a Department Educational Psychology , University of Wisconsin Madison , Madison , USA.
b Department of Medicine , University of Wisconsin Madison School of Medicine and Public Health , Madison , USA.
Multivariate Behav Res. 2018 Mar-Apr;53(2):199-218. doi: 10.1080/00273171.2017.1413636. Epub 2018 Jan 11.
Extreme response style (ERS) has the potential to bias the measurement of intra-individual variability in psychological constructs. This paper explores such bias through a multilevel extension of a latent trait model for modeling response styles applied to repeated measures rating scale data. Modeling responses to multi-item scales of positive and negative affect collected from smokers at clinic visits following a smoking cessation attempt revealed considerable ERS bias in the intra-individual sum score variances. In addition, simulation studies suggest the magnitude and direction of bias due to ERS is heavily dependent on the mean affect level, supporting a model-based approach to the study and control of ERS effects. Application of the proposed model-based adjustment is found to improve intra-individual variability as a predictor of smoking cessation.
极端反应风格（ERS）有可能影响心理结构个体内变异性的测量。本文通过对用于重复测量评分量表数据的反应风格进行建模的潜在特质模型的多层次扩展来探索这种偏差。对戒烟尝试后诊所就诊的吸烟者进行的正、负性情绪多项目量表的反应进行建模，结果显示个体内总分方差存在相当大的 ERS 偏差。此外，模拟研究表明，ERS 引起的偏差的大小和方向在很大程度上取决于平均情感水平，这支持了一种基于模型的方法来研究和控制 ERS 效应。研究发现，应用所提出的基于模型的调整可以改善作为戒烟预测因子的个体内变异性。
