PPOL 505 Applied Public Policy Research Methods
Course Description
This course will study research methods, research strategies, and statistical analysis skills necessary to both produce and critically analyze research reports and data compilations used in forming public policy.
For information regarding prerequisites for this course, please refer to the Academic Course Catalog.
Course Guide
View this course’s outcomes, policies, schedule, and more.*
Rationale
The study of research is important for those in public policy. Understanding research is an important part of understanding how policy impacts people. In this course, the student will be challenged to explore the basic tenets of various research methodologies available to public policy researchers. This course will also challenge and equip the student to interpret research findings so that he or she can make policy decisions or provide others with the information needed to make policy decisions.
Course Assignment
Textbook readings and lecture presentations
No details available.
Course Requirements Checklist
After reading the Course Syllabus and Student Expectations, the student will complete the related checklist found in the Course Overview.
Discussions (2)
Discussions are collaborative learning experiences. Therefore, the student is required to provide a thread in response to the provided prompt for each discussion. Each thread must be 500-750 words and demonstrate course-related knowledge. In addition to the thread, the student is required to reply to 2 other classmates’ threads. Each reply must be 200–300 words.
Practice Exercise Assignments (4)
Practice exercise assignments are an opportunity to practically apply the course materials. The student will use SPSS and course texts to answer various questions related to course content. Assignments will vary in length.
Application Paper Assignments (2)
Application Papers allow the student to apply the statistical analysis tools they have practiced throughout the course. The papers will use SPSS to analyze a unique dataset or use course materials to evaluate the findings of others.
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