| Literature DB >> 12375385 |
Helen Breen1, Nerilee Hing, Paul Weeks.
Abstract
This research provided background for surveys and interviews in later stages of a 3 part project. It aimed to identify, from secondary research, sociodemographic characteristics which tend to support registered clubs and their machine gaming activities in the Sydney Statistical Division. Using multiple methods including Pearson's Product Moment correlation, Principal Components factor analysis, and stepwise regression, the study profiled Sydney populations which spend highly on gaming machines. The most important sociodemographic predictors of Sydney statistical local areas where per capita gaming machine expenditure is high are large proportions of the adult resident population who were born in Malta, Greece, Lebanon, China, Italy, Vietnam, Yugoslavia, India or the Philippines; have no vocational or tertiary qualifications; or are unemployed.Mesh:
Year: 2002 PMID: 12375385 DOI: 10.1023/a:1016899322780
Source DB: PubMed Journal: J Gambl Stud ISSN: 1050-5350