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Improving the Measurement of Psychological Variables:Ideal Point Models Rock!

机译:改善心理变量的测量:理想点模型Rock!

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摘要

Although there is no doubt that Likert scaling suffices for straightforward scale development and use, it is important to appropriately model the response process for more complex measurement problems. In this response, we comment on the response process and four applications: assessment of dimensionality, computerized adaptive testing, differential item functioning, and individual differences in responding. In each case, we argue that correctly modeling the psychology of responding is critical.
机译:尽管毫无疑问,李克特量表足以满足直接开发和使用量表的需要,但对于更复杂的测量问题,适当地对响应过程建模是很重要的。在此响应中,我们对响应过程和四个应用程序进行了评论:维度评估,计算机化自适应测试,差异项功能以及响应中的个体差异。在每种情况下,我们都认为正确建模响应心理至关重要。

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