摘要
在对不努力作答(IER)概念和方法综述的基础上,通过一个心理量表的真实测试数据,介绍了如何综合采用不同的方法甄别IER。主要包括:(1)探索不同指标对不努力作答模式的敏感性,探讨了应用多种指标的必要性以及如何选取的问题;(2)分析IER对测验工具指标计算结果的消极影响;(3)总结不努力作答数据清洗方法及注意事项,为提升量表数据质量提供了数据清理方面的建议。
The current study summarized the methods of insufficient-effort responding(IER)and focused on how to apply these methods to flag IER data in practical research.Taking the data of Humor Styles Questionnaire as an example,two ways of calculating the cutoff of each method are introduced.In the first study,five IER patterns were defined.Comparing the difference between the flag data and Unflag data identified by 7 IER indicator in five patterns,we explored the applicability of each indicators for different IER patterns.In Study 2,we demonstrated the three steps of flagging IER data,and then the negative effects of IER data were investigated by calculating changes in coefficient alpha,correlation coefficients between scales,and confirmatory factor analysis model-data fit.In discussion,we summarized the advantages and shortcomings of every method and gave advices about choosing and using these methods.In conclusion,insufficient-effort responding is prevalent and it can obscure the calculated result of psychometrical indicators.So,it is necessary to identify and clean IER data.This study could help researchers realize the importance of removing IER data and get to know how to identify the IER data in their surveys,mainly including how to calculate the cutoff,and how to choose and apply IER indices.
作者
王丹
刘红云
Wang Dan;Liu Hongyun(Beijing Key Laboratory of Applied Experimental Psychology,National Demonstration Center for Experimental Psychology Education,Faculty of Psychology,Beijing Normal University,Beijing 100875)
出处
《心理学探新》
CSSCI
北大核心
2023年第6期558-566,共9页
Psychological Exploration
基金
国家自然科学基金项目(32071091)。
关键词
不努力作答
量表数据
不努力作答模式
数据清理
insufficient-effort responding
scale data
careless responding
data chean
