Course Description
Explores the research process, focusing on the design, data preparation, and analysis necessary for quantitative studies in Business and Economics. Topics include advanced quantitative methodologies, advanced methods in data management, and problems frequently encountered with the use of data.
Syllabus
Student Learning Outcomes, Goals, Objectives:
Students successfully completing this course will be able to:
- Identify software-independent practical techniques for working with data.
- Utilize Stata to prepare data for analysis.
- Conduct descriptive analysis of large data sets using Stata.
Course Grading Information:
| Activity/Performance Measure | Percentage/Points |
|---|---|
| Homework | 60% |
| Final Project | 40% |
Grading Scale
| Percentage | Letter Grade |
|---|---|
| 93% to 100% | A |
| 90% to 92% | A- |
| 87% to 89% | B+ |
| 83% to 86% | B |
| 80% to 82% | B- |
| 77% to 79% | C+ |
| 70% to 76% | C |
| 0% to 70% | F |
Attendance/Participation:
Attendance/participation is not a graded component included in the student's final grade for this course.
Course Materials Purchased by the Students:
- Mitchel, Michael N. 2020. Data Management Using Stata: A Practical Handbook. Stata Press.
- Long, J. Scott. 2009. The Workflow of Data Analysis Using Stata. Stata Press.
- Stata 19.
Scholarly Perspectives
This course engages diverse scholarly perspectives to develop critical thinking, analysis, and debate and inclusion of a reading does not imply endorsement.