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oREV:一种基于项目反应理论的 3 至 8 岁儿童开放性接受词汇任务。

oREV: An item response theory-based open receptive vocabulary task for 3- to 8-year-old children.

机构信息

Department of Comparative Cultural Psychology, Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, 04103, Leipzig, Germany.

Institut für Psychologie, Leuphana Universität Lüneburg, Lüneburg, Germany.

出版信息

Behav Res Methods. 2024 Mar;56(3):2595-2605. doi: 10.3758/s13428-023-02169-3. Epub 2023 Jul 5.

Abstract

Individual differences in early language abilities are an important predictor of later life outcomes. High-quality, easy-access measures of language abilities are rare, especially in the preschool and primary school years. The present study describes the construction of a new receptive vocabulary task for children between 3 and 8 years of age. The task was implemented as a browser-based web application, allowing for both in-person and remote data collection via the internet. Based on data from N = 581 German-speaking children, we estimated the psychometric properties of each item in a larger initial item pool via item response modeling. We then applied an automated item selection procedure to select an optimal subset of items based on item difficulty and discrimination. The so-constructed task has 22 items and shows excellent psychometric properties with respect to reliability, stability, and convergent and discriminant validity. The construction, implementation, and item selection process described here makes it easy to extend the task or adapt it to different languages. All materials and code are freely accessible to interested researchers. The task can be used via the following website: https://ccp-odc.eva.mpg.de/orev-demo .

摘要

个体在早期语言能力方面的差异是预测后期生活结果的一个重要因素。高质量、易于获取的语言能力测量方法很少,尤其是在学前和小学阶段。本研究描述了一种新的儿童接受性词汇任务的构建,适用于 3 至 8 岁的儿童。该任务是作为基于浏览器的网络应用程序实现的,允许通过互联网进行现场和远程数据收集。基于来自 581 名讲德语的儿童的数据,我们通过项目反应建模估计了更大初始项目池中每个项目的心理测量特性。然后,我们应用了一种自动项目选择程序,根据项目难度和区分度选择最佳项目子集。由此构建的任务有 22 个项目,在可靠性、稳定性以及聚合和区分效度方面具有优异的心理测量特性。这里描述的构建、实现和项目选择过程使得很容易扩展任务或使其适应不同的语言。所有感兴趣的研究人员都可以免费访问材料和代码。该任务可通过以下网站使用:https://ccp-odc.eva.mpg.de/orev-demo。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e956/10991070/e342332d0da0/13428_2023_2169_Fig1_HTML.jpg

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