| Completions
Undergraduate academic outcomes
for 1992 commencing students
August 1999
Occasional Paper Series
99G
Higher Education Division
Department of Education, Training and Youth Affairs
|
Appendix B Modelling of
data
Logistic regression analysis requires that
where an independent variable has more than two values a control group is required. In
practice this means that one category of a variable must be excluded from the regression
analysis. The results for the remaining variable values are assessed against this control
value. For example for the mode of study, studying externally was the control group. The
control groups for other variables are at Appendix B. A control group was not
necessary in the case of age because age is used as a continuous variable.
The pattern of completion for men and women is very different. On
this basis they are treated as two separate groups and separate logistic models were used
to estimate the probability of completion. This also avoids the assumption that all
variables have the same impact by gender.
A priori, individuals who go to university straight from
secondary school have different characteristics than other people. On this basis students
with a Tertiary Entrance Rank (TER) and without a TER were again treated as two different
populations. This also avoids the problem associated with missing values in a logistic
regression.
It is appropriate to use logistic regression to analyse the
dependent variable when the dependent variable can be characterised as a dichotomous
variable. Specifically it is assumed that
 (1)
where
y is the dependent variable; and
xi are the independent variables.
In addition to the full models, reduced models were derived using
a likelihood ratio elimination test on sets of characteristics. The likelihood ratio test
eliminated one characteristic at a time followed by an estimation of the model by
observing the change in the log likelihood. The resulting models were parsimonious
versions of the full models.
Crude completion rates were calculated using a cross-tabular
analysis. The results are displayed in Tables B1a and B1b. The same population was used
for the cross-tabular analysis as for the logistic regression analysis. The models were
simplified where appropriate. The adjusted completion rates are calculated from the models
as in B2a and B2b. In order to compare results across gender the weights of the average
person with TER and without TER are used to determine the probabilities of completion.
Table B1a Completion rates for certain
characteristics (TER score)
| |
Females |
Males |
| Variables |
Crude |
Adjusted |
Crude |
Adjusted |
| Student cohort population |
71.9 |
71.9 |
64.5 |
66.4 |
| Language background |
|
|
|
|
| Non-English speaking background |
76.4 |
76.2 |
69.5 |
70.8 |
| English speaking background |
71.2 |
71.1 |
63.6 |
65.6 |
| Aboriginal or Torres
Strait Islander |
|
|
|
|
| ATSI background |
45.7 |
49.4 |
30.8 |
34.1 |
| Non-ATSI background |
71.9 |
72.0 |
64.5 |
66.5 |
| Mode of study |
|
|
|
|
| Full-time |
73.4 |
73.2 |
66.0 |
67.6 |
| Part-time |
45.7 |
47.9 |
40.6 |
43.7 |
| External |
