This is an ISSR course and places are highly limited as Graduate School is paying the fee. If you are unable to attend, please de-register (or email graduateschool@uq.edu.au if you are unable to do so). An unexplained absence could result in all your future ISSR registrations becoming Waitlisted.

The course will provide an understanding of types of data and data sources, types of variables and sources of variation. We will review summary statistics and introduce statistical analyses for examining group differences and relationships between variables. By the end of this course you should have a better understanding of the data you are, or will be, working with and a starting off point for exploring and analysing your data. The course has a focus on the types of data and descriptive analysis methods best suited to social sciences, and does not contain a software training component. 

About Research design

Your research degree requires the ability to apply "analytical and critical thinking skills to generate new knowledge, investigate problems and develop inventive solutions" (UQ HDR Graduate Attributes, 2017). This starts with determining the design of the research study through understanding and justifying the chosen methodologies and analytical methods. Building these skills during your research degree will equip you with the knowledge to apply them in a wide variety of contexts during your career.

The Graduate School has a range of sessions covering research methodolgy and methods delivered by esteemed providers such as ISSR.

Useful links

  1. National University of Singapore Quantitative and Qualitative Research for Beginners
  2. University of Endinburgh Introduction to Social Research Methods
  3. Ural Federal University Scientific Methods and Research
  4. MIT's Qualitative Research Methods: Data coding and analysis
  5. UQ's Introduction to Psychological Research Methods