289
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Adult Stepchildren’s Uncertainty Management in Later Life Stepfamilies: Illuminating the Role of Context, Intentionality, Collaboration, and Information Implications

& ORCID Icon
Pages 119-137 | Received 11 Jun 2021, Accepted 03 Feb 2022, Published online: 22 Feb 2022
 

ABSTRACT

Increasing divorce and remarriage rates among middle and older aged adults has resulted in an uptick of later life stepfamilies (LLSF). Despite these growing numbers, research often focuses on stepfamily development in adolescence, leaving lingering questions about how adult stepchildren navigate this transition, including grappling with uncertainties. Guided by uncertainty management theory, we conducted in-depth, semi-structured interviews with 26 adult stepchildren (ASC). Thematic analysis revealed four primary information acquisition strategies: (a) strategic information seeking, (b) strategic information avoiding, (c) incidental information acquisition, and (d) information ambivalence. Further, ASC’s information acquisition tactics are informed by contextual factors germane to LLSFs (e.g., proximity), vary by degree of intentionally, are collaborative in nature, and are connected to relational implications. Together, our findings result in a conceptual model of LLSF uncertainty management that extends understanding of uncertainty management within family systems.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 271.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.