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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.
This graduate-level course is 6 weeks. To enroll, speak with an Enrollment Advisor.
  • Communicating Research Findings in a Policy Framework

    • Make a presentation of research findings.
    • Prepare a policy memo using research findings.
  • Statistics for Explanation

    • Use regression to forecast future values of multivariate data items.
    • Use correlation to calculate the degree of association among multivariate data items.
  • Statistics for Description

    • Describe how research findings may be used in policy argumentation.
    • Conduct hypothesis tests of statistical significance as a quantitative means of answering research questions.
    • Use statistics that summarize, organize, and present data.
  • Data Sources and Data Collection

    • Extract secondary data from online databases.
    • Identify ethical issues associated with data collection.
    • Design a survey administration plan.
  • Validity and Reliability and Their Importance to Policy Research

    • Differentiate adequate and inadequate sampling plans for policy research.
    • Identify validity and reliability issues in the measurement of variables.
    • Explain methods of structuring policy problems for analysis.
  • Research Design and Its Importance to Public Policy

    • Select between descriptive and explanatory research designs for various forms of policy analysis.
    • Identify forms of policy analysis and associated practices.
    • Create clearly stated research questions.

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