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Modeling Caregiver-Child Emotion Regulation and Socialization Profiles in Daily Life : = A Latent Class Analysis Exploring Associations With Regulation Success and Emotional Lability in Preschool.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Modeling Caregiver-Child Emotion Regulation and Socialization Profiles in Daily Life :/
其他題名:	A Latent Class Analysis Exploring Associations With Regulation Success and Emotional Lability in Preschool.
作者:	Cox, Maggie N.
面頁冊數:	1 online resource (160 pages)
附註:	Source: Dissertations Abstracts International, Volume: 86-01, Section: B.
Contained By:	Dissertations Abstracts International86-01B.
標題:	Developmental psychology. -
電子資源:	click for full text (PQDT)
ISBN:	9798383563359

Modeling Caregiver-Child Emotion Regulation and Socialization Profiles in Daily Life : = A Latent Class Analysis Exploring Associations With Regulation Success and Emotional Lability in Preschool.
Cox, Maggie N.

Modeling Caregiver-Child Emotion Regulation and Socialization Profiles in Daily Life :A Latent Class Analysis Exploring Associations With Regulation Success and Emotional Lability in Preschool. - 1 online resource (160 pages)

Source: Dissertations Abstracts International, Volume: 86-01, Section: B.

Thesis (Ph.D.)--University of Oregon, 2024.

Includes bibliographical references

The influence of caregiver responses to child emotions (ERSBs) on child emotion regulation development in preschool is well established. However, less is known about how caregivers regulate their own emotions (emotion regulation; ER) during daily parent-child interactions, or the relationship between caregiver ER and ERSB patterns. There is also a need to identify contextual and environmental variables which moderate the association between daily ER and ERSBs on regulation success, to inform targeted interventions which are responsive to differences in the presentations and needs of caregiver-child dyads. This dissertation used Ecological Momentary Assessment methods (N = 197, 3 surveys per day over 7 days) and Latent Class Analysis (LCA) to model daily ER and ERSB strategy profiles that the caregivers of preschool children use in daily life. Logistic regressions were run at the caregiver level to determine how caregiver ER is associated with caregiver responses to child emotions (ERSBs; also referred to as emotion socialization). Linear regressions modelled the relationships between caregiver ER and ERSB profiles and perceived success of regulating their own and their child's emotions. Across all measurement occasions, results indicated regulation success was highest for caregivers in ER and ERSB profiles characterized by frequent endorsement of "no regulation." However, ERSB and ER profiles characterized by high diversity (e.g., flexibility) in strategy were most successful for regulating the emotions of children with high emotional lability, and for regulating caregiver emotions at timepoints when caregivers endorsed experiencing a negative emotion, respectively. Thus, results of this study suggest that competence with diverse ER and ERSB strategies, and flexible application of strategies across situations, may be particularly beneficial for caregivers managing difficult or variable emotions in themselves and their child.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798383563359Subjects--Topical Terms:

557458
Developmental psychology.
Subjects--Index Terms:

Emotion regulationIndex Terms--Genre/Form:

554714
Electronic books.

Modeling Caregiver-Child Emotion Regulation and Socialization Profiles in Daily Life : = A Latent Class Analysis Exploring Associations With Regulation Success and Emotional Lability in Preschool.
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