PLCY 809 Data & Analysis Policymakers

This course is designed to give students tools for understanding and avoiding the misinterpretation or misuse of quantitative data. Using case studies, students will learn how to identify common analytical biases and errors that lead to faulty conclusions or flawed applications of research findings.

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.


Second in the series of courses in research methodology, PLCY 809 equips the doctoral student to examine potential pitfalls associated with analytical inquiry in the field of public policy. The student will learn to discern the quality of research outcomes associated with published research. Proficiency in this area will position the student to develop research agendas that assess societal conditions for making recommendations on governance, affording empirical evidence for the evaluation of overall impact of actions resulting from competing theories.


Textbook readings and lecture presentations/notes

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 (3)

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 words and demonstrate course-related knowledge, citing at least 3 scholarly sources in current APA format. In addition to the thread, the student is required to reply to 2 other classmates’ threads. Each reply must be 250 words and cite at least 2 scholarly sources in current APA format. All threads and replies must adhere to current APA format.

SPSS Replication Lab Assignments (7)

SPSS Replication Lab Assignments are designed to introduce the student to the fundamentals of statistics and its application using SPSS. The student will replicate assigned exercises from the Knapp text. These labs will cover the basics of descriptive and inferential statistics, including but not limited to hypothesis testing, graphs, correlation and regression, analysis of variance and select nonparametric procedures. 

Quantitative Case Study Assignment

The student will write a 15–20-page case study paper that explores an existing research project or study, evaluating it based on six key elements of high quality research: 1) sound reasoning; 2) appropriate research strategy; 3) appropriate data assignment; 4) presentation of research within relevant context; 5) explanation of practical importance of research question; 6) reflections on relevance of research for public policy. This assignment must include 50 citations in current APA format.

Quizzes (5)

Each quiz will cover the Learn material for the assigned Module: Week. Each quiz will be open-book/open-notes, contain 10 true/false questions, and have a 1-hour time limit. Careful reading of assigned material prior to taking each quiz is required to maximize performance.


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