Abstract:
Gender remuneration inequalities at universities have been studied in various parts of the
world. In South Africa, the responsibility largely rests with individual higher education
institutions to establish levels of pay for male and female academic sta members. The
multidimensional character of the gender wage gap includes gender di erentials in research
output, age, academic rank and quali cations. The aim in this paper is to demonstrate
the use of modern biplot methodology for describing and monitoring changes in the gender
remuneration gap over time. A biplot is considered as a multivariate extension of an ordinary
scatterplot. Our case study includes the permanent fulltime academic sta at Stellenbosch
University for the period 2002 to 2005. We constructed canonical variate analysis (CVA)
biplots with 90% alpha bags for the ve-dimensional data collected for males and females in
2002 and 2005 aggregated over faculties as well as for each faculty separately. The biplots
illustrate, for our case study, that rank, age, research output and quali cations are related to
remuneration. The CVA biplots show narrowing, widening and constant gender remuneration
gaps in di erent faculties.
