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Munich Personal RePEc Archive

Determinants of course completions in vocational education and training:

Evidence from Australia

Fieger, Peter

University of New England

15 June 2015

Online at https://mpra.ub.uni-muenchen.de/68244/

MPRA Paper No. 68244, posted 08 Dec 2015 09:24 UTC

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Abstract

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Table 1 Benefit to completion for several outcomes

Training outcome Benefit to Completion

Employment after training 16 %

Full-time salary -2 %

Occupational status 4 %

Further study 125 %

Improved employment conditions 25 %

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Probability of completing versus probability of intention to complete

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Figure 1 Probability of completing v probability of intention to complete

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Figure 2 Probability of completing v probability of intention to complete, part-time students only

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Table 4 Impact of intention to complete and pay-offs on completion (part-time students)

Coefficient Std error Beta t Sig

Reduced model

Prob. intention to complete 0.53 <0.01 0.51 358.8 <0.01

Employment

Payoff

-0.19 <0.01 -0.25 -128.6 <0.01

FT salary 0.49 <0.01 0.29 145.9 <0.01

Occupational status -0.13 <0.01 -0.08 -42.1 <0.01

Further study -0.05 <0.01 -0.19 -146.3 <0.01

Improved empl. condition 0.32 <0.01 0.34 163.6 <0.01

Constant -0.31 <0.01 -116.2 <0.01

R-squared (adj) = 0.59 F = 67,153

Full model

Prob. intention to complete 0.52 <0.01 0.50 356.9 <0.01

Employment

Payoff

-0.19 <0.01 -0.26 -132.9 <0.01

FT salary 0.50 <0.01 0.29 147.1 <0.01

Occupational status -0.14 <0.01 -0.09 -44.6 <0.01

Further study -0.05 <0.01 -0.19 -145.1 <0.01

Improved empl. condition 0.32 <0.01 0.34 165.7 <0.01

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Satis. -0.02 <0.01 -0.09 -47.4 <0.01

Assessment 0.01 <0.01 -0.01 -3.2 <0.01

General 0.02 <0.01 0.09 54.7 <0.01

Constant -0.27 <0.01 -92.4 <0.01

R-squared (adj) = 0.6 F = 46,017

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Table 5 Impact of payoffs and satisfaction on completion deficit (part-time students)

Coefficient Std error Beta t Sig

Reduced model

Employment

Payoff

0.20 <0.01 0.33 130.2 <0.01

FT salary -0.56 <0.01 -0.40 -151.9 <0.01

Occupational status 0.15 <0.01 0.12 46.1 <0.01

Further study 0.05 <0.01 0.23 131.7 <0.01

Improved empl. condition -0.37 <0.01 -0.47 -184.2 <0.01

Constant 1.17 <0.01 423.6 <0.01

R-squared (adj) = 0.289 F = 22,493

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0.21 <0.01 0.33 134.3 <0.01

FT salary -0.56 <0.01 -0.40 -153.6 <0.01

Occupational status 0.16 <0.01 0.13 50.0 <0.01

Further study 0.05 <0.01 0.22 130.0 <0.01

Improved empl. condition -0.36 <0.01 -0.46 -185.2 <0.01

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General -0.02 <0.01 -0.14 -64.7 <0.01

Constant 1.12 <0.01 367.0 <0.01

R-squared (adj) = 0.304 F = 15,071

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Table 6 Impact of intention to complete and pay-offs on completion (full-time students)

Coefficient Std error Beta t Sig

Reduced model

Prob. intention to complete 0.37 0.01 0.48 259.8 <0.01

Employment

Payoff

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FT salary 0.05 <0.01 0.25 104.5 <0.01

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Further study -0.01 <0.01 -0.16 -92.6 <0.01

Improve empl. condition 0.03 <0.01 0.22 99.0 <0.01

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R-squared (adj) = 0.456 F = 29,614

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Prob. intention to complete 0.37 0.01 0.48 260.5 <0.01

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Occupational status -0.02 <0.01 -0.13 -53.8 <0.01

Further study 0.00 <0.01 -0.16 -91.9 <0.01

Improved empl. condition 0.03 <0.01 0.22 98.2 <0.01

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General 0.01 <0.01 0.05 23.8 <0.01

Constant 0.59 0.01 468.4 <0.01

R-squared (adj) = 0.458 F = 19,880

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Table 7 Impact of payoffs and satisfaction on completion deficit (full-time students)

Coefficient Std error Beta t Sig

Reduced model

Employment

Payoff

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FT salary -0.04 <0.01 -0.20 -66.1 <0.01

Occupational status 0.05 <0.01 0.28 90.0 <0.01

Further study 0.01 <0.01 0.18 81.9 <0.01

Improved empl. condition 0.02 <0.01 0.18 66.5 <0.01

Constant -0.05 <0.01 -101.7 <0.01

R-squared (adj) = 0.086 F = 3,993

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Employment

Payoff

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FT salary -0.04 <0.01 -0.21 -66.8 <0.01

Occupational status 0.05 <0.01 0.28 91.4 <0.01

Further study 0.01 <0.01 0.18 81.2 <0.01

Improved empl. condition 0.02 <0.01 0.18 67.4 <0.01

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Assessment 0.00 <0.01 0.03 10.4 <0.01

