Quantitative Methods II – PLCY 811
CG • Section 8WK • 11/08/2019 to 04/16/2020 • Modified 07/28/2020
Quantitative Methods II introduces the use of econometric statistical methods associated with causal inference. Topics include the following multivariate techniques: multivariate analysis of variance and covariance, path analysis, factor analysis, discriminant analysis, and logistic regression. Cross-sectional data will be analyzed within the context of public policy question.
Second in the series of courses in statistical methodology, Quantitative Analysis II, PLCY 811 equips the doctoral student with advanced tools of measurement in the field of Public Policy. Students will learn techniques supporting the development and testing of theory for public-sector decision-making. Proficiency in this area will position the student to develop indicators for assessing societal conditions, for making recommendations on governance, affording empirical evidence for the evaluation of overall impact of actions resulting from competing theories.
Measurable Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Demonstrate ability to perform specific multivariate techniques on policy data.
- Develop research proposal following National Science Foundation guidelines.
- Develop a pro-seminar presentation on your use of methods for policy research.
- Assess methodology used in published public policy research studies.
- Prescribe alternative research strategies to assess key public policy questions.
- Demonstrate working familiarity with the use of statistical software: R.
Textbook readings and lecture presentations/notes
Course Requirements Checklist
After reading the Course Syllabus and Student Expectations, the student will complete the related checklist found in Module/Week 1.
Discussion Board Forums (4)
Discussion boards are collaborative learning experiences. Therefore, the student is required to provide a thread in response to the provided prompt for each forum. Each thread must be 800 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 500 words. All threads and replies must adhere to current Turabian format.
Advanced Computational Labs [CL] (3)
These exercise are designed to cover the use of “R” Programming in the performance of the various Quantitative Analysis II econometric procedures. Using data sets provided, the student will perform designated quantitative operations and then check work against the solutions provided. Then, once that initial work is successfully achieved, the student will find data pertaining to the policy area of specialization and perform the same operations on the data retrieved. Then, the student will write a statement of findings.
The student will provide a 15-page policy paper that discusses: the background of the selected public policy question, its scope and severity. , a well-specified statement of the problem, policy alternatives, criteria by which the policy alternatives should be judged, and recommended action(s).