Applied Quantitative Research (SOCY3039)
Information valid for Semester 2, 2025
Course level
Undergraduate
Faculty
Humanities, Arts and Social Sciences
School
Social Science School
Units
2
Duration
One Semester
Attendance mode
In Person
Class hours
2 Lecture hours
2 Practical or Laboratory hours
Incompatible
SO320 or SOCY3019, SO323 or 423 or SOCY7039
Recommended prerequisite
SOCY2339
Assessment methods
Class computer assignments and one 3000 word research paper
Course enquiries
Associate Professor Renee Zahnow (Semester 2, St Lucia, In person)
Current course offerings
| Course offerings | Location | Mode | Course Profile |
| Semester 2, 2025 (28/07/2025 - 22/11/2025) | St Lucia | In Person | Profile unavailable |
Please Note: Course profiles marked as not available may still be in development.
Course description
Skills in quantitative data analysis are highly sought after by employers and are widely used by researchers in academia, government agencies, private companies and community organizations. This course teaches some of the most important quantitative data analysis techniques to equip students to undertake their own research and to assess the research of others. The course is ideal for those who are planning to undertake a quantitative honours thesis or work in an area that requires evaluating or undertaking quantitative research. Topics covered include revision of descriptive and inferential statistics; bivariate linear regression; multiple linear regression; scaling and index construction, logistic regression; use of Stata statistical software for data analysis.
