Toward efficient and comprehensive measurement of the alcohol problems continuum in college students: The brief young adult alcohol consequences questionnaire

Toward efficient and comprehensive measurement of the alcohol problems continuum in college students: The brief young adult alcohol consequences questionnaire
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DOI:
10.1097/01.alc.0000171940.95813.a5
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发表时间:
2005-07-01
期刊:
ALCOHOL-CLINICAL AND EXPERIMENTAL RESEARCH
影响因子:
--
通讯作者:
Read, JP
Read, JP
中科院分区:
其他
文献类型:
--
作者:
Kahler, CW;Strong, DR;Read, JP

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背景资料:虽然一些措施的酒精问题,在大学生中进行了研究,这些量表的心理测量的发展和验证一直是有限的,在大多数情况下,基于经典测试理论的方法。在本研究中,我们基于项目反应理论进行了分析,以选择一组用于测量大学生酒精问题严重程度连续体的项目,该项目平衡了综合性和效率,并且没有显著的性别偏见。我们进行了Rasch模型分析,164名男性和176名女性大学生至少每周饮酒一次。使用项目拟合统计量、项目严重性、项目判别参数、模型残差和按性别分析项目功能差异的迭代过程,将项目分解为最适合Rasch模型的项目,并最有效地区分样本中的酒精问题水平。迭代Rasch模型分析的过程导致最终的24项量表与一维Rasch模型非常拟合的数据。该量表显示出良好的分布特性,项目充分匹配样本中酒精问题的严重程度,涵盖了问题严重程度的全方位,并且在保留原始48个项目集捕获的所有有意义的方差方面表现出高度效率。使用Rasch模型分析为项目选择提供信息,产生了一个最终的量表,在其全面性和效率方面,应该是研究大学生酒精问题的研究人员的有用工具。为了帮助解释原始分数,提供了在一系列选定分数中可能经历的酒精问题类型的示例。
Background: Although a number of measures of alcohol problems in college students have been studied, the psychometric development and validation of these scales have been limited, for the most part, to methods based on classical test theory. In this study, we conducted analyses based on item response theory to select a set of items for measuring the alcohol problem severity continuum in college students that balances comprehensiveness and efficiency and is free from significant gender bias.Method: We conducted Rasch model analyses of responses to the 48-item Young Adult Alcohol Consequences Questionnaire by 164 male and 176 female college students who drank on at least a weekly basis. An iterative process using item fit statistics, item severities, item discrimination parameters, model residuals, and analysis of differential item functioning by gender was used to pare the items down to those that best fit a Rasch model and that were most efficient in discriminating among levels of alcohol problems in the sample.Results: The process of iterative Rasch model analyses resulted in a final 24-item scale with the data fitting the unidimensional Rasch model very well. The scale showed excellent distributional properties, had items adequately matched to the severity of alcohol problems in the sample, covered a full range of problem severity, and appeared highly efficient in retaining all of the meaningful variance captured by the original set of 48 items.Conclusions: The use of Rasch model analyses to inform item selection produced a final scale that, in both its comprehensiveness and its efficiency, should be a useful tool for researchers studying alcohol problems in college students. To aid interpretation of raw scores, examples of the types of alcohol problems that are likely to be experienced across a range of selected scores are provided.