327: Employing Innovative Methodologies to Assess the Nature and Impact of Family Informant Discrepancies For Youth Development
- Research
- Education & Enrichment
About the Session
A symposium has presentations and discussion by 3-4 experts on a particular topic. A discussant integrates and summarizes the papers, develops implications for policy and practice from the research, and facilitates audience discussion.
Papers listed below are included in this session.
Discussant: Andres De Los Reyes
Chair: Carlie J. Sloan
Summary
Family informant discrepancies refer to family members' different reports of the same phenomenon, and have been linked to youth maladjustment. However, research on discrepancies is faced with methodological and theoretical challenges that await resolution. The four studies in this symposium seek to advance work around family informant discrepancies by exploring advanced techniques in characterizing discrepancies in families, examining this issue across multiple domains in the family such as youth aggression, parent-child and sibling relationships. Additionally, the presented work demonstrates implications of discrepancies for youth adjustment both concurrently and longitudinally. These studies present an array of diverse samples, and use of innovative study designs and analytic methods, strengthening our confidence in their results. This symposium will highlight the importance of considering discrepancies in family and developmental research across diverse perspectives.
Objectives
- Understand the implications of family informant discrepancies for concurrent and longitudinal youth adjustment
- Demonstrate understanding of unique approaches to studying family informant discrepancies
- Consider how shared and unique family perspectives should influence how clinicians hoping to improve family well-being may intervene
Subject Codes: family relations, risk factors, mental health
Population Codes: adolescence, intergenerational, Hispanic/Latina/o/x
Method and Approach Codes: longitudinal modeling, Family Science, quantitative methodology