Gender parity issues have been discussed widely in previous literature. While trend analysis for this phenomenon is still very limited. This study focuses on the effect of system expansion on faculty gender parity by using transfer function and ARIMA to tackle the series data. Gender parity index was transformed by Becker’s discrimination coefficient (D) to detect the patterns of gender parity in the selected higher education system. To predict the future trend, the ARIMA (autoregressive integrated moving average) was used to build the fittest model to interpret the trends of D in next decade. The findings display the higher education system still favored male faculty, whereas following the post-expansion in next decade, the gender parity will reduce its discrepancy. This study provides an example to tackle the similar issue in different higher education settings.
ICIC Express Letters Part B: Applications 11(3), p.221-227