A taxometric analysis of problem gambling data from a South African national urban sample

 

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dc.creator Kincaid, Harold
dc.creator Daniels, Reza Che
dc.creator Dellis, Andrew
dc.creator Hofmeyr, Andre
dc.creator Sharp, Carla
dc.creator Rousseau, Jacques
dc.creator Ross, Don
dc.date 2014-06-26T09:50:58Z
dc.date 2014-06-26T09:50:58Z
dc.date 2013
dc.date.accessioned 2015-05-28T10:06:42Z
dc.date.available 2015-05-28T10:06:42Z
dc.date.issued 2015-05-28
dc.identifier Kincaid, H., Daniels, R., Dellis, A., Hofmeyr, A., Sharp, C., & Ross, D.  (2013). A taxometric analysis of problem gambling data from a South African national urban sample, Journal of Gambling Studies, 29: 377-392
dc.identifier http://link.springer.com/article/10.1007%2Fs10899-012-9316-y
dc.identifier http://hdl.handle.net/11090/741
dc.identifier.uri http://hdl.handle.net/11090/741
dc.description We investigate the question whether problem gambling (PG) in a recent South African sample, as measured by the Problem Gambling Severity Index (PGSI), is dimensional or categorical. We use two taxometric procedures, Mean Above Minus Below A Cut (MAMBAC) and Maxim Covariance (MAXCOV), to investigate the taxonic structure of PG as constructed by the PGSI. Data are from the 2010 South African National Urban Prevalence Study of Gambling Behavior. A representative sample of the urban adult population in South Africa (N = 3,000). Responses are to the 9 item PGSI. MAMBAC provided positive but modest evidence that PG as measured by the PGSI was taxonic. MAXCOV pointed more strongly to the same conclusion. These analyses also provide evidence that a PGSI cutoff score of 10 rather than the standard 8 may be called for. PG as constructed by the PGSI may best be thought of as categorical, but further studies with more theory based measurements are needed to determine whether this holds in a wider range of samples and for other screens. A higher cutoff score may be called for on the PGSI when it is used for research purposes to avoid false positives.
dc.language en
dc.publisher Journal of Gambling Studies
dc.subject Gambling
dc.subject Problem gambling
dc.subject Problem Gambling Severity Index
dc.subject South Africa
dc.title A taxometric analysis of problem gambling data from a South African national urban sample
dc.type Journal Article
uct.type.publication Research en_ZA
uct.type.resource Article en_ZA
dc.publisher.institution University of Cape Town
dc.publisher.faculty Faculty of Commerce en_ZA
dc.publisher.department SALDRU en_ZA
dc.identifier.ris TY - Journal Article DA - 2015-05-28 DB - OpenUCT DP - University of Cape Town KW - Gambling KW - Problem gambling KW - Problem Gambling Severity Index KW - South Africa LK - https://open.uct.ac.za PB - University of Cape Town PY - 2015 T1 - A taxometric analysis of problem gambling data from a South African national urban sample TI - A taxometric analysis of problem gambling data from a South African national urban sample UR - http://hdl.handle.net/11090/741 ER - en_ZA


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