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Adversity in Adolescence: Modeling risk for different purposes
J J Cutuli1, Janette E Herbers2, Dan Treglia3
1Nemours Children's Health System.
Different analytical methods yield varied results when studying childhood adversity and wellbeing. Matching study aims to the correct approach is crucial for accurate interpretation and effective policy. This ensures research translates to practice.
Area of Science:
- Child and Adolescent Psychology
- Public Health Research Methods
Background:
- Research on childhood adversity and wellbeing is increasingly used by policymakers.
- Disciplinary variations in conceptualizations and analytical approaches impact findings and their application.
Purpose of the Study:
- To demonstrate the importance of aligning research aims with analytical methods when modeling adversity and negative outcomes.
- To compare variable-centered and person-centered approaches in analyzing adolescent risk behaviors.
Main Methods:
- Utilized three analytical approaches: cumulative risk score, individual main-effects modeling (variable-centered), and latent class analysis (person-centered).
- Modeled data from the Philadelphia 2019 Youth Risk Behavior Survey (N = 1,217) on adolescent adversity, problems, and demographics.
Main Results:
- Findings differed across the three analytical approaches in terms of specificity, causal inference strength, and interpretation.
- Variable-centered approaches provided different insights compared to the person-centered approach.
Conclusions:
- Congruity between analytical approaches, research questions, and study conceptualization is essential.
- Accurate interpretation and translation of empirical findings into policy and practice depend on appropriate methodological choices.
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