Applied Quantitative Research (SOCY3039)
Information valid for Semester 2, 2023
Course level
Undergraduate
Faculty
Humanities Arts Social Science
School
Social Science School
Units
2
Duration
One Semester
Attendance mode
In Person
Class hours
Lecture 2 Hours/ Week
Tutorial 1 Hour/ Week
Incompatible
SO320 or SOCY3019, SO323 or 423 or SOCY7039
Prerequisite
SOCY2339
Assessment methods
Computer assignments
Course enquiries
Current course offerings
Course offerings | Location | Mode | Course Profile |
Semester 2, 2024 (22/07/2024 - 18/11/2024) | St Lucia | In Person | Course Profile |
Please Note: Course profiles marked as not available may still be in development.
Course description
Skills in applied 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 conducting quantitative analyses. Topics covered include: a revision of descriptive and inferential statistics; bivariate and multiple linear regression; binary, ordered and multinominal logistic regression; and the use of statistical software for data analysis (Stata). A defining characteristic of this course is its focus on the practical application of the methods covered, rather than on their mathematical or statistical properties.