19.9 |
26.6 |
19.9 |
32.4 |
| Field of study |
|
|
|
|
| Agriculture, Animal husbandry |
71.1 |
75.3 |
62.4 |
71.8 |
| Architecture, Building |
78.6 |
73.9 |
68.5 |
67.1 |
| Arts, Humanities and Social
sciences |
66.9 |
68.1 |
59.2 |
63.3 |
| Business, Admin., Economics |
73.6 |
73.4 |
68.4 |
68.6 |
| Education |
72.4 |
76.0 |
60.4 |
70.0 |
| Engineering, Surveying |
73.5 |
68.0 |
64.2 |
60.0 |
| Health (except Nursing) |
87.3 |
82.2 |
87.9 |
76.0 |
| HealthNursing |
75.7 |
82.0 |
61.4 |
75.6 |
| Law, Legal studies |
80.6 |
72.8 |
80.4 |
67.0 |
| Science |
70.0 |
68.9 |
59.9 |
62.9 |
| Veterinary science |
90.5 |
84.0 |
88.6 |
81.0 |
| Region |
|
|
|
|
| Urban |
72.2 |
71.7 |
65.1 |
66.4 |
| Rural |
71.3 |
73.0 |
62.1 |
66.4 |
| Isolated |
64.7 |
66.7 |
58.6 |
66.4 |
| Socio-economic
background |
|
|
|
|
| Most disadvantaged |
70.9 |
71.9 |
61.6 |
66.4 |
| More disadvantaged |
71.4 |
71.9 |
62.3 |
66.4 |
| More advantaged |
71.3 |
71.9 |
65.9 |
66.4 |
| Most advantaged |
73.9 |
71.9 |
67.9 |
66.4 |
| Age |
|
|
|
|
| 17 |
74.5 |
73.3 |
69.5 |
69.8 |
| 18 |
72.6 |
71.9 |
64.3 |
66.4 |
| 19 |
67.5 |
70.6 |
57.3 |
63.6 |
| 2024 |
59.3 |
67.4 |
50.2 |
58.5 |
| TER |
|
|
|
|
| 1st decile |
85.8 |
84.6 |
88.6 |
87.6 |
| 2nd decile |
80.4 |
80.4 |
80.6 |
80.7 |
| 3rd decile |
78.6 |
78.6 |
76.5 |
76.6 |
| 4th decile |
75.5 |
76.0 |
70.0 |
70.1 |
| 5th decile |
72.0 |
72.8 |
65.3 |
66.0 |
| 6th decile |
69.4 |
69.4 |
59.7 |
60.2 |
| 7th decile |
67.5 |
66.6 |
57.5 |
58.6 |
| 8th decile |
64.0 |
63.2 |
52.9 |
53.6 |
| 9th decile |
64.1 |
62.3 |
47.5 |
48.4 |
| 10th decile |
61.4 |
57.2 |
46.0 |
47.1 |
Table B1b Completion rates for certain
characteristics (no TER score)
| |
Females |
Males |
| Variables |
Crude |
Adjusted |
Crude |
Adjusted |
| Student cohort population |
64.2 |
60.6 |
55.5 |
58.3 |
| Language background |
|
|
|
|
| Non-English speaking background |
66.2 |
62.9 |
56.3 |
58.3 |
| English speaking background |
63.9 |
60.3 |
55.4 |
58.3 |
Aboriginal or Torres
Strait
Islander |
|
|
|
|
| ATSI background |
38.4 |
35.9 |
25.1 |
25.9 |
| Non-ATSI background |
64.7 |
61.0 |
56.1 |
58.9 |
| Mode of study |
|
|
|
|
| Full-time |
72.3 |
69.5 |
64.7 |
68.6 |
| Part-time |
56.4 |
50.5 |
45.8 |
47.5 |
| External |
48.6 |
40.4 |
32.9 |
34.8 |
| Field of study |
|
|
|
|
| Agriculture, Animal husbandry |
55.7 |
55.2 |
49.7 |
53.7 |
| Architecture, Building |
70.4 |
61.4 |
58.9 |
56.0 |
| Arts, humanities and social
sciences |
54.7 |
52.2 |
53.3 |
53.0 |
| Business, Admin., Economics |
53.8 |
52.3 |
50.0 |
51.9 |
| Education |
73.8 |
74.7 |
68.5 |
70.7 |
| Engineering, surveying |
63.9 |
52.4 |
54.7 |
50.8 |
| Health (except Nursing) |
76.5 |
72.0 |
74.3 |
71.6 |
| HealthNursing |
75.1 |
75.2 |
66.4 |
66.9 |
| Law, Legal studies |
65.3 |
60.9 |
61.1 |
62.7 |
| Science |
57.1 |
51.1 |
51.4 |
48.2 |
| Veterinary science |
95.7 |
93.4 |
94.4 |
92.1 |
| Region |
|
|
|
|
| Urban |
64.7 |
60.2 |
56.7 |
58.3 |
| Rural |
64.0 |
62.6 |
52.8 |
58.3 |
| Isolated |
51.3 |
53.0 |
43.7 |
58.3 |
| Socio-economic background |
|
|
|
|
| Most disadvantaged |
61.9 |
58.7 |
52.6 |
56.8 |
| More disadvantaged |
