PLCY 810 Quantitative Methods I

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.

Course Guide

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*The information contained in our Course Guides is provided as a sample. Specific course curriculum and requirements for each course are provided by individual instructors each semester. Students should not use Course Guides to find and complete assignments, class prerequisites, or order books.


The student 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.


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

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Course Requirements Checklist

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

Discussions (4)

Discussions are collaborative learning experiences. Therefore, the student will take part in 4 Discussions in which he or she will post a 750-800 word thread presenting his or her 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, the student will post replies of 200–250 words each to 2 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. The student must post his or her comments in the body of the discussions and not as a file. See the grading rubric for specific guidelines and grading procedures.

SPSS Exercise Assignments (7)

There are total of 7 required SPSS exercises for this course. These exercises will be performed in SPSS using the assigned exercise within the Knapp textbook. Datasets for the exercises are provided by SAGE from the Knapp textbook for each exercise. These must be submitted in MS Word format, where the student will insert graphics, tables, and other required outputs from SPSS into the Word document. 

Data Analysis Paper Assignments (3)

This course requires 3 data analysis assignments, each 5-7 pages. The student will be required to perform hands on analysis in SPSS using downloadable datasets accompanying the Knapp textbook. The assignments will be submitted in a Word document, adhere to APA current edition format, and supported by course readings and outside peer-reviewed journals, as appropriate.

Comprehensive Research Paper Assignment

The comprehensive academic research paper assignment that must include an Abstract, Introduction, Literature Review, Method, Analysis, Discussion, Conclusion, and References. The submitted work should be at the doctoral level with supporting academic research. The assignment will be submitted in a Word document, APA current edition format, and supported by course readings and outside peer-reviewed journals, as appropriate. The assignment must have 12-14 pages of content and a minimum of 20 scholarly sources.


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