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Comparing Factor Analysis and the Rasch Model for Ordered Response Categories: An Investigation of the Scale of Gambling Choices

机译:有序反应类别的比较因素分析和Rasch模型:赌博选择量表的调查

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摘要

Using both factor analysis (Spearman, 1904) and the Rasch model for ordered response categories (Andrich, 1978), the present study investigated the structure of the Scale of Gambling Choices (SGC, Baron, Dickerson and Blaszczynski, 1995). The scale was administered to a participant sample (n = 210) consisting of 57 first year psychology students, 104 in situ club Electronic Gaming Machine (EGM) players and 49 self-referred problem gamblers. It was hypothesised that the results yielded by factor analysis and Andrich's model would not agree with respect to the behaviour of individual items. This hypothesis was supported; supporting the results of previous research (Johnson, et al., 1995; Raju, et al., 2002; Reise, et al, 1993). It was also hypothesised that a relationship would exist between item factor loadings and item expected value curve slope coefficients. This hypothesis was not supported and so hence did not support the findings of Parsons and Hulin (1982) and Roskam (1985). It was concluded that this was perhaps due to the different latent variable conceptions which exist between the Rasch models and factor analysis (Bollen, 2002). The limitations of the research were outlined and suggestions for future research were made.
机译:使用因素分析(Spearman,1904)和Rasch模型进行有序反应类别(Andrich,1978),本研究调查了赌博选择量表的结构(SGC,Baron,Dickerson和Blaszczynski,1995)。该量表适用于参与者样本(n = 210),该样本由57名第一年心理学学生,104名就地俱乐部电子游戏机(EGM)玩家和49名自荐问题赌徒组成。假设因素分析和Andrich模型得出的结果与单个项目的行为不一致。这一假设得到支持;支持先前研究的结果(Johnson等,1995; Raju等,2002; Reise等,1993)。还假设项目因素负荷与项目期望值曲线斜率系数之间存在关系。这个假设没有得到支持,因此也就不支持Parsons和Hulin(1982)和Roskam(1985)的发现。结论是,这可能是由于Rasch模型和因子分析之间存在不同的潜在变量概念而引起的(Bollen,2002)。概述了研究的局限性,并提出了进一步研究的建议。

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