心理学
心理信息
背景(考古学)
发展心理学
压力源
苦恼
社会环境
临床心理学
梅德林
政治学
生物
古生物学
法学
作者
Christina M. Hogan,Harold D. Grotevant,Dongwei Wang
摘要
Research has identified family dynamics within adoptive families as essential to understanding adopted individuals' adjustment. However, there has been a lack of attention to the intricacies of adoptive family context, especially dyadically and as a group. This study examines data from 177 adoptive families from the Minnesota/Texas Adoption Research Project, a longitudinal study of families who participated in domestic U.S. infant adoptions. Study participants are from the second and third collection waves, during adolescence and emerging adulthood. Participants completed interviews and questionnaires at home (Wave 2) or online (Wave 3). The present study examines family context in relation to parent-child incompatibility (match between parent expectations and child's behavior from the Parenting Stress Inventory) and how family context during adolescence (Family Assessment Device, Family Inventory of Life Events, Brief Symptom Inventory) is associated with concurrent and later adjustment (Youth and Adult Self Reports). Family context variables were hypothesized to predict parents' and their spouses' ratings of incompatibility using actor-partner interdependence models. Varied actor and partner effects of family dysfunction, parent distress, and family stressors on ratings of parent-child incompatibility were found. Using regressions, family context variables were hypothesized to have positive associations with adolescent and adult adjustment. Variables accounted for significant variance in adopted individuals' outcomes when considering symptom type (internalizing, externalizing) and age (adolescence, emerging adulthood), though many variables did not have a significant main effect. Results allow for better understanding of differential associations of family context with adjustment for adopted individuals and families. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
科研通智能强力驱动
Strongly Powered by AbleSci AI