Measurement error in psychological research: Lessons from 26 research scenarios
Measurement error in psychological research: Lessons from 26 research scenarios
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DOI：
10.1037/1082-989x.1.2.199
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发表时间：
1996-06-01
影响因子：
7
通讯作者：
Hunter, JE
中科院分区：
文献类型：
--
作者：
Schmidt, FL;Hunter, JE
随着心理学研究变得越来越复杂，越来越倾向于理论的发展和测试，消除测量误差引起的数据偏差变得更加重要。未能纠正测量误差引起的偏差和不适当的纠正都可能导致错误的结论，从而阻碍知识积累的进展。由于测量误差引起的衰减校正在当今的文献中是常见的，并且变得越来越普遍，然而在该过程中经常产生误差。抽象测量理论原则的技术心理测量演示已被证明不足以改善工作研究人员的做法。作为替代，本文使用现实的研究场景（案例）来说明和解释在常见的研究情况下，测量误差的校正适当和不适当的情况。
As research in psychology becomes more sophisticated and more oriented toward the development and testing of theory, it becomes more important to eliminate biases in data caused by measurement error. Both failure to correct for biases induced by measurement error and improper corrections can lead to erroneous conclusions that retard progress toward cumulative knowledge. Corrections for attenuation due to measurement error are common in the literature today and are becoming more common, yet errors are frequently made in this process. Technical psychometric presentations of abstract measurement theory principles have proved inadequte in improving the practices of working researchers. As an alternative, this article uses realistic research scenarios (cases) to illustrate and explain appropriate and inappropriate instances of correction for measurement error in commonly occurring research situations.