A Systematic PLS-SEM Approach to an Assessment of Unemployment among University Graduates in Madagascar

The number of university students has markedly increased over the last half-century along with remarkable expansion universities and their campuses, reflecting high demand. objectives this study were an empirical analysis unemployment among graduates in Madagascar, PLS-SEM approach to some attributes, its relationship education, age, gender may have impacts on DV. This was based assessment Madagascar. We tried check how attribute can influence job seeking. A semi-structured questionnaire adopted from existing literature modified as per area. main indicators research were: Lack Awareness (LOA); Opportunity (LOO); Proper Skills (LOPS); Over Qualified (OQ); Unemployment (U); Weak GDP (W-GDP). In study, 450 completed filled questionnaires collected area a pre-test carried out reliability data avoid any discrepancies. is used analyze relationships variables, since it most often recommended way for predicting assessing explained variables account largest potential variance, one effective approaches outcomes. bootstrapping test using 5000 replicates evaluate degree which our findings consistent hypothesis. direct path revealed that LOA -> U (β = 0.051; p 0.444); LOO -0.164; 0.014); LOPS 0.358; 0.000), OQ =0.215; 0.000); W-GDP 0.415; 0.000) are significant/insignificant values. These results offer support hypotheses H1 rejected H2-H5 accepted. As model, we say results, reasons Age, gender, education considered control under research, dependent variables: age -0.111; 0.004), -0.025; 0.526), -0.056; 0.126). values DV, significant DV while do not show relationship.