Q2 Social Sciences
Purya Baghaei, K. Kubinger
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引用次数: 23

摘要

本文一般介绍了线性逻辑检验模型(Fischer, 1973),这是对项目参数具有线性约束的Rasch模型的扩展,以及eRm(用于估计不同类型的Rasch模型的R包);maair, Hatzinger, & maair, 2014)函数来估计模型并解释其参数。解释了该模型在测试验证、假设检验、测试偏差的跨文化研究、基于规则的项目生成以及研究影响项目难度的构式无关因素等方面的应用。将该模型应用于对外英语阅读理解测试,并对测试结果进行了讨论。效度理论的一个重要方面是“解释”解决测试项目时触发的心理过程。这与“预测”相反,“预测”是基于测试与外部标准的相关性(Messick, 1989, Embretson, 1998)。认知
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Linear Logistic Test Modeling with R.
The present paper gives a general introduction to the linear logistic test model (Fischer, 1973), an extension of the Rasch model with linear constraints on item parameters, along with eRm (an R package to estimate different types of Rasch models; Mair, Hatzinger, & Mair, 2014) functions to estimate the model and interpret its parameters. The applications of the model in test validation, hypothesis testing, cross-cultural studies of test bias, rule-based item generation, and investigating construct irrelevant factors which contribute to item difficulty are explained. The model is applied to an English as a foreign language reading comprehension test and the results are discussed. An important aspect of validity theory is ‘explaining’ the mental processes that are triggered when test items are solved. This is in contrast to ‘prediction’ which is based on the correlation of tests with external criteria (Messick, 1989, Embretson, 1998). cognitive
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CiteScore
2.60
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