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Record W2063360527 · doi:10.1080/01490400590912042

Inter- and Intra-Gender Similarities and Differences in Motivations for Casino Gambling

2005· article· en· W2063360527 on OpenAlex
Gordon J. Walker, T. D. Hinch, A. J. Weighill

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueLeisure Sciences · 2005
Typearticle
Languageen
FieldPsychology
TopicGambling Behavior and Treatments
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPsychologyRecreationSocial psychologyMetropolitan areaPopulationDemographySociologyGeographyPolitical science

Abstract

fetched live from OpenAlex

Abstract The two objectives of this study were to examine if motivations for casino gambling vary by gender and, based on motivations for casino gambling, to ascertain different types of male and female gamblers. To accomplish these objectives, five casino motivation scales were developed. Nine hundred male and female casino patrons living in two major Canadian metropolitan areas completed a telephone questionnaire. Male study participants rated risk-taking/gambling as a rush and learning/cognitive self-classification as being more important than did female participants. Two types of male casino gamblers existed: men who gave primacy to risk-taking/gambling as a rush and emotional self-classification, and men who gave primacy to communing. Three types of female casino gamblers existed: women who gave primacy to emotional self-classification and escaping everyday problems, women who gave primacy to communing and emotional self-classification, and women who gave primacy to communing alone. Gender theory was used to explain these findings, and study limitations and future research recommendations also were discussed. Keywords: casino gamblingcluster analysisgendermasculinitymotivation This research was supported by a grant from the Alberta Gaming Research Institute. The authors would like to thank the University of Alberta Population Research Lab staff for their assistance collecting the data. Correspondence concerning this article should be addressed to Gordon J. Walker, E-424 Van Vliet Centre, Faculty of Physical Education and Recreation, University of Alberta, Edmonton, Alberta, Canada, T6G 2H9. E-mail: gordon.walker@ualberta.ca Notes 1For example, a search of Leisure Sciences (using the PsycINFO database and the keyword "gambling") did not uncover any papers published on this topic between 1985 and September 2003. Note: S-C stands for self-classification. 2The decision to conduct the study in two western Canadian metropolitan areas was based on (a) the growth of gambling and casino gambling in Canada, (b) the location of the study researchers, and (c) the provision of research funding by a provincial agency. 3Although an attempt was made to develop and test items that would measure Cotte's (1997) self-definition motivation, it was unsuccessful due in part to the number of different roles casino gamblers can select from (e.g., rebels, casino pros, variety seekers). 4For comparative purposes, the median age in the province where the study was conducted is 34 years for males versus 36 years for females, with 15% of males and 22% of females have completed community college or the equivalent, and 21% of males and 22% of females having attained a Bachelors degree or greater (Statistics Canada, 2003). 5For comparative purposes, in Ontario Wiebe, Single, and Falkowski-Ham (2001) found that people who gambled at in-province casino tables did so approximately 6.3 times per year while those who gambled at out-of-province casinos did so approximately 1.7 times per year. In contrast, Welte et al. (2002) found that U.S. casino gamblers averaged 11 visits per year, although this figure is nearly twice the average (5.7 visits) reported in another study (Profile of the American Casino Gambler: Harrah's Survey 2002) of American casino visitors. Note: Cog. S-C stands for cognitive self-classification. Only items having loadings ≥ |.55| on one factor and having loadings ≤ |.32| on the other factors are shown. * p < .0001. 6Because participants were selected based on gender as well as—in the case of 400 individuals—having visited a distant casino (i.e., greater than 80 kilometers), a MANOVA was first conducted on the five casino gambling motivation scales using gender, type of visits (i.e., only local casinos, only distant casinos, both), and their interaction. Because the interaction was not significant [Wilk's Λ = 0.99, F (10, 1734) = 1.19, p > .2902], only the effect of gender was subsequently examined. 7The cluster order is not important as the first cluster seed is simply a function of which observation is read first by the SAS FASTCLUS program (Hair & Black, 2000). Note: Scales have been standardized within-case. Motivations that have a mean with a superscript are significantly (p < .01) different than 0.00 for that cluster. 8The effectiveness of casino gambling as a long-term coping strategy remains open to debate however. A study by Potenza et al. (2001, p. 1504) has raised the possibility that women, once they begin gambling, may develop gambling problems at a more rapid rate than men.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.286

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.268
GPT teacher head0.424
Teacher spread0.156 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it