Koch Marco, Spinath Frank M, Greiff Samuel, Becker Nicolas
Individual Differences & Psychodiagnostics, Saarland University, Campus A1 3, D-66123 Saarbrücken, Germany.
Department of Behavioral and Cognitive Sciences, University of Luxembourg, 4366 Luxembourg, Luxembourg.
J Intell. 2022 Jul 13;10(3):41. doi: 10.3390/jintelligence10030041.
Figural matrices tasks are one of the most prominent item formats used in intelligence tests, and their relevance for the assessment of cognitive abilities is unquestionable. However, despite endeavors of the open science movement to make scientific research accessible on all levels, there is a lack of royalty-free figural matrices tests. The Open Matrices Item Bank (OMIB) closes this gap by providing free and unlimited access (GPLv3 license) to a large set of empirically validated figural matrices items. We developed a set of 220 figural matrices based on well-established construction principles commonly used in matrices tests and administered them to a sample of N = 2572 applicants to medical schools. The results of item response models and reliability analyses demonstrate the excellent psychometric properties of the items. In the discussion, we elucidate how researchers can already use the OMIB to gain access to high-quality matrices tests for their studies. Furthermