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Evaluation of the Australian Wage Subsidy Special Youth ...

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178<br />

Table 5.5a draws a distinction between <strong>the</strong> sources <strong>of</strong> sample reduction amongst those<br />

dropped for <strong>the</strong> analysis –<strong>the</strong> 140 cases dropped for having missing information on<br />

variables used in analysis and <strong>the</strong> 264 cases dropped for o<strong>the</strong>r analytical reasons. 126 Table<br />

5.5a shows <strong>the</strong> means, standard deviation, absolute difference and t test <strong>of</strong> <strong>the</strong><br />

significance <strong>of</strong> <strong>the</strong> difference from zero, using <strong>the</strong> same layout as for Table 5.5. The first<br />

two columns <strong>of</strong> Table 5.5a show <strong>the</strong> mean and standard deviation in <strong>the</strong> final sample, to<br />

which <strong>the</strong> two sources <strong>of</strong> sample reduction are compared in <strong>the</strong> t-test <strong>of</strong> <strong>the</strong> significance<br />

<strong>of</strong> <strong>the</strong> difference from zero. The next four columns make up <strong>the</strong> first panel <strong>of</strong> <strong>the</strong> table<br />

which relates to <strong>the</strong> sample lost due to missing information, and <strong>the</strong>y show <strong>the</strong> mean,<br />

standard deviation, absolute difference in <strong>the</strong> means and <strong>the</strong> t statistic, in a similar fashion<br />

to <strong>the</strong> former tables. The second panel gives <strong>the</strong> statistics for those lost though fur<strong>the</strong>r<br />

analytical selection. Only differences that are statistically significant at normally adopted<br />

confidence levels are discussed.<br />

Amongst those cases dropped because certain variables used in analysis are missing<br />

information, it is first noticeable that case-wise deletion in this manner leads to <strong>the</strong> loss <strong>of</strong><br />

information from <strong>the</strong> whole case. For example ‘fa<strong>the</strong>r post-school qualification’ is<br />

present for 79 <strong>of</strong> <strong>the</strong> 140 cases dropped, but while <strong>the</strong> missing information for ‘fa<strong>the</strong>r<br />

post-school qualification’ was <strong>the</strong> reason for <strong>the</strong> 61 cases being dropped, <strong>the</strong>se extra 79<br />

cases are dropped due to o<strong>the</strong>r variables having missing information. It is <strong>the</strong>n very much<br />

an ‘all or nothing strategy’, where more information is lost than is actually missing.<br />

Column 5 <strong>of</strong> Table 5.5a indicates <strong>the</strong> number <strong>of</strong> cases that were missing information, at<br />

most 140. It can be seen from Table 5.5a that amongst those where all 140 cases had<br />

missing information for <strong>the</strong> variable in question, that for some <strong>of</strong> <strong>the</strong> variables <strong>the</strong><br />

missing had a different pr<strong>of</strong>ile to those remaining in <strong>the</strong> final sample. As a result, those<br />

dropped for case-wise deletion to treat missing information had undertaken less SYETP<br />

treatment, more <strong>of</strong>ten had children, less <strong>of</strong>ten had highest qualification <strong>of</strong> year 12 or year<br />

11, were much less <strong>of</strong>ten in employment in 1986, had more health problems affecting<br />

work, and came less <strong>of</strong>ten from Victoria and Queensland and more <strong>of</strong>ten from Western<br />

126 There are 404 cases dropped for analytical reasons, <strong>of</strong> which <strong>the</strong>re are 140 cases where at least one <strong>of</strong><br />

<strong>the</strong> variables used in <strong>the</strong> analysis is missing for a case, <strong>the</strong>n a fur<strong>the</strong>r 264 cases are dropped for o<strong>the</strong>r<br />

analytical reasons.

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