Supporting Criminal Justice Policy


Abstract
Criminal justice policies have been implemented or mandated with statistical research data. Protection of the common public and implementation of anti-crime programs have been established by criminal justice professionals through quantitative and qualitative strategies, numeric data about crimes, and in-depth information about a variety of social issues and concerns. Evaluating statistical data is a crucial part of any effective administering of criminal justice policy. Both statistical research and criminal justice policy go hand in hand. Reliable statistical data is a necessary component of the criminal justice system.  
Supporting Criminal Justice Policy with Statistical Data
Fighting crime is only one aspect of the criminal justice system. Countries are growing, changing, and evolving. Social issues continue to be a major concern of populations. Young offenders are now tried as adults. Police practices are scrutinized and often police brutality reports are on the rise. Media coverage is rampant and citizens with smartphones can record incidents as they unfold. Now, more than ever, statistical data is important when it comes to researching the number and types of crimes committed, the criminal type (male, female, serial, repeat offender, etc.), along with political, social, and geographic unrest in parts of some countries. The need for policy implementation changes as the needs of society change.
Governments are undertaking the task of researching and compiling data reports. With ever increasing technological advances, it is easier to collect and compile data. Local data can be compared to the national averages in order to implement changes in policy on the city or county levels. Economic changes and political unrest as well as public demand make way for justice policy changes. Collecting and analyzing data is crucial in implementing new policies.

Policy Research and Analysis is a Good Thing

Several factors are involved with combining policy and analysis and implementing policy changes. First and foremost, the data must be checked for accuracy. If data contains errors, then the analysis produces faulty results. If results are published without checking for accuracy, populations and government administrations are misled. Data analysis, quite possibly, will uncover errors. It is crucial in getting the data accurate, whether it be the participant’s data or numerical values (Hurley, 2014). No one wants the embarrassment of misinformed information, not to mention the backlash it would presumably cause.

Administering Policy

The criminal justice system relies heavily on information systems to process sound statistical analysis in order to deliver effective programs from local communities to international communities. This broad collection of data allows the criminal justice system to apprehend fugitives, alert the public of safety issues such as Amber Alert, budget, build new facilities and acquire equipment, and respond to issues plaguing many programs already in place. Political candidates, U.S. Congress, state and federal governments, and public demand all play a role in criminal justice policy analysis. The administering of policy is not new; police, prosecutors, judges, probation and parole officers have all long since been required to make subjective judgment calls on policy implementation (Mayson, 2019).

Policy Evaluation

Evaluation is an important stage of policy implementation. For instance, many states have attempted to legalize marijuana for medicinal purposes only. Washington and Colorado have been successful in changing their laws as early as 2012. These states have also implemented a list of approved growers of the plant. How did this process come about? By evaluating a growing need to better process criminals in the justice system; thereby decriminalizing the use of marijuana for medical reasons alone (Sage Publishing Company, 2017). Evaluating this change in order to help patients with debilitating illnesses has spurred this controversial debate. As more and more states are changing laws to enable the use of marijuana for medicinal purposes, it is only a matter of time before marijuana will be legalized; therefore, changing laws nationwide.

Bias in Criminal Justice Policy is not a Good Thing

Most of today’s software programs are also filled with bias against certain races of people. Automated prediction programs have been used to make decisions that affect government and commercial activity such as who gets hired or promoted, who is extended credit by credit card companies, what advertisements are displayed, and policing (Mayson, 2019). One suggestion is to hide the race of the alleged offender from information reports supplied by police to prosecutors. The mugshot and race identifiers are included in their file automatically and solely for police identification only; not relevant information for the prosecution. By allowing only the necessary information to be exposed, bias can be eliminated and removed.
Conclusion
The criminal justice system relies on statistical research data to collect reliable results for anti-crime programs and other initiatives. Testing this data for accuracy and evaluating the results is a crucial step towards creating effective policies that will affect communities and populations. Many social issues and concerns have been solved through effective policy implementation. Many states are taking initiatives to change policies and laws by allowing citizens more leniency with marijuana, an illegal drug still in many areas of our nation. Past history is still prevalent in society today with bias against certain races of people. Statistical research attempts to find ways to eliminate bias. Even with all our technological advances in software programs, bias remains an issue. Finding and eliminating errors is a crucial function of reliable criminal justice policy.
References
Hurley, M. (2014). Cleaning a data set to make ready for analysis. Sage Research Methods Cases.  Retrieved from http://methods.sagepub.com/case/cleaning-a-data-set-to-make-ready-for-analysis?
Mayson, S. G. (2019, July). Bias in, bias out. The Yale Law Journal, 128(8), 2218. Retrieved from http://eds.a.ebscohost.com/eds/pdfviewer/pdfviewer?vid=1&sid=4c93199d-96b3-46c4-8bb2-2d58e07defe8%40sessionmgr4006
Sage Publishing Company. (2017). Criminal justice policy. Retrieved from https://us.sagepub.com/sites/default/files/chapter_6._criminal_justice_policy_0.pdf





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