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Controlling for Response Biases in Self-Report Scales: Forced-Choice vs. Psychometric Modeling of Likert Items

机译:控制自我报告量表中的反应偏见:李克特项目的强迫选择与心理计量建模

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摘要

One important problem in the measurement of non-cognitive characteristics such as personality traits and attitudes is that it has traditionally been made through Likert scales, which are susceptible to response biases such as social desirability (SDR) and acquiescent (ACQ) responding. Given the variability of these response styles in the population, ignoring their possible effects on the scores may compromise the fairness and the validity of the assessments. Also, response-style-induced errors of measurement can affect the reliability estimates and overestimate convergent validity by correlating higher with other Likert-scale-based measures. Conversely, it can attenuate the predictive power over non-Likert-based indicators, given that the scores contain more errors. This study compares the validity of the Big Five personality scores obtained: (1) ignoring the SDR and ACQ in graded-scale items (GSQ), (2) accounting for SDR and ACQ with a compensatory IRT model, and (3) using forced-choice blocks with a multi-unidimensional pairwise preference model (MUPP) variant for dominance items. The overall results suggest that ignoring SDR and ACQ offered the worst validity evidence, with a higher correlation between personality and SDR scores. The two remaining strategies have their own advantages and disadvantages. The results from the empirical reliability and the convergent validity analysis indicate that when modeling social desirability with graded-scale items, the SDR factor apparently captures part of the variance of the Agreeableness factor. On the other hand, the correlation between the corrected GSQ-based Openness to Experience scores, and the University Access Examination grades was higher than the one with the uncorrected GSQ-based scores, and considerably higher than that using the estimates from the forced-choice data. Conversely, the criterion-related validity of the Forced Choice Questionnaire (FCQ) scores was similar to the results found in meta-analytic studies, correlating higher with Conscientiousness. Nonetheless, the FCQ-scores had considerably lower reliabilities and would demand administering more blocks. Finally, the results are discussed, and some notes are provided for the treatment of SDR and ACQ in future studies.
机译:衡量非认知特征(例如人格特质和态度)的一个重要问题是,传统上是通过李克特量表制作的,该量表易受诸如社会需求(SDR)和默认(ACQ)响应之类的反应偏差的影响。考虑到这些响应方式在人群中的可变性,忽略它们对分数的可能影响可能会损害评估的公平性和有效性。同样,响应样式引起的测量误差会通过与其他基于李克特量表的测量值相关联,从而影响可靠性估计并高估收敛性有效性。相反,鉴于分数包含更多错误,它可以削弱基于非基于Likert的指标的预测能力。这项研究比较了获得的五项人格得分的有效性:(1)忽略分级项目(GSQ)中的SDR和ACQ,(2)使用补偿性IRT模型解释SDR和ACQ,以及(3)使用强制性选择项,具有用于优势项目的多维一维成对偏好模型(MUPP)变体。总体结果表明,忽略SDR和ACQ可提供最差的效度证据,其人格与SDR得分之间的相关性更高。剩下的两种策略各有优缺点。经验信度和收敛效度分析的结果表明,当用等级量表的项目对社会期望进行建模时,SDR因子显然捕获了一部分“令人愉快”因子的方差。另一方面,校正后的基于GSQ的“体验开放度”分数与大学入学考试成绩之间的相关性高于未校正的GSQ的分数,并且远高于使用强制选择的估计值的相关性。数据。相反,强迫选择问卷(FCQ)评分的与标准相关的有效性与荟萃分析研究中发现的结果相似,且与责任感相关性更高。但是,FCQ得分的可靠性要低得多,因此需要管理更多的块。最后,对结果进行了讨论,并为以后的研究中SDR和ACQ的处理提供了一些注意事项。

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