines romantic relationships among highly resourced white samples in the United States. This study considered low-income, Latina/o/x/e immigrant families' maintenance before, during, and after migration-related separation, using standpoint theory, social communication theory, and the long-distance relational maintenance model. We conducted semi-structured interviews with Latina/o/x/e parents and children who lived in separate countries (N  =   20 dyads). Findings cast light on temporal (e.g. fathers often provided little to no notice to children of the upcoming separation, complicating the families' ability to prospectively co-construct relational continuity) and cultural factors (e.g. endorsing traditional gender norms, relying on mothers to explain the separation to children after it had begun) in families' maintenance processes. This study offers new insight into how families communicatively construct "ongoingness" in their bonds despite emotional, technological, and legal challenges posed by migration-related separation. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Human Communication Research. 2024/07, Vol. 50, Issue 3, p309
  • Document Type:Article
  • Subject Area:Social Sciences and Humanities
  • Publication Date:2024
  • ISSN:0360-3989
  • DOI:10.1093/hcr/hqad052
  • Accession Number:178320706
  • Copyright Statement:Copyright of Human Communication Research is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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