用于检测社会期望偏差的个体拟合指数比较
A Comparison of Person-Fit Indices to Detect Social Desirability Bias.
作者信息
Nazari Sanaz, Leite Walter L, Huggins-Manley A Corinne
机构信息
University of Florida, Gainesville, USA.
出版信息
Educ Psychol Meas. 2023 Oct;83(5):907-928. doi: 10.1177/00131644221129577. Epub 2022 Oct 18.
Social desirability bias (SDB) has been a major concern in educational and psychological assessments when measuring latent variables because it has the potential to introduce measurement error and bias in assessments. Person-fit indices can detect bias in the form of misfitted response vectors. The objective of this study was to compare the performance of 14 person-fit indices to identify SDB in simulated responses. The area under the curve (AUC) of receiver operating characteristic (ROC) curve analysis was computed to evaluate the predictive power of these statistics. The findings showed that the agreement statistic outperformed all other person-fit indices, while the disagreement statistic , dependability statistic , and the number of Guttman errors also demonstrated high AUCs to detect SDB. Recommendations for practitioners to use these fit indices are provided.
社会期望偏差（SDB）在教育和心理评估中测量潜在变量时一直是一个主要问题，因为它有可能在评估中引入测量误差和偏差。个体拟合指数可以检测出不匹配反应向量形式的偏差。本研究的目的是比较14种个体拟合指数在模拟反应中识别社会期望偏差的性能。计算了接受者操作特征（ROC）曲线分析的曲线下面积（AUC），以评估这些统计量的预测能力。研究结果表明，一致性统计量的表现优于所有其他个体拟合指数，而不一致性统计量、可靠性统计量和古特曼误差数在检测社会期望偏差方面也显示出较高的AUC值。为从业者提供了使用这些拟合指数的建议。
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