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

机译:自我报告尺度中的响应偏差控制:强制选择与李克特项目的心理模型

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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:诸如人格性状和态度之类的非认知特征测量中的一个重要问题是,它传统上通过李克特量表进行,这易受社会期望(SDR)和默认(ACQ)响应的响应偏差的影响。鉴于人口中这些反应风格的可变性,无视他们对分数的可能影响可能会损害评估的公平性和有效性。此外,响应式诱导的测量误差可以通过与基于其他浪潮的措施相关的相关性来影响可靠性估计和估计的会聚有效性。相反,鉴于分数包含更多错误,它可以衰减基于非吉利特的指标的预测力。本研究比较了所获得的五个人格评分的有效性:(1)忽略分级级项目(GSQ)的SDR和ACQ,(2)与补偿IRT模型的SDR和ACQ核算,并使用强制使用(3) -Choice块,具有用于优势项目的多维二维成对偏好模型(MUPP)变体。整体结果表明,忽略了SDR和ACQ提供了最差的有效证据,性格与SDR分数之间的相关性更高。两个剩余的策略有自己的优缺点。来自经验性可靠性和收敛有效性分析的结果表明,在以分级尺度项目建模社会期望时,SDR因子显然捕获了协议因子的方差的一部分。另一方面,校正的基于GSQ的开放性与体验分数之间的相关性,大学访问考试等级高于未校正的基于GSQ的分数,并且比使用强制选择的估计值高得多数据。相反,强制选择问卷(FCQ)评分的标准相关有效性与荟萃分析研究中发现的结果相似,与休闲性相关的相关结果。尽管如此,FCQ分数相当较低的可靠性,并要求管理更多块。最后,讨论了结果,并在将来的研究中待遇了一些票据,用于治疗SDR和ACQ。

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