Berezin McKenzie N, Javdani Shabnam, Ducat Christina, Sims Genevieve, Godfrey Erin
Department of Applied Psychology, New York University.
University of Maryland.
Psychol Public Policy Law. 2024 Feb;30(1):66-79. doi: 10.1037/law0000413. Epub 2023 Dec 21.
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.
当前的犯罪学与矫正研究在充分概念化和分析法律系统对年轻人,尤其是那些具有多重边缘化身份的年轻人的反应中的不公平现象方面能力有限。本文提出了一种新颖的方法论框架——关键案例档案(CCF)方法,以推动刑事和少年法律系统研究中的方法论创新。具体而言,CCF方法利用案例档案数据中丰富的多系统信息,并通过批判性视角对其进行分析,以审视:(a)支撑法律系统接触的结构性因素(如经济和住房不稳定);以及(b)法律系统如何应对这些结构性因素,从而使法律连续体中存在的、有充分记录的差异长期存在。在本文中,我们介绍了CCF方法,该方法将获取案例档案中可用信息广度的最佳实践系统化。我们首先提出一个六步方法论流程,以描述如何从受法律系统影响者的案例档案中提取、分析和传播信息,并以公平为导向。然后,我们举例说明CCF方法与社会科学和犯罪学研究中通常使用的其他方法有何不同。我们还阐述了实践和政策意义,以展示CCF方法如何利用案例档案数据来生成新颖、有意义且基于数据的解决方案,这些解决方案能够揭示可能推动和加剧法律系统接触的结构性因素,并描绘研究-实践-政策伙伴关系在减少结构性差异方面的潜力。