缺少数据
考试(生物学)
多样性(控制论)
心理学
项目反应理论
过程(计算)
计算机科学
计量经济学
统计
认知心理学
机器学习
心理测量学
人工智能
发展心理学
数学
生物
操作系统
古生物学
作者
Esther Ulitzsch,Matthias von Davier,Steffi Pohl
标识
DOI:10.1177/0013164419878241
摘要
So far, modeling approaches for not-reached items have considered one single underlying process. However, missing values at the end of a test can occur for a variety of reasons. On the one hand, examinees may not reach the end of a test due to time limits and lack of working speed. On the other hand, examinees may not attempt all items and quit responding due to, for example, fatigue or lack of motivation. We use response times retrieved from computerized testing to distinguish missing data due to lack of speed from missingness due to quitting. On the basis of this information, we present a new model that allows to disentangle and simultaneously model different missing data mechanisms underlying not-reached items. The model (a) supports a more fine-grained understanding of the processes underlying not-reached items and (b) allows to disentangle different sources describing test performance. In a simulation study, we evaluate estimation of the proposed model. In an empirical study, we show what insights can be gained regarding test-taking behavior using this model.
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