A Quantitative Analysis of Oklahoma Commutations Prior to Mcgirt v. Oklahoma

24 Pages Posted: 10 Aug 2021

Date Written: July 11, 2021

Abstract

In Oklahoma, incarceration rates represent near highest rates nationally. Which influences drive this statistic? Solely criminality? Perhaps political stonewalling? Commutation is a small, powerful procedural variable in criminal justice. In attempting to understand the flow of the commutation process, applicant demographics were analyzed using statistical techniques. The results bear out a strong correlation between recidivism and referral of recommendations for commutation to the governor. Parole board behaviors may underscore larger penological or criminological problems. Perhaps, through further studies such as this, there can begin alleviation of current and future problems in correctional and public policy, particularly as relates to adopting evidence-based approaches in commutation considerations in the post-McGirt era.

Keywords: commutation, recidivism, correlation, first-time offense, rehabilitation, Pearson's Correlation Coefficient, bivariate chi-square, contingency table, outliers Evidence-based approach

Suggested Citation

Elton, Robb, A Quantitative Analysis of Oklahoma Commutations Prior to Mcgirt v. Oklahoma (July 11, 2021). Available at SSRN: https://ssrn.com/abstract=3884274 or http://dx.doi.org/10.2139/ssrn.3884274

Robb Elton (Contact Author)

National University ( email )

9388 Lightwave Ave
San Diego, CA 92123
United States

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