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Tackling measurement problems with Item Response Theory: Principles, characteristics, and assessment, with an illustrative example

机译:使用项目响应理论解决测量问题:原理,特征和评估,并带有示例

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Interest in measurement issues remains unabated, as evidenced by published research in the area of reliability, validity, and, in particular, scale development. At the same time, psychometricians have continued to generate alternative measurement approaches and models at an explosive pace. Surprisingly, these alternative measurement approaches have been slow to diffuse into the marketing literature despite marketers' inherent interest in measurement issues. This paper discusses one such measurement approach, item response theory (IRT), which can potentially address critical measurement concerns. My focus is on identifying basic principles and key characteristics and on providing an assessment for applied researchers. Toward this end, an empirical example of role conflict (RC) and role ambiguity (RA) concepts is included to illustrate IRT principles and amplify the theory's relevance to resolving measurement dilemmas. In addition, I provide a comparison with the current paradigm of measurement―classical test theory (CTT)―to afford a balanced appreciation of the payoffs of adopting the IRT approach.
机译:正如关于可靠性,有效性,尤其是规模发展方面的已发表研究所证明的那样,对测量问题的兴趣仍然没有减弱。同时,心理学家继续以爆炸性的速度生成替代的测量方法和模型。出乎意料的是,尽管市场营销人员对测量问题有着内在的兴趣,但这些替代的测量方法在市场文献中的传播却很慢。本文讨论了一种这样的测量方法,即项目响应理论(IRT),它可以潜在地解决关键的测量问题。我的重点是确定基本原理和关键特征,并为应用研究人员提供评估。为此,本文提供了角色冲突(RC)和角色歧义(RA)概念的经验示例,以说明IRT原理并扩大该理论与解决测量难题的相关性。此外,我与经典的测试理论(CTT)的当前测量范式进行了比较,以均衡地评估采用IRT方法的收益。

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