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Rasch Modeling of the Self-Deception Scale of the Balanced Inventory of Desirable Responding

机译：期望响应平衡库存的自我欺骗量表的Rasch建模

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Self-deception has become a construct of great interest in individual differences research because it has been associated with levels of resilience and mental health. The Balanced Inventory of Desirable Responding (BIDR) is a self-report measure used for quantifying self-deception. In this study we used Rasch modeling to examine the properties of the self-deception scale of the BIDR in terms of dimensionality, use of response category, sample appropriateness, and reliability. A total of 315 university students ( ages 18-21) were administered the self-deception scale of the BIDR. Seven-category and 2-category scoring methods were compared, as approved by the developers of the scale. Overall, the 7-category model was the best fit for the data and the sample. We concluded that the scale has the best reliability using a 7-category model with Item 13 deleted. Because of low person measure separation and reliability, the appropriateness of use of this instrument in undergraduate populations is questioned; the use of the measure in populations with larger ranges of self-deception is not recommended.
机译：自我欺骗已成为个人差异研究的重要组成部分，因为它与复原力和心理健康水平相关。期望响应的平衡库存（BIDR）是一种用于量化自欺欺人的自我报告度量。在本研究中，我们使用Rasch建模从维度，响应类别的使用，样本适用性和可靠性方面检查了BIDR自我欺骗量表的属性。共有315名大学生（18-21岁）接受了BIDR的自我欺骗量表的管理。经量表开发商批准，比较了7类和2类评分方法。总体而言，7类模型最适合数据和样本。我们得出的结论是，使用删除了第13项的7类模型，该秤具有最佳的可靠性。由于人员测量的分离度和可靠性较低，因此有人质疑该仪器在大学生群体中使用的适当性;不建议在自欺范围较大的人群中使用该措施。

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