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Acquiescence as a source of bias and model and person misfit: a theoretical and empirical analysis.

机译:默认是偏差和模型与人的不适应的根源:理论和经验分析。

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摘要

In personality and attitude measurement, the presence of acquiescent responding can have an impact on the whole process of item calibration and test scoring, and this can occur even when sensible procedures for controlling acquiescence are used. This paper considers a bidimensional (content acquiescence) factor-analytic model to be the correct model, and assesses the effects of fitting unidimensional models to theoretically unidimensional scales when acquiescence is in fact operating. The analysis considers two types of scales: non-balanced and fully balanced. The effects are analysed at both the calibration and the scoring stages, and are of two types: bias in the item/respondent parameter estimates and model/person misfit. The results obtained theoretically are checked and assessed by means of simulation. The results and predictions are then assessed in an empirical study based on two personality scales. The implications of the results for applied personality research are discussed.
机译:在性格和态度测量中,默认响应的存在会影响项目校准和测试评分的整个过程,即使使用了控制默认的明智程序,也会发生这种情况。本文认为二维(内容默认)因子分析模型是正确的模型,并评估了在默认情况下实际运行时将一维模型拟合到理论上一维尺度的效果。分析考虑了两种类型的量表:非平衡量表和完全平衡量表。在校准和评分阶段均会分析影响,分为两种类型:项目/受访者参数估计中的偏差以及模型/人员的不匹配。理论上获得的结果将通过仿真进行检查和评估。然后基于两个人格量表在一项实证研究中评估结果和预测。讨论了结果对应用人格研究的意义。

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