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The critical case file approach

A novel tool for critically analyzing mixed-method data as exemplified in a juvenile legal setting

Bibliographic Data

ID12434790
AuthorsMabel Berezin (0000-0003-2957-8853, New York University, corresponding author), Shabnam Javdani (0000-0003-3949-1970, New York University), Christina Ducat (University of Maryland, College Park), Genevieve Sims (New York University), Erin B Godfrey (0000-0001-8073-6824, New York University), Erin Godfrey
Year2023
Volume30
Issue1
Pages66-79
Publication date2023-12-21
Open AccessYes
TypeARTICLE
VenuePsychology Public Policy and Law (JOURNAL)
Journal identifiersISSN: 1076-8971 • E-ISSN: 1939-1528
PublisherAmerican Psychological Association (PUBLISHER • US)
DOI10.1037/law0000413
PMID39372885
OpenAlexW4390060492
LanguageEN
References cited5

Current criminology and corrections research is limited in its ability to fully conceptualize and analyze inequities in the legal systems' response to young people, particularly those with multiple marginalized identities. This article presents a novel methodological framework-the Critical Case File (CCF) approach-to advance methodological innovations in criminal and juvenile legal system research. Specifically, the CCF approach leverages the rich multisystem information available within case file data and analyzes it through a critical lens to examine (a) the structural factors (e.g., economic and housing precarity) undergirding legal system contact and (b) how the legal system responds to these structural factors to perpetuate the well-documented disparities that exist across the legal continuum. In this article, we present the CCF approach, which systematizes best practices for capturing the breadth of information available within case files. We first propose a six-step methodological process to describe how information from legal system-impacted people's case files can be extracted, analyzed, and disseminated with an equity-oriented lens. We then exemplify how the CCF approach differentiates from other methods typically used in social science and criminology research. Practice and policy implications are presented to demonstrate the ways that the CCF approach can leverage case file data to generate novel, meaningful, and data-driven solutions that illuminate structural factors that may drive and exacerbate legal system contact and delineate the potential of research-practice-policy partnerships to reduce structural disparities

Criminal justice · Criminology · Data science · Engineering ethics · Equity (law · Legal research · Lens (geology · Leverage (statistics · Political science · Precarity · Process (computing · Public relations · Sociology · Through-the-lens metering · Computer Science · Criminal Justice and Corrections Analysis · Engineering · Homelessness and Social Issues · Law · Psychopathy, Forensic Psychiatry, Sexual Offending · Artificial Intelligence

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Highly citedNo

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