文章基本信息

标题：Handling Missing Responses in Psychometrics: Methods and Software
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作者：Shenghai Dai
期刊名称：Psych
电子版ISSN：2624-8611
出版年度：2021
卷号：3
期号：4
页码：673-693
DOI：10.3390/psych3040043
语种：English
出版社：MDPI AG
摘要：The presence of missing responses in assessment settings is inevitable and may yield biased parameter estimates in psychometric modeling if ignored or handled improperly. Many methods have been proposed to handle missing responses in assessment data that are often dichotomous or polytomous. Their applications remain nominal, however, partly due to that (1) there is no sufficient support in the literature for an optimal method; (2) many practitioners and researchers are not familiar with these methods; and (3) these methods are usually not employed by psychometric software and missing responses need to be handled separately. This article introduces and reviews the commonly used missing response handling methods in psychometrics, along with the literature that examines and compares the performance of these methods. Further, the use of the TestDataImputation package in R is introduced and illustrated with an example data set and a simulation study. Corresponding R codes are provided.