Quantitative Methods I – PLCY 810

CG • Section 8WK • 11/08/2019 to 04/16/2020 • Modified 02/10/2022

Course Description

Quantitative Analysis I discusses probability theory and hypothesis testing within the context of public policy decision-making. As an introduction to basic statistical distributions, this course covers the tests of difference in means, proportions, basic generalized linear themes such as regression and ANOVA. Also introduced are commonly encountered nonparametric tests.

For information regarding prerequisites for this course, please refer to the Academic Course Catalog.

Rationale

Students will learn to apply quantitative methods best practices in a manner applicable to the public administration sector. Ethical and Biblical principles will be applied to the management of data and presentation of results.

Measurable Learning Outcomes

Upon successful completion of this course, the student will be able to:

  1. Develop an understanding and appreciation for the importance of empirical research in public administration and policy.
  2. Identify which research designs and data collection strategies are best suited to a research question of interest.
  3. Develop research questions and testable hypotheses linked to existing theory or research.
  4. Demonstrate ability to develop hypotheses, choose appropriate statistics to test them, and describe the results correctly.
  5. Perform descriptive and inferential statistical analysis of public datasets using SPSS software.
  6. Interpret results from descriptive and inferential statistical analysis of public administrative datasets and place results in APA formatted text, tables, and figures.

Course Assignment

Textbook readings, journal articles, government reports, websites, and lecture presentations

Course Requirements Checklist

After reading the Syllabus and Student Expectations, the student will complete the related checklist found in the Course Overview.

Discussions (4)

You will take part in 4 Discussion Board Forums in which you will post a 750-800 word thread presenting your own opinion on the assigned topic. The thread must incorporate ideas and citations from all of the required readings and presentations for the assigned module/week in addition to 2 scholarly sources. Then, you will post replies of 200–250 words each to 3 or more classmates’ threads. Each reply must be unique and must integrate ideas (and citations) from the required reading and 2 scholarly sources. Each thread and reply must follow current APA format. You must post your comments in body of the discussion board and not as a file. See the grading rubric for specific guidelines and grading procedures.

Research Paper Assignments (2)

This course requires 2 data analysis assignments which help the student explore 2 of the 4 main components of quantitative methods: research design and strategic literature review. The assignments will be submitted in a Word document, APA current edition format, and supported by course readings and outside peer-reviewed journals, as appropriate.

Data Analysis Assignments (2)

This course requires 2 data analysis assignments which help the student explore 2 of the 4 main components of quantitative methods: data analysis in SPSS and results interpretation and presentation. Students will be required to perform hands on analysis in SPSS using downloadable datasets accompanying the Pallant (2020) textbook. The assignments will be submitted in a Word document, APA current edition format, and supported by course readings and outside peer-reviewed journals, as appropriate.