Reciprocal Family Engagement Strategies in U.S. Early Childhood Systems: A Qualitative Study.

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Title: Reciprocal Family Engagement Strategies in U.S. Early Childhood Systems: A Qualitative Study.
Authors: Huber, Rebecca1 (AUTHOR) rhuber@nichq.org, Menon, Meera1 (AUTHOR), Klatka, Kirsten1 (AUTHOR), Russell, Rebecca B.1 (AUTHOR), Rouse, Tara Bristol2 (AUTHOR), Berns, Scott D.1,3,4 (AUTHOR)
Source: Early Childhood Education Journal. Oct2025, Vol. 53 Issue 7, p2603-2612. 10p.
Subject Terms: *Family relations, *Qualitative research, *Teaching methods, *Child development, Family values, Scientific method, Thematic analysis, Social cohesion
Geographic Terms: United States
Abstract: The early childhood period has lasting effects on physical and mental health. Most U.S. families rely on daily non-parental care for children under five, highlighting the importance of integrating family preferences with educator practices through reciprocal family engagement (RFE). Systems change initiatives are promising to promote RFE due to the potential to realign early childhood systems (ECS) to meet family preferences and promote positive outcomes. However, there is little research on systems-level RFE strategies. We held two focus groups with eight informants involved in RFE activities in an ECS initiative and asked informants about enablers and barriers to systems building RFE. We performed a thematic analysis using a phenomenological approach, and identified three themes: building team cohesion, capacity building and reach, and resources and capital. Our findings suggest that ECS leaders looking to enhance programmatic RFE strategy could employ relational techniques to affirm flexibility in RFE duties, model open communication, appreciate existing skills, and provide opportunities to expand skills. ECS-building may benefit from an RFE approach but should be met with bureaucratic buy-in for RFE to succeed on a structural level. [ABSTRACT FROM AUTHOR]
Copyright of Early Childhood Education Journal is the property of Springer Nature 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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  Data: The early childhood period has lasting effects on physical and mental health. Most U.S. families rely on daily non-parental care for children under five, highlighting the importance of integrating family preferences with educator practices through reciprocal family engagement (RFE). Systems change initiatives are promising to promote RFE due to the potential to realign early childhood systems (ECS) to meet family preferences and promote positive outcomes. However, there is little research on systems-level RFE strategies. We held two focus groups with eight informants involved in RFE activities in an ECS initiative and asked informants about enablers and barriers to systems building RFE. We performed a thematic analysis using a phenomenological approach, and identified three themes: building team cohesion, capacity building and reach, and resources and capital. Our findings suggest that ECS leaders looking to enhance programmatic RFE strategy could employ relational techniques to affirm flexibility in RFE duties, model open communication, appreciate existing skills, and provide opportunities to expand skills. ECS-building may benefit from an RFE approach but should be met with bureaucratic buy-in for RFE to succeed on a structural level. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Early Childhood Education Journal is the property of Springer Nature 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.</i> (Copyright applies to all Abstracts.)
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              Text: Oct2025
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