期刊名称：Practical Assessment, Research and Evaluation
印刷版ISSN：1531-7714
电子版ISSN：1531-7714
出版年度：2016
卷号：21
期号：1
出版社：ERIC: Clearinghouse On Assessment and Evaluation
摘要：This paper aims to illustrate how data visualization could be modeling, using an example with multi item response theory and factor analysis to identify a psychometric model that investigates two or more latent traits. While it may seem convenient to accomplish two tasks by employing one procedure, users should be cautious of problematic items that affect both factor analysis and IRT. When sample sizes are extremely large, reliability analyses can misidentify even random number meaningful patterns. Data visualization, such as median smoothing, can be used to identify problematic items in preliminary data cleaning.
