Inferential Statistics and Measures of Association

Inferential Statistics and Measures of Association

One of the primary areas of focus for research and evaluation in public and nonprofit sectors is exploring the relationship between variables. For exOne of the primary areas of focus for research and evaluation in public and nonprofit sectors is exploring the relationship between variables. For example, as a public administrator, you might be interested in determining the effectiveness of a public program. To do this, you would explore the relationship between the program and its intended outcome. Consider a program intended to reduce homelessness. You would need to reduce the number or percentage of citizens who lack suitable housing in order to be considered successful. Sometimes, you might need to consider additional variables in assessing the success of the homelessness program. In this case, measures of association and inferential statistics can help you sort out these types of relationships.

There are many types of inferential statistics (e.g., t-tests for independent samples means, t-tests for proportions, analysis of variance, etc.) and many types of measures of association (e.g., Lambda, Gamma, and Pearson’s r, etc.). A skilled researcher must have the ability to select the most appropriate statistic for a given situation. As noted in your course text, selecting the appropriate statistic is based on the purpose of the research, the measurement level of the variables, the measure’s sensitivity, and the researcher’s familiarity with the statistic. Therefore, there is no “perfect” statistic. Instead, you must determine the “most appropriate” statistic for your research.

To prepare for this Discussion, review Chapters 13 and 15 in your course text, paying particular attention to the selection and use of inferential statistics and measures of association. Review the four criteria for selecting the best measure, keeping in mind the purpose for which you might use measures of association. Finally, think about which inferential statistics and measures of association you might use in your Final Evaluation Design (Final Project) to answer your research question. Use the four criteria to help you make a selection.

ASSIGMENT

Write a description of the inferential statistics and measures of association that would be most appropriate for your evaluation and answer your research question. Explain how you would use them, and justify why these statistics and measures are most appropriate for your Final Evaluation Design (Final Project).am

(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.

Required Resources

Readings

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

o Chapter 14, “Data Analysis: Exploring Relationships” (pp. 198–215)

o Chapter 16, “Data Analysis Using Inferential Statistics” (pp. 230–243)

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