I have worked with public defender offices, civil rights lawyers, non-profit organizations, and governmental entities to generate evidence-based insights regarding crime and justice-related issues. I support clients in designing, collecting, analyzing, and reporting research to help reach their goals regarding civil/criminal litigation, program evaluation/implementation, or policy analysis/design. This involves translating complex statistical analyses into easily digestible information for judges, lawyers, or policymakers in the form of white papers, declarations, or expert testimony, with a specialty in Racial Justice Act (RJA) motions.
Some criminal justice agencies are unaware of the vast data they might already have or publicly available data in their jurisdiction that could be leveraged to generate evidence-based solutions to vexing policy problems. Likewise, some lawyers may not fully appreciate how statistical analyses based on publicly available court data from their jurisdiction can be leveraged to advance their client’s legal claims. Or if data are non-existent, I can work can help clients design and implement rigorous data collection and analysis efforts.
I help clients realize these and other goals by working with them to clean, code, and analyze data relevant to their interests. I work with each client on a case-by-case basis, taking into consideration their timeline, goals, and budget when developing a consultation plan. This approach allows me to provide clients with highly customized services at affordable prices. Given the sensitive nature of criminal justice data, Non-Disclosure Agreements are available to ensure that your work product, your identity, or the identity of your clients will not be shared with third parties.
Statistical and Research Methods Consulting
I offer statistical and research design consultation for a host of topics/issues related to crime and justice, including:
- Death penalty decision-making by prosecutors and juries
- Homicide arrest, investigation, and prosecution patterns
- Recidivism (the likelihood and time of re-arrest, probation violation, etc.)
- Disparities in court outcomes by race, gender, and other demographics
- Court processing efficiency (time from arrest to first appearance, arraignment, disposition and other important court dates)
- Bail and other forms of pretrial release
- Spatial analyses of crime and court outcomes
- Public opinion regarding criminal justice policies and practices
To address these issues, I rely on a range of research methods and statistical techniques, including:
- Survey design and implementation (Qualtrics)
- Non-linear models (probit, logit, mlogit, etc.)
- Count models (Poisson, negative binomial, zero-inflated, etc.)
- Longitudinal regression (fixed-effects, random-effects, two-stage least-squares)
- Multi-level models (random intercepts/random coefficients)
- Survival analysis (parametric and non-parametric)
- Multivariate analysis with multiple outcomes (MANOVA and MANCOVA)
- Structural Equation Modeling (SEM), including Confirmatory and Exploratory Factor Analysis (CFA)
- Spatial analysis (spatial lags and error models)
- Heckman selection models