Bohn Manuel, Prein Julia, Engicht Jonas, Haun Daniel, Gagarina Natalia, Koch Tobias
Institute of Psychology in Education, Leuphana University Lüneburg, Universitätsallee 1, 21335, Lüneburg, Germany.
Department of Comparative Cultural Psychology, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
Behav Res Methods. 2025 Feb 17;57(3):95. doi: 10.3758/s13428-025-02615-4.
Parent report measures have proven to be a valuable research tool for studying early language development. Caregivers are given a list of words and are asked which of them their child has already used. However, most available measures are not suited for children beyond infancy, come with substantial licensing costs or lack a clear psychometric foundation. Here, we present the PREVIC (Parent Report of Expressive Vocabulary in Children), an open-access, high-quality vocabulary checklist for German-speaking children between 3 and 8 years of age. The PREVIC was constructed leveraging the advantages of item response theory: we designed a large initial item pool of 379 words and collected data from 1190 caregivers of children between 3 and 8 years of age. Based on these data, we computed a range of fit indices for each item (word) and used an automated item selection algorithm to compile a final pool that contains items that (a) vary in difficulty and (b) fit the Rasch (one-parameter logistic) model. The resulting task is highly reliable and shows convergent validity. The IRT-based construction allowed us to design an adaptive version of the task that substantially reduces the task duration while retaining measurement precision. The task - including the adaptive version - was implemented as a website and is freely accessible online ( https://ccp-odc.eva.mpg.de/previc-demo/ ). The PREVIC fills an important gap in the toolkit of researchers interested in language development and provides an ideal starting point for developing converging measures in other languages.
家长报告测量方法已被证明是研究早期语言发展的一种有价值的研究工具。研究人员会给照顾者一份单词列表,询问他们孩子已经使用过其中哪些单词。然而,大多数现有的测量方法不适用于婴儿期之后的儿童,许可成本高昂,或者缺乏明确的心理测量学基础。在此,我们推出了PREVIC(儿童表达性词汇家长报告),这是一份面向3至8岁德语儿童的开放获取、高质量词汇检查表。PREVIC的构建利用了项目反应理论的优势:我们设计了一个由379个单词组成的大型初始项目库,并收集了1190名3至8岁儿童照顾者的数据。基于这些数据,我们计算了每个项目(单词)的一系列拟合指数,并使用自动项目选择算法编制了一个最终项目库,其中包含(a)难度各异且(b)符合拉施(单参数逻辑)模型的项目。由此产生的任务具有高度可靠性,并显示出收敛效度。基于IRT的构建使我们能够设计该任务的自适应版本,在保持测量精度的同时大幅缩短任务时长。该任务(包括自适应版本)已作为一个网站实施,可在网上免费访问(https://ccp-odc.eva.mpg.de/previc-demo/)。PREVIC填补了对语言发展感兴趣的研究人员工具包中的一个重要空白,并为开发其他语言的收敛测量方法提供了一个理想的起点。