Data Analysis For Public Policy And Management – qnt562 (3 credits)
This course prepares students to analyze information and present it appropriately to diverse stakeholder groups. Students will collect and analyze primary and secondary data to measure effectiveness and efficiency in the delivery of public sector goods and services. Other topics, at the state and local level, include pretesting, posttesting, correlation, and forecasting.
Use statistics that summarize, organize, and present data.
Conduct hypothesis tests of statistical significance as a quantitative means of answering research questions.
Describe how research findings may be used in policy argumentation.
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
Prepare a policy memo using research findings.
Make a presentation of 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.
Identify ethical issues associated with data collection.
Extract secondary data from online databases.
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