General <-0.01 <0.01 -0.07 -26.8 <0.01

Constant -0.05 <0.01 -91.1 <0.01

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Appendix

Table 2 Logistic regression parameters for intention to complete

Probability of intending to complete

B S.E. Wald Sig. Exp(B)

Prior education <Y12 & Certificate I/II 0.01 0.04 0.0 0.85 1.01

Prior education Certificate III/IV -0.13 0.04 11.9 <.01 0.88

Prior education Diploma and above -0.21 0.04 29.9 <.01 0.81

Prior education Y12 0.00

Field of education Business -0.02 0.04 0.3 0.58 0.98

Field of education Community services 0.39 0.05 69.0 <.01 1.48

Field of education Other -1.09 0.05 568.0 <.01 0.34

Field of education Other services -0.72 0.04 339.1 <.01 0.49

Field of education Technical 0.00

Sex Female 0.32 0.03 130.1 <.01 1.38

Sex Male 0.00

Age group 25–34 years 0.34 0.04 64.3 <.01 1.40

Age group 35–45 years -0.05 0.04 1.8 0.18 0.95

Age group <25 years 0.60 0.04 237.9 <.01 1.82

Age group >45 years 0.00

Qualification level Certificate I/II -0.73 0.07 109.6 <.01 0.48

Qualification level Certificate III/IV -0.16 0.06 6.1 0.01 0.85

Qualification level Diploma -0.52 0.07 59.7 <.01 0.59

Qualification level Other 0.00

Study status Full-time 1.12 0.03 1,368.1 <.01 3.05

Study status Part-time 0.00

Employment status Employed 0.00 0.03 0.0 0.94 1.00

Employment status Not employed 0.00

Remoteness City 0.25 0.09 7.2 <.01 1.28

Remoteness Regional 0.27 0.09 8.6 <.01 1.31

Remoteness Remote 0.00

SEIFA Least disadvantaged 0.06 0.04 2.0 0.16 1.06

SEIFA Somewhat disadvantaged 0.15 0.04 12.7 <.01 1.17

SEIFA Most disadvantaged -0.14 0.05 9.0 <.01 0.87

SEIFA Little disadvantaged -0.38 0.04 87.4 <.01 0.69

SEIFA Very disadvantaged 0.00

Reason for study Employment related 0.47 0.03 250.3 <.01 1.60

Reason for study Further study related -0.28 0.05 35.9 <.01 0.75

Reason for study Personal 0.00

Constant 2.10 0.12 282.7 <.01

N = 6971 Chi-Squared = 5864.7 R-squared(pseudo) = 0.593

(25)

Table 3 Logistic regression parameters for actual completion

Probability of actual completion

B S.E. Wald Sig. Exp(B)

Prior education <Y12 & Certificate I/II 0.12 0.02 25.90 <.01 1.13

Prior education Certificate III/IV -0.05 0.02 4.24 0.04 0.95

Prior education Diploma & above -0.29 0.03 133.32 <.0001 0.74

Prior education Y12 0.00

Field of education Business 0.35 0.03 165.73 <.01 1.42

Field of education Community services 0.55 0.03 410.76 <.01 1.74

Field of education Other -0.11 0.05 4.61 0.03 0.89

Field of education Other services -0.83 0.03 677.87 <.01 0.43

Field of education Technical 0.00

Sex Female 0.14 0.02 86.81 <.01 1.15

Sex Male 0.00

Age group 25–34 years -0.04 0.03 2.36 0.12 0.96

Age group 35–45 years -0.07 0.03 8.94 0.00 0.93

Age group <25 years 0.53 0.02 494.38 <.01 1.70

Age group >45 years 0.00

Qualification level Cert I/II 1.07 0.09 128.18 <.01 2.92

Qualification level Certificate III/IV 1.75 0.09 352.30 <.01 5.77

Qualification level Diploma 2.32 0.10 579.65 <.01 10.14

Qualification level Other 0.00

Study status Full-time 2.71 0.03 7,725.67 <.01 15.07

Study status Part-time 0.00

Employment status Employed 0.10 0.02 35.49 <.01 1.10

Employment status Not employed 0.00

Remoteness City 0.19 0.02 62.75 <.01 1.21

Remoteness Regional 0.03 0.02 1.20 0.27 1.03

Remoteness Remote 0.00

SEIFA Least disadvantaged 0.01 0.03 0.13 0.71 1.01

SEIFA Somewhat disadvantaged 0.00 0.03 0.00 0.98 1.00

SEIFA Most disadvantaged 0.01 0.03 0.20 0.66 1.01

SEIFA Little disadvantaged -0.02 0.02 0.89 0.35 0.98

SEIFA Very disadvantaged 0.00

Reason for study Employment 0.08 0.03 6.95 0.01 1.08

Reason for study Further 0.02 0.05 0.10 0.75 1.02

Reason for study Personal 0.00

Constant 0.05 0.10 0.30 0.58

N = 67,502 Chi-Squared = 55,773.4 R-squared(pseudo) = 0.761

(26)

Figure 4 CHAID diagram, completion deficit, part-time students

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