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Obviously more research is needed in this area.
One recommendation for future research is to
measure the differences in competitive behaviour
among groups. It would also be beneficial to
measure gambling participation in college
athletics as well as NCAA-sponsored games in
which the athletes are participating. Another
area that requires further study is whether or
not athletes, after their eligibility expires,
gamble more because their need to compete is no
longer satisfied through athletic participation.
Comparing in-season and off-season gambling
habits to measure the effects of discretionary
time on the athletes' gambling habits is also
recommended. Finally, a comparison of college
athletes participating in the NCAA Divisions I,
II, III and the National Association of
Intercollegiate Athletics is an additional
direction that would allow comprehensive
comparisons to be made between athletes that
receive scholarships and athletes who do not.
Data analysis
Frequency rates and cross tabulations were
calculated to allow the researchers to establish
prevalence rates of gambling for the different
subcategories of participants. Pearson
chi-square tests were performed to determine if
relationships existed between the variables. For
any Pearson chi-square tests that were found to
be significant (p< 0.05), Cramer's V tests were
calculated to measure the strength of these
relationships. By using Cramer's V tests, the
researchers were able to measure the degree of
association between variables.
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