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Assessing the dimensionality and factor structure of multiple choice exams - An empirical comparison of methods using the multistate bar examination

机译:评估多项选择题考试的维度和因素结构-使用多州律师考试的方法的经验比较

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Examination of a test's internal structure can be used to identify what domains or dimensions are being measured, identify relationships between the dimensions, provide evidence for hypothesized multidimensionality and test score interpretations, and identify construct-irrelevant variance. The purpose of this research is to provide a methodological comparison of three methods for assessing the dimensionality and factor structure for binary scored exams in which guessing may be operating. The factor analytic methods in Mplus, NOHARM, and TESTFACT are compared in the context of analyzing the Multistate Bar Examination, a multiple-choice exam reflecting a number of complex integrated content domains. Results indicate that the methods support similar factor solutions. However, support for solutions with more factors and more indicators per factor is only obtained when guessing is modeled. The implications for evaluating the internal structure of multiple-choice tests are discussed.
机译:考试内部结构的检查可用于确定要测量的域或维度,确认维度之间的关系,为假设的多维性和考试分数解释提供证据,以及识别与构造无关的差异。这项研究的目的是提供三种方法的方法学比较,以评估可能在其中进行猜测的二元评分考试的维度和因子结构。在分析多状态律师考试的背景下,比较了Mplus,NOHARM和TESTFACT中的因子分析方法,这是一种反映了许多复杂的集成内容领域的多项选择考试。结果表明该方法支持相似的因子解。但是,只有在对猜测建模时才能获得对更多因素和每个因素更多指标的解决方案的支持。讨论了评估多项选择测试的内部结构的含义。

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