Occupational matching at the two-digit level of ANZSCO) Being employed in the destination occupation that matches with the intended occupation 4 268 42 650 56.2 - Not being employed in the destination occupation that matches with the intended occupation (reference category) 3 285 31 127 41.0 - Missing 220 2 107 2.8 - Annual income Known income (continuous) 7 371 71 922 5.2 51 234 Missing 402 3 962 94.8 - Total 7 773 75 884 100.0 Note: Estimated population is based on the adjusted weights and is used as the base to calculate the percentages. Source: Student Outcomes Survey, 2013. Explanatory variables A number of predictors that reflect students’ personal characteristics and training features in the trades are added in each model. The student attributes are gender, age, socioeconomic status, location, highest educational level prior to training, labour force status before training, and whether the student already worked in the intended occupation before training (based on the two-digit level of ANZSCO). Some added training attributes are students’ completion status of a trade qualification (qualification completion or completion), the level of trade qualification being studied, and whether students undertook their training as part of an apprenticeship or traineeship. Descriptive statistics for these explanatory variables are provided in table 4. Table 4 Descriptive statistics for predictors Predictors Categories n N % (weighted) Completion status Graduates 7 155 47 743 50.4 Module completers (reference category) 2 155 46 986 49.6 Sex Males 6 909 73 381 77.5 Females (reference category) 2 401 21 347 22.5 Age 35 years and over 3 576 29 039 30.7 25–34 years 1 985 22 777 24.0 15–24 years (reference category) 3 749 42 913 45.3 Highest qualification before training Diploma and above 1 538 13 969 14.7 Certificate III/IV 2 530 24 069 25.4 Year 12 2 594 28 080 29.6 Year 11 and below or certificate I/II* (reference category) 2 262 24 076 25.4 Missing 386 4 535 4.8 Employment status before training Employed full-time 5 450 52 383 55.3 Employed part-time 1 860 19 613 20.7 Not working before training (reference category) 1 613 18 029 19.0 Missing 387 4 704 5.0
Food trades workers 60.7 39.3 Skilled animal and horticultural workers/ other technicians and trades workers 51.5 48.5 Licence requirement Licensed trades 49.6 50.4 Non-licensed trades 49.6 50.4 Training was part of an apprenticeship or traineeship Yes 49.4 50.7 No 49.9 50.1 Socioeconomic status (SEIFA) Low disadvantage 48.8 51.2 Average disadvantage 47.9 52.1 High disadvantage 51.3 48.7 Location city 49.9 50.1 Regional/remote areas 49.1 50.9 Notes: * Includes miscellaneous education and did not go to school. Percentages do not sum to 100 due to rounding. Source: Student Outcomes Survey, 2013. Appendix B: Modelling results B1 Estimates from the logistic regression with respect to the probability of being employed after training (six sub-major intended occupations) Parameter Estimate Standard error Pr > ChiSq Intercept -0.7613 0.0441 <.0001 Completion status Graduates 0.2532 0.0391 <.0001 Module completers Reference category Trade area Food trades workers -0.0424 0.0436 0.331 Electrotechnology and telecommunications trades workers 0.3043 0.0540 <.0001 Construction trades workers 0.4165 0.0550 <.0001 Automotive and engineering trades workers -0.1294 0.0391 0.0009 Engineering, ICT and science technicians -0.2445 0.0444 <.0001 Skilled animal and horticultural workers/other technicians and trades workers Reference category Completion status by trade area Graduates as food trades workers 0.4220 0.0739 <.0001 Graduates as electrotechnology and telecommunications trades workers 0.5626 0.0844 <.0001 Graduates as construction trades workers 0.9991 0.0809 <.0001 Graduates as automotive and engineering trades workers 0.9478 0.0617 <.0001 Graduates as engineering, ICT and science technicians 0.0920 0.0576 0.1105 Graduates as skilled animal and horticultural workers/ other technicians and trades workers 0 . . Module completers as in food trades workers 0 . . Module completers as electrotechnology and telecommunications trades workers 0 . . Module completers as construction trades workers 0 . . Module completers as automotive and engineering trades workers 0 . . Module completers as engineering, ICT and science technicians 0 . .