Date of Award
Frisch, G. R.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
The parallels between gambling and other addictive behaviours, such as alcohol abuse and alcohol dependence, suggest that theoretical and empirical work derived from the study of alcohol consumption may be useful in understanding aspects of gambling behaviour. One approach to understanding drinking behaviour in a population is the distribution of consumption model first proposed by S. Ledermann in 1956 and significantly extended by O.-J. Skog. This "distribution of consumption model" suggests that alcohol consumption in a population will be highly skewed to the right, i.e., toward higher consumption levels, be characterized by the lognormal distribution, and that the shape of this distribution is due to the multiplicative combination of contributing factors. Social interactions in the population are considered to be a primary contributing factor. The distribution of consumption model has been used to link increases in alcohol availability to increased average consumption, the increase in average consumption to increases in heavy consumption (as predicted by the distribution of consumption model), and increases in heavy consumption to increases in alcohol related problems. The present study has tested the applicability of the distribution of consumption model to the five year study of gambling in the City of Windsor, Ontario. Strong support has been found for the applicability of the distribution of consumption model to gambling consumption. The implications of the distribution of consumption model as it applies to gambling are discussed.Dept. of Psychology. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2000 .G68. Source: Dissertation Abstracts International, Volume: 62-10, Section: B, page: 4785. Adviser: G. R. Frisch. Thesis (Ph.D.)--University of Windsor (Canada), 2000.
Govoni, Richard Joseph., "Gambling behaviour and the distribution of alcohol consumption model." (2000). Electronic Theses and Dissertations. 2186.