64.0 |
60.3 |
53.5 |
57.1 |
| More advantaged |
64.1 |
60.5 |
56.7 |
59.1 |
| Most advantaged |
66.6 |
62.8 |
59.3 |
60.1 |
| Age |
|
|
|
|
| 17 |
72.6 |
66.1 |
65.1 |
58.3 |
| 18 |
72.1 |
65.2 |
63.0 |
58.3 |
| 19 |
70.6 |
64.4 |
63.1 |
58.3 |
| 2024 |
65.5 |
62.4 |
56.7 |
58.3 |
| 2529 |
56.6 |
60.3 |
49.8 |
58.3 |
| 3039 |
58.3 |
59.3 |
48.4 |
58.3 |
| 4049 |
60.1 |
60.4 |
46.3 |
58.3 |
| 50 and over |
52.6 |
61.5 |
43.3 |
58.3 |
| Basis for admission |
|
|
|
|
| Higher education experience |
68.0 |
66.2 |
60.7 |
63.6 |
| TAFE experience |
53.1 |
53.7 |
49.5 |
58.2 |
| Finished secondary education |
68.5 |
58.0 |
59.5 |
57.0 |
| Special entry |
54.7 |
53.4 |
45.9 |
49.4 |
| Examination |
65.4 |
58.1 |
56.9 |
52.3 |
Professional qualification/
employment exp |
67.0 |
66.6 |
48.1 |
62.4 |
| Other basis |
60.1 |
57.3 |
48.8 |
55.2 |
Table B2a Binomial logit estimates of
completion (TER)
| Regressors |
Females |
Males |
| Constant |
2.385 |
(4.41) |
10.682 |
(7.31) |
| Language background |
|
|
|
|
| Non-English speaking background |
0.262 |
(6.02) |
0.241 |
(5.42) |
| Aboriginal or Torres
Strait Islander |
|
|
|
|
| ATSI background |
-0.966 |
(4.10) |
-1.344 |
(3.62) |
| Mode of study |
|
|
|
|
| Full-time |
2.019 |
(10.87) |
1.473 |
(8.04) |
| Part-time |
0.933 |
(4.87) |
0.483 |
(2.52) |
| Field of study |
|
|
|
|
| Agriculture, Animal husbandry |
0.158 |
(1.17) |
0.149 |
(1.44) |
| Architecture, Building |
0.089 |
(0.69) |
-0.073 |
(0.70) |
| Arts, Human. and Social
sciences |
-0.198 |
(4.66) |
-0.237 |
(4.73) |
| Education |
0.201 |
(3.77) |
0.064 |
(0.91) |
| Engineering, Surveying |
-0.201 |
(2.22) |
-0.380 |
(7.92) |
| Health (except Nursing) |
0.574 |
(6.31) |
0.367 |
(3.07) |
| HealthNursing |
0.564 |
(8.98) |
0.349 |
(3.09) |
| Law, Legal studies |
0.029 |
(0.22) |
-0.075 |
(0.55) |
| Science |
-0.160 |
(3.36) |
-0.255 |
(5.67) |
| Veterinary science |
0.702 |
(1.85) |
0.668 |
(1.35) |
| Region |
|
|
|
|
| Rural |
0.061 |
(1.69) |
|
|
| Isolated |
-0.236 |
(2.30) |
|
|
| Socio-economic
background |
|
|
|
|
| Most disadvantaged |
|
|
|
|
| More disadvantaged |
|
|
|
|
| More advantaged |
|
|
|
|
| Age |
|
|
|
|
| Age |
-0.242 |
(5.01) |
-1.111 |
(6.33) |
| Age squared |
0.006 |
(4.37) |
0.038 |
(5.67) |
| Age cubed |
-0.00004 |
(3.35) |
-0.0004 |
(5.04) |
| 2nd
decile |
-0.293 |
(3.90) |
-0.528 |
(5.85) |
| 3rd
decile |
-0.401 |
(5.35) |
-0.774 |
(8.68) |
| 4th
decile |
-0.553 |
(7.50) |
-1.109 |
(12.75) |
| 5th
decile |
-0.718 |
(9.83) |
-1.294 |
(14.93) |
| 6th
decile |
-0.887 |
(12.24) |
-1.544 |
(17.94) |
| 7th
decile |
-1.012 |
(14.01) |
-1.614 |
(18.77) |
| 8th
decile |
-1.164 |
(16.16) |
-1.815 |
(21.18) |
| 9th
decile |
-1.204 |
(16.52) |
-2.022 |
(23.38) |
| 10th
decile |
-1.413 |
(19.04) |
-2.075 |
(23.60) |
Table B2b Binomial logit estimates of
completion (No TER)
| Regressors |
Females |
Males |
| Constant |
0.725 |
(3.36) |
-0.913 |
(15.46) |
| Language Background |
|
|
|
|
| Non-English speaking |
0.111 |
(2.92) |
|
|
| Aboriginal or Torres
Strait Islander |
|
|
|
|
| ATSI background |
-1.031 |
(12.60) |
-1.412 |
(12.89) |
| Mode of study |
|
|
|
|
| Full-time |
1.214 |
(33.76) |
1.410 |
(36.46) |
| Part-time |
0.407 |
(11.61) |
0.527 |
(12.32) |
| Field of study |
|
|
|
|
| Agriculture, Animal husbandry |
0.117 |
(1.13) |
0.074 |
(0.95) |
| Architecture, Building |
0.370 |
(3.51) |
0.164 |
(2.14) |
| Arts, Human. And Social Sci. |
-0.003 |
(0.08) |
0.046 |
(1.16) |
| Education |
0.991 |
(24.03) |
0.806 |
(15.33) |
| Engineering, Surveying |
0.005 |
(0.05) |
-0.046 |
(0.96) |
| Health (except Nursing) |
0.853 |
(13.96) |
0.849 |
(10.53) |
| HealthNursing |
1.015 |
(22.80) |
0.630 |
(8.40) |
| Law, Legal studies |
0.352 |
(4.58) |
0.442 |
(6.78) |
| Science |
-0.049 |
(1.03) |
-0.148 |
(3.75) |
| Veterinary science |
2.560 |
(5.52) |
2.368 |
(4.58) |
| Rural |
0.099 |
(8.55) |
|
|
| Isolated |
-0.297 |
(2.35) |
|
|
| Socio-economic
background |
|
|
|
|
| Most disadvantaged |
-0.174 |
(5.09) |
-0.137 |
(3.75) |
| More disadvantaged |
-0.106 |
(3.07) |
-0.123 |
(3.37) |
| More advantaged |
-0.101 |
(3.13) |
-0.043 |
(1.17) |
| Age |
|
|
|
|
| Age |
-0.114 |
(6.83) |
|
|
| Age squared |
0.003 |
(6.79) |
|
|
| Age cubed |
-0.00002 |
(6.51) |
|
|
| Basis for admission |
|
|
|
|
| Higher education experience |
0.376 |
(8.55) |
0.350 |
(7.73) |
| TAFE experience |
-0.148 |
(2.35) |
0.123 |
(1.94) |
| Finished secondary education |
0.027 |
(0.56) |
0.074 |
(1.51) |
| Special entry |
-0.160 |
(3.36) |
-0.232 |
(4.58) |
| Examination |
0.033 |
(0.47) |
-0.114 |
(1.39) |
| Prof quals/employment exp |
0.396 |
(5.81) |
0.297 |
(3.21) |
Table B3 Weights for TER and no TER
score
| Characteristics of
average person |
TER |
No
TER score |
| Constant |
1.0000 |
1.0000 |
| Language background |
|
|
| Non-English speaking background |
0.1436 |
0.1139 |
| Aboriginal or Torres
Strait Islander |
|
|
| ATSI background |
0.0025 |
0.0186 |
| Mode of study |
|
|
| Full-time |
0.9487 |
0.5954 |
| Part-time |
0.0427 |
0.2342 |
| Field of study |
|
|
| Agriculture, Animal husbandry |
0.0162 |
0.0198 |
| Architecture, Building |
0.0192 |
0.0208 |
| Arts, Humanities and Social
sciences |
0.2383 |
0.2572 |
| Education |
0.0971 |
0.1609 |
| Engineering, Surveying |
0.1013 |
0.0499 |
| Health (except Nursing) |
0.0454 |
0.0473 |
| HealthNursing |
0.0594 |
0.1135 |
| Law, Legal studies |
0.0184 |
0.0344 |
| Science |
0.2043 |
0.1277 |
| Veterinary science |
0.0026 |
0.0028 |
| Region |
|
|
| Rural |
0.1955 |
0.2282 |
| Isolated |
0.0162 |
0.0275 |
| Socio-economic
background |
|
|
| Most disadvantaged |
0.2500 |
0.2500 |
| More disadvantaged |
0.2500 |
0.2500 |
| More advantaged |
0.2500 |
0.2500 |
| Age |
|
|
| Age |
18 |
26 |
| Age squared |
324 |
676 |
| Age cubed |
5832 |
17576 |
| TER |
|
|
| 2nd decile |
0.1000 |
|
| 3rd decile |
0.1000 |
|
| 4th decile |
0.1000 |
|
| 5th decile |
0.1001 |
|
| 6th decile |
0.1000 |
|
| 7th decile |
0.1000 |
|
| 8th decile |
0.1001 |
|
| 9th decile |
0.1000 |
|
| 10th decile |
0.0998 |
|
| Basis for admission |
|
|
| Higher education experience |
|
0.3957 |
| TAFE experience |
|
0.0571 |
| Finished secondary education |
|
0.2066 |
| Special entry |
|
0.1778 |
| Examination |
|
0.0357 |
| Professional qualif./employ.
exp |
|
0.0392 |
|