JOURNAL ARTICLE

Financial Socialization in Christian Premarital Counseling With Emerging Adults.

  • Published In: Journal of Financial Counseling & Planning, 2025, v. 36, n. 1. P. 111 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Irby, Courtney Ann 3 of 3

Abstract

Research on financial socialization among emerging adults has retrospectively examined what they have learned from their parents growing up. Building on this work, this article explores how these lessons are not static but can become reexamined through interpersonal relationships. It reports on findings from a qualitative study of four Christian premarital programs (two evangelical Protestants and two Catholics) and 70 interviews with participating couples and leaders of these and other programs. By contributing observational data on how the methods of socialization operate, it analyzes both explicit lessons on money and implicit models for how premarital counselors construct normative frameworks on how to interrogate emerging adult's past and plan for their financial future. Specifically, it documents how financial advice was often relegated to supplemental materials due to leaders' lack of confidence on money matters but also how the broader programming provided young couples with opportunities to identify and reflect on their family financial socialization. Implications for professionals interested in improving premarital and financial counseling are discussed. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Financial Counseling & Planning. 2025/01, Vol. 36, Issue 1, p111
  • Document Type:Article
  • Subject Area:Consumer Health
  • Publication Date:2025
  • ISSN:1052-3073
  • DOI:10.1891/JFCP-2023-0107
  • Accession Number:185256077
  • Copyright Statement:Copyright of Journal of Financial Counseling & Planning is the property of Springer Publishing Company, Inc. 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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