Data Analysis and Interpretation (EDUC91323)

This subject develops students' capability to evaluate the quality of educational measurements and the inferences made from them. The subject focuses on educational measurement and psychometrics, examining issues of validity, reliability, fairness, and bias across data from individual learners to large-scale assessments. No statistical background is required; students will not be expected to memorise formulae or run complex analyses. Instead, the subject emphasises major concepts in educational measurement and builds conceptual understanding of how psychometric analyses work. Students will use user-friendly analysis software to evaluate validity, reliability, fairness, and bias, and to interpret outputs and visualisations for different purposes.