Validity and reliability are important psychometric properties for specialists who try to understand human behavior with measurement tools. There are many factors that affect psychometric properties, and one of them is aberrant response behavior. Person-fit statistics are one way to detect aberrant individuals. The general purpose of the study was to specify the effects of possible aberrant individuals on fit indices in the Confirmatory Factor Analysis and their effects on estimated parameters by using the Mokken Homogeneity Model and the Graded Response Model. Satisfaction with Life Scale (SWLS) and the Positive and Negative Affect Scale (PANAS) were used in accordance with the purpose of this research. Flagged individuals were determined according to parametric and non-parametric person-fit statistics for both SWLS and PANAS. These individuals were removed from the data sets, and the trimmed data sets were created. Trimmed and untrimmed data sets were compared. It is seen that individuals who were flagged as aberrant generally affected the statistical results. Especially from the data sets trimmed by the parametric person-fit statistic more discriminative items were obtained. According to the research results, searching for aberrant responses can be suggested in scale development and scale adaptation studies.

对于试图通过测量工具了解人类行为的专家而言，有效性和可靠性是重要的心理测量属性。影响心理测量特性的因素很多，其中之一就是异常的反应行为。人员适应性统计数据是检测异常个体的一种方法。该研究的总体目的是通过使用Mokken同质模型和分级响应模型来指定确认性因素分析中可能的异常个体对拟合指数的影响及其对估计参数的影响。根据本研究的目的，使用了生活满意度量表（SWLS）和积极和消极情感量表（PANAS）。被标记的个人是根据SWLS和PAN​​AS的参数和非参数人员适合度统计信息确定的。从数据集中删除这些个人，并创建修剪后的数据集。比较了修剪和未修剪的数据集。可以看出，被标记为异常的个人通常会影响统计结果。特别是从通过参数化的人员拟合统计数据整理的数据集中，获得了更多可判别的项目。根据研究结果，可以在规模发展和规模适应性研究中提出寻找异常反应的建议。