Analysing educational data using R: Work in progress

Last updated on Sun, Dec 6, 2020
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I am currently using the Longitudinal Surveys of Australian Youth (LSAY) and Programme for International Student Assessment (PISA) data, plus various data from the Australian Bureau of Statistics, to build my skills and experience visualizing, analysing and reporting on educational data using R. This includes conducting and reporting on factor analysis and multilevel regression analysis using R (and related packages). Work in progress will be shared on this project page (e.g., see publications listed below).

PISA Education Rstats
Lynley Aldridge
Lynley Aldridge

My research interests include social and educational inequality, transitions from education to employment, education, cross-cultural comparative research, migration/mobility, mental health/wellbeing, and Rstats.

Related

Publications

Principal components analysis, linear regression and multi-level regression using R: Replication and extension of Lin, Chai and Jong (2019)

This report replicates and extends analyses conducted in Lin, Chai, and Jong (2019), to introduce a number of packages that can be used with R for data analysis, reporting and visualization.
PDF Project