Violent Crime in the City of Chicago

Include the following in your Draft Evaluation Design:

Describe the program, problem, or policy that you identified.

(Violent Crime in the City of Chicago)

Identify and explain your revised research question and variables to be used in your evaluation.

(Why did violent crimes increase in the City of Chicago)

Identify and explain the revised research/evaluation design to be used in your evaluation and how this design addresses issues of validity and reliability.

(Case Study) or you can choose it.

Identify and explain the sampling design to be used in your evaluation and the anticipated size of your sample.

(Simple Random Sample)

Identify and explain the information/data needed for the evaluation. Explain how, specifically, this information will be collected (e.g., what secondary sources you will use and/or what data collection instrument you will use to collect the information). If you plan on using a survey, please include the survey in an appendix to your paper.

Use at least 10 scholarly sources from the library that were published within the past five years to support your paper. Be sure to follow APA guidelines when citing your sources.

The Draft Evaluation Design should be double-spaced and 13 pages in length, not including the cover and reference pages.

Here’s some references from class:

Johnson, G. (2014). Research methods for public administrators (3rd ed.). Armonk, NY: M. E. Sharpe.

Litman, T. (2008). Evaluating research quality: Guidelines for scholarship. Victoria, British Columbia:Victoria Transport Quality Institute.

Litman, T. (2012). Evaluating Research Quality Guidelines for Scholarship. Victoria Transport Policy Institute. Retrieved from http://www.vtpi.org/resqual.pdf Used with permission from Todd Litman.

Washington State Institute for Public Policy. (2004). Outcome of Washington state’s research-based programs for juvenile offenders. Retrieved from www.wsipp.wa.gov/ReportFile/852

Carnochan, S., Samples, M., Myers, M., & Austin, M. J. (2013). Performance measurement challenges in nonprofit human service organizations. Nonprofit and Voluntary Sector Quarterly. doi: 10.1177/0899764013508009

Cave, E., & Holm, S. (2003). Milgram and Tuskegee: Paradigm research projects in bioethics. Health Care Analysis, 11(1), 27–40.

Hatry, H. P. (2013). Sorting the relationships among performance measurement, program evaluation, and performance management. New Directions for Evaluation, 2013(137),19–32.

Lee Abbott, M., &McKinney, J. (2012) Learning from populations: Censuses and samples. In Understanding and applying research design. Hoboken, NJ: John Wiley & Sons.

McCauley, C. (2012). Testing theories of radicalization in polls of U.S. Muslims. Analyses of Social Issues and Public Policy, 12(1), 296–311.

American Society for Public Administration (ASPA). (Revised 2013). ASPA code of ethics. Retrieved from http://www.aspanet.org/public/ASPA/Resources/Code_of_Ethics/ASPA/Resources/Code%20of%20Ethics1.aspx?hkey=acd40318-a945-4ffc-ba7b-18e037b1a858

StatPac. (2009). Qualities of a good question. Retrieved from http://www.statpac.com/surveys/question-qualities.htm

Silver, N. (2012). Which polls fared best (and worst) in the 2012 presidential election? New York Times, November 12, 2012. Retrieved from http://fivethirtyeight.blogs.nytimes.com/2012/11/10/which-polls-fared-best-and-worst-in-the-2012-presidential-race/?_r=0

Gallup.com. (2013). How does Gallup polling work? Retrieved from http://www.gallup.com/poll/101872/how-does-gallup-polling-work.aspx

Surveyspro. (2009). Reporting survey results. Retrieved from http://www.esurveyspro.com/article-reporting-survey-results.aspx

Gallup. (2013). Understanding Gallup’s likely voter procedures for presidential elections. Retrieved from http://www.gallup.com/poll/111268/how-gallups-likely-voter-models-work.aspx

• Edin, K., & Pirog, M. A. (2014). Special symposium on qualitative and mixed-methods for policy analysis. Journal of Policy Analysis Management, 33(2), 345–349.

• Special Symposium on Qualitative and Mixed-Methods for Policy Analysis by Edin, K., & Pirog, M. A. in Journal of Policy Analysis and Management, 33(2), 345–349. Copyright 2014 by John Wiley & Sons – Journals. Reprinted by permission of John Wiley & Sons – Journals via the Copyright Clearance Center.

• Harding, D. J., Wyse, J. J. B., Dobson, C., & Morenoff, J. D. (2014). Making ends meet after prison. Journal of Policy Analysis Management, 33(2), 440–470.

• Making Ends Meet After Prison by Harding, D. J., Wyse, J. J. B., Dobson, C., & Morenoff, J. D. in Journal of Policy Analysis and Management, 33(2), 440–470. Copyright 2014 by John Wiley & Sons – Journals. Reprinted by permission of John Wiley & Sons – Journals via the Copyright Clearance Center.

• Randles, J. M. (2014). Partnering and parenting in poverty: A qualitative analysis of a relationship skills program for low-income, unmarried families. Journal of Policy Analysis Management, 33(2), 385–412.

• Partnering and Parenting in Poverty: A Qualitative Analysis of a Relationship Skills Program for Low-Income, Unmarried Families by Randles, J. M. in Journal of Policy Analysis and Management, 33(2), 385–412. Copyright 2014 by John Wiley & Sons – Journals. Reprinted by permission of John Wiley & Sons – Journals via the Copyright Clearance Center.

• Vaterlaus, J., & Higginbotham, B. (2011). Qualitative program evaluation methods. NCSU: Raleigh, NC. Retrieved from http://ncsu.edu/ffci/publications/2011/v16-n1-2011-spring/vaterlaus-higginbotham.php

Taber, D. R., Chriqui, J. F., Powell, L., & Chaloupka, F. J. (2013). Association between state laws governing school meal nutrition content and student weight status: Implications for new USDA school meal standards. JAMA Pediatrics, 167(6), 513–519.

• Hill, J. (n.d.). Introduction to descriptive statistics. University of Illinois, Mathematics, Science and Technology Education. Retrieved June 7, 2014, from http://mste.illinois.edu/hill/dstat/dstat.html

Trochim, W. M. K. (2006, October 20). Inferential statistics. Retrieved from http://www.socialresearchmethods.net/kb/statinf.php

Garson, G. D. (2009, April 4). Logistic regression. Retrieved from http://faculty.chass.ncsu.edu/garson/PA765/logistic.htm

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