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The Observation of Incremental Validity Does Not Always Mean Unique Contribution to Prediction

机译:增量有效性的观察并不总是意味着对预测的独特贡献

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摘要

Statistical analyses require proper interpretation. Misinterpretation leads to a lack of understanding of the relationships among variables. Worse, it can lead to misunderstanding of these relationships, which sometimes lead researchers and practitioners to infer the presence of a source of variance that is not present. This is especially true in regression where increased predictiveness from an additional variable may be due to either common or specific variance. In many instances, erroneous interpretation leads to erroneous attribution of the source of the improved prediction. Three examples are provided and methods for detecting specific variance are suggested.
机译:统计分析需要适当的解释。误解导致对变量之间关系的理解不足。更糟糕的是,这可能导致对这些关系的误解,有时会导致研究人员和从业人员推断出不存在的差异源。在回归中尤其如此,在回归中,来自其他变量的预测性增加可能是由于常见差异或特定差异。在许多情况下,错误的解释会导致对改进预测的来源进行错误的归因。提供了三个示例,并提出了检测特定方差的方法。

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