Problem Statement
Problem Statement:
For this assignment students should present their research/evaluation question. Your research question should be framed in the literature, which should include evidence of why your question is important, how it fits the current understanding of the topic, and how your study will add to the field. Your problem statement should also include a brief (3-4 double spaced pages) literature review on the topic.
Required Readings
Johnson, Gail. (2014). Research Methods for Public Administrators. 3rd edition. Routledge. Recommended: Newton, Rae R. and Kjell Eric Rudestam. (2013). Your Statistical Consultant. 2 nd edition. Sage. Pollock, Phillip H. (2016). An IBM SPSS Companion to Political Analysis. 5th edition. Sage.
Objectives
- Describe the research process
- Distinguish between experimental and non-experimental research designs
- Describe the ethical issues associated with research.
- Develop the ability to research and communicate complex issues in writing.
- Interact effectively and demonstrate composure, professionalism, and respect for others.
- Communicate ideas professionally and effectively in class discussions.
What is Due?
- Problem Statement
Learning Activities
This week we consider experimental, quasi-experimental, and other non-experimental research designs. Both are intended to support causation and quantitatively assess program outcome and impacts. While experimental groups are often preferred in terms of scientific rigor and high levels of validity, it is not always possible to randomly assign or randomly allocate who participate in a program.
The Freakonomics podcast “Should you bribe your children?” explores the policy issue of children making healthy food choices. In this podcast, I want you to pay attention to the design of the researcher’s study. More specifically, pay attention to how the design is set up in their “experiment” to establish a causal link.
Read: Johnson Chapter 5
Review: lectures on Experimental Design, Quasiexperimental Design
Watch: the following videos to broaden and deepen your understanding of experimental, quasiexperimental and nonexperimental designs.
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