outdoor lighting and crime, part 1 - Astronomical Society of Victoria
outdoor lighting and crime, part 1 - Astronomical Society of Victoria
outdoor lighting and crime, part 1 - Astronomical Society of Victoria
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There were five <strong>of</strong> these pairs also, making up the required minimum. They are shown in<br />
Table 1, listed in ascending order <strong>of</strong> total <strong>crime</strong> rate for the first county <strong>of</strong> each pair, with the<br />
contiguous pairs identified by italics.<br />
The idea is to consider each pair as a quasi-experiment in which a treatment is applied<br />
to one <strong>of</strong> the pair at the end <strong>of</strong> 1999. Here the first member in each case was selected<br />
as the experimental or treated county <strong>and</strong> the other is the control. The outcome <strong>of</strong> this<br />
demonstration is not dependent on this selection. Control counties need to be a good match<br />
with experimental counties, which is why they were chosen to be adjacent or nearby <strong>and</strong><br />
to have comparable <strong>crime</strong> rates before the treatment. The <strong>crime</strong> figures after the treatment<br />
are the actual values for 2000. Of course, there was no deliberate treatment with <strong>lighting</strong> or<br />
anything else, ie null treatment.<br />
For each <strong>of</strong> the ten pairs, the relative change in <strong>crime</strong> from 1999 to 2000 was calculated<br />
as the first county’s ratio <strong>of</strong> change divided by the second county’s ratio <strong>of</strong> change. 10 These<br />
values are given in Table 1. The probability <strong>of</strong> each result arising by chance was determined<br />
with a χ 2 test. The contiguous pairs returned small changes that could be expected as<br />
chance results. However, four <strong>of</strong> the remaining five pairs exhibited unexpectedly substantial<br />
changes, some positive <strong>and</strong> some negative. No deliberate interventions (treatment) or<br />
other reasons for this are known, <strong>and</strong> the differences have arisen through interference from<br />
real-world conditions that are unknown here, a<strong>part</strong> from the one-county separation.<br />
TABLE 1. Crime change in pairs <strong>of</strong> New Jersey Counties<br />
County Popula- Crime Crime Crime Relative Probability<br />
Pairs tion Rate 1999 2000 Change in χ2 (1 df)<br />
/100 000 Crime, %<br />
Sussex<br />
Hunterdon<br />
146671<br />
125135<br />
522.9<br />
576.2<br />
767<br />
721<br />
947<br />
597<br />
49.1 29.55 p