Data Analysis for Qualitative Information
As is the case with most decisions in public and nonprofit management, there often is not a “right” or “correct” answer. This is the case with qualitative measurement. Variables may be measured in a variety of ways. Some variables lend themselves to numbers and quantification. Income is a perfect example of this. However, other variables are better measured with words or narrative descriptions. If you want to learn about someone’s experiences participating in a program, you may want to use open-ended questions in an interview or survey to collect this information. This data is qualitative in nature and would be entirely appropriate for your purposes.
For this week’s Discussion, determine what information needs to be measured in a qualitative fashion in your evaluation of the organization’s program, problem, or policy. Review the Learning Resources for this week. Consider what types of qualitative data would be appropriate for your Final Project and the tools and techniques you would use to analyze this information.
‘Write a description of the qualitative data and the analytical tools and techniques that would be most useful for evaluating your organization’s program, problem, or policy. Justify the use of these tools and techniques, and explain why they are the most appropriate for use in your evaluation.
(Introduction to Final Project Below)
Evaluation of policies is essential as it assists in determining their effectiveness. The following paper delineates how the quasi-experimental would be used to evaluate the Eric Garner Anti-Chokehold Act. New York City Police Department (NYPD) is one of the most recognized police departments in the US. However, NYPD has been accused of corruption, transgression, and brutality. Quasi-experimental design will be used to evaluate if the policy will be effective in decreasing police brutality in New York City. The act prohibits the police from applying harmful chokeholds against people. Besides, the policy recognizes aggravated strangulation as a new criminal activity. Some protestors and officials have called for the defunding of police departments. Some mayors plan to defund the police departments in their regions. A quasi-experimental design will also be used to evaluate if defunding the police will eradicate police brutality.
The most appropriate evaluation design for the described policy would be quasi-experimental. A quasi-experimental design allows researchers to determine the causal impact of a specific program or independent variable on participants without random assignment. Purposive sampling is the most appropriate sampling method for selecting the sample for the evaluation study. This sampling method requires the researcher to utilize his or her judgment when identifying study participants from a specific population. The potential ethical issues associated with quasi-experimental design include bias, internal validity, confidentiality, and informed consent. The anticipated findings after the evaluation will reveal what would be expected if the research was performed. The policy will decrease police brutality in New York City. Besides, defunding NYDP will also reduce brutality in the region.
• Johnson, G. (2014). Research methods for public administrators (3rd ed.). Armonk, NY: M. E. Sharpe.
o Chapter 11, “Qualitative Data Analysis” (pp. 162–170)
• 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
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