著者
木戸 盛年 嶋崎 恒雄
出版者
公益社団法人 日本心理学会
雑誌
心理学研究 (ISSN:00215236)
巻号頁・発行日
vol.77, no.6, pp.547-552, 2007-02-25 (Released:2010-07-16)
参考文献数
18
被引用文献数
6 7

The South Oaks Gambling Screen (SOGS) was originally developed to screen for pathological gamblers in clinical settings, and its use has been expanded to other settings such as prevalence studies of pathological gambling in general populations. There are few studies of pathological gambling in Japan, except for the two studies on the development of the modified Japanese version of the SOGS. The present study examines the reliability and validity of the modified Japanese version of the SOGS using two different groups: a university student group (N=96) and a gambler group (N=66). Analyses of the modified Japanese version of the SOGS showed that there was sufficient internal consistency (α=.898) and reliability. The modified Japanese version of the SOGS demonstrated satisfactory validity in differentiating the university student group from the gambler group.
著者
沼田 恵太郎 嶋崎 恒雄
出版者
公益社団法人 日本心理学会
雑誌
心理学研究 (ISSN:00215236)
巻号頁・発行日
vol.80, no.1, pp.54-60, 2009 (Released:2012-02-14)
参考文献数
23
被引用文献数
1 1

We demonstrated second-order retrospective revaluation with three cues (T1,T2, and C) and an outcome, in human contingency learning. Experimental task, PC-controlled video game in which participants were required to observe about the relations between firing missiles and the tank destruction, consisted of three training phases and two rating phases. Groups C+ and C− consisted of same first two training phases, CT+ (cues C and T with an outcome) and T1T2+ followed by C+, or C− training for Groups C+, C−, respectively. In rating phases, it is clearly demonstrated that the judgment of predictive value for the outcome of the T2 were higher by C+ training (second-order unovershadowing) and lowered by C− training (second-order backward blocking). The results for Groups RC+ and RC−, in which the orders of the first two training phase for Groups C+ and C−were interchanged, also showed second-order unovershadowing and second-order backward blocking. These results, the robustness of second-order retrospective revaluation against the order of the first training phases, can be explained by the extended comparator hypothesis and probabilistic contrast model. However, these results cannot be explained by traditional associative learning models.