Ainol Madziah Zubairi

ESTIMATING A PREDICTION MODEL FOR THE EARLY IDENTIFICATION OF LOW EMPLOYABILITY GRADUATES IN MALAYSIA

This paper describes the development of a prediction model for the early identification of low employability graduates in Malaysia. A total of five proportional hazard models are estimated and using the criteria of percentage correctly and wrongly predicted, a prediction model is selected based on the percentage correctly predicted. The percentile of the predicted hazard rate is used as the employability index (EI). In the context of Malaysia, it is recommended that the 5th percentile graduates be considered as low employability graduates. With this early identification tool, specific intervention programs can be tailored for the right target groups.

Self-perceived assessment competencies and practices among university lecturers

Purpose – The purpose of this paper is to analyse the lecturers’ self-perceived competencies and practices in assessing students. Design/methodology/approach – An Assessment Practices Inventory Modified was administered to a sample of 329 randomly selected lecturers from six universities in Uganda. Factor analysis and multivariate analysis of variance (MANOVA) were used to address the research questions. Findings – The results of factor analysis yielded a factor structure of four variables; design, administration, interpretation, and application. The MANOVA multivariate test results highlighted differences in assessment competencies and practices among lecturers in the different academic levels (Wilks’ λ=0.732, F(16, 313)=5.624, p<0.05, η2=0.075), and in the interaction between type of university, specialisations, and academic levels (Roys largest root=0.073, F(8, 313)=2.543, p<0.05, η2=0.068). The Tukey HSD post hoc test results revealed that lecturers in the specialisation of education were different f...