qnt562 | Graduate
Data Analysis For Public Policy And Management
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Statistics for Description
- Conduct hypothesis tests of statistical significance as a quantitative means of answering research questions.
- Describe how research findings may be used in policy argumentation.
- Use statistics that summarize, organize, and present data.
Statistics for Explanation
- Use correlation to calculate the degree of association among multivariate data items.
- Use regression to forecast future values of multivariate data items.
Communicating Research Findings in a Policy Framework
- Make a presentation of research findings.
- Prepare a policy memo using research findings.
Research Design and Its Importance to Public Policy
- Create clearly stated research questions.
- Identify forms of policy analysis and associated practices.
- Select between descriptive and explanatory research designs for various forms of policy analysis.
Validity and Reliability and Their Importance to Policy Research
- Explain methods of structuring policy problems for analysis.
- Identify validity and reliability issues in the measurement of variables.
- Differentiate adequate and inadequate sampling plans for policy research.
Data Sources and Data Collection
- Design a survey administration plan.
- Extract secondary data from online databases.
- Identify ethical issues associated with data collection.
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