The performance of individual rugby players can be quantified using multivariate analysis and modified control chart methodology. Using factor analysis, multivariate data are reduced to five orthogonal factors (key performance indicators). These factors are reduced to a single measure of performance by modifying control chart ideology. By comparing the observed peformances with 'unattainable perfection' rather than the average, a statistic that is suitable for monitoring the performance of individual rugby players with control charts is obtained for use by coaches and selectors.

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The standard measures of relative socio-economic deprivation within New Zealand are the NZDEP studies and the NZ IMD. Although both sets of studies are extremely rigorous, high quality research outputs they are only able to provide a snapshot of the national distribution of relative socio-economic deprivation at fixed points in time. The inability to express deprivation levels as an extended and current time series means that not only are policy analysts and researchers working with outdated information, but also that it is often unfeasible to associate changes in deprivation levels to specific events or policy implementations. The Dynamic Deprivation Index (DDI) assigns a deprivation score and deprivation index to each area unit in New Zealand on a monthly basis. In this paper we look to describe the methodology behind the construction of the DDI and to validate the results therein. We argue that if public bodies were to make the data they hold more easily accessible, then there is no reason why New Zealand should not be able to benefit from a measure of socio-economic deprivation that combines the sophistication of the NZDEP studies or IMD with the contemporaneousness of the DDI. ARTICLE HISTORY

Within NZ gambling and its associated harms are well-researched topics. However, most studies to date have relied upon the use of survey methodology or have focused on individual regions. In this paper we distribute gaming machine proceeds (GMP) from gaming venues to the surrounding localities in order to derive estimates of GMP per capita. It is hoped these estimates will enable the trusts who operate the electronic gaming machines (EGMs), and who are responsible for reinvesting a proportion of proceeds back into the community, to more accurately target funding towards the areas most affected by the harms of EGM gambling. Our estimates of GMP per capita also provide a means of assessing the criterion validity of the recently developed Dynamic Deprivation Index. Furthermore, although it is well known that Māori and Pacific Island populations have a higher incidence of problem gambling, our results imply that when controlling for socio-economic deprivation and the geographic location of EGMs the associations between ethnicity and GMP per capita are weak. From a policy perspective, this suggests the most effective way of limiting the harms of EGM gambling on these populations is to place tighter controls on the number of venues within their communities.