Principal speaker
Associate Professor Sama Low-Choy
Mixed methods may have a tarnished reputation in some fields, especially where the quantitative analysis is poorly conducted or reported. This workshop eeks to redress this problem! We cover some basic concepts that shape quantitative analysis and contrast them with corresponding concepts in qualitative analysis. This aims to help resolve confusion about key concepts which often arise due to misunderstandings across methods and paradigm. Some topics covered include: describing the population; counting; sample size; extrapolation; subjectivity.
Intended audience: Beginners.
Connection to other workshops: This workshop contrasts and compares concepts underlying quant or qual methods. Understanding probability focuses on interpretation of probabilities, which helps people recognize common misunderstandings of quant concepts. Basic methods of survey analysis addresses how to create and interpret tables and graphs of frequencies, and thus revisits some of these quant concepts in a technical sense.
Recommended Readings:
Maxwell J, Chmiel M, Rogers SE (2015) Designing Integration in Multimethod and Mixed Methods Research, Chapter 12 in Hesse-Biber S & Johnson N (Eds), The Oxford handbook of multimethod and mixed methods research inquiry, Oxford University Press, pp223-239.
Low-Choy et al (2021) and Rose et al (2021) in Chan J & Saunders P (Eds), Big data for Australian social policy: Developments, benefits and risks, Australian Social Science Academy, available from: https://socialsciences.org.au/publications/big-data-for-australian-social-policy/
This session is for current Griffith University staff and students only.
Event categories
RSVP
RSVP on or before Monday 18 November 2024 14.45 pm, by email red@griffith.edu.au , or via https://events.griffith.edu.au/vnbY7L