Use the Impact Assessment dataset (click here or see below). We’re going to do some data drills involving hypothetical situations where a crime analyst would be asked to analyze temporal trends in data to see if the evidence is consistent with an argument that a crime reduction intervention was successful. You don’t need to do any outside research, but you should communicate the results clearly and accurately in text, table, and graphic form.Be sure to calculate (at least) frequency, percent, and percent change. For each question, use these questions to guide and focus your analysis and presentation:
- What would we need to see to conclude that the evidence is consistent with this claim?
- When we analyze the data, what do we see?
- What do we conclude based on our results?
1. In January 2008, Fairfax County, Virginia implemented a new community (re)integration program for parolees and probationers. Suppose we are in 2013, and the county is facing major financial setbacks. One proposal is to abolish the community (re)integration program. Suppose further our class has been hired by the program administrators to make an evidence-based case for continued funding of this program.
2. Virginia Beach got a new mayor in 2005. This new major bragged about causing a major turnaround in the property crime rate. He said his “tough on theft” stance deterred would-be thieves, thereby reducing crime and victimization. Analyze the relevant data, and determine whether the data support the mayor’s boast.
