Harris Nicholas, Newby Jennifer, Klein Rupert G
Department of Psychology, Lakehead University, 955 Oliver Road, Thunder Bay, ON, P7B 5E1, Canada,
J Gambl Stud. 2015 Jun;31(2):385-96. doi: 10.1007/s10899-013-9431-4.
Understanding the factors that contribute to problem gambling (PG) is imperative. Individual differences in sensation seeking (SS), as measured by the Sensation Seeking Scale Form (SSS-V), have been found to be predictive of PG among university student samples. However, what is less clear, is if the four SSS-V subscales capture unique facets of SS that are particularly predictive of PG. Much less studied than SS, competitiveness has also been found to be predictive of PG. The Competitiveness Orientation Measure (COM) is a newly developed measure of competitiveness, comprising of four facets. The main purpose of the current study was to examine if these four facets of competitiveness predicted variance in PG over and above the variance predicted by the four SSS-V subscales. Participants included 158 university student gamblers. Sequential regression analysis showed that after accounting for gender, age, and the four SSS-V subscales the only facet of the COM found to be a significant predictor of PG severity was Dominant Competitiveness. Dominant Competitiveness predicted an additional 11% of PG severity. These results provide support for the Dominant Competitiveness subscale of the COM as having utility in predicting PG over and above the predictive utility of the SSS-V subscales. Practical implications for the current findings are discussed.
了解导致问题赌博（PG）的因素至关重要。通过感觉寻求量表（SSS-V）测量的感觉寻求（SS）方面的个体差异，已被发现在大学生样本中可预测PG。然而，尚不清楚的是，SSS-V的四个子量表是否捕捉到了对PG具有特别预测性的SS的独特方面。与SS相比研究较少的竞争性，也被发现可预测PG。竞争性取向测量（COM）是一种新开发的竞争性测量方法，由四个方面组成。本研究的主要目的是检验这四个竞争性方面是否能预测PG中的方差，超出由SSS-V的四个子量表预测的方差。参与者包括158名大学生赌徒。顺序回归分析表明，在考虑了性别、年龄和SSS-V的四个子量表后，发现COM中唯一能显著预测PG严重程度的方面是主导竞争性。主导竞争性预测了PG严重程度的额外11%。这些结果支持了COM的主导竞争性子量表在预测PG方面具有效用，超出了SSS-V子量表的预测效用。讨论了当前研究结果的实际意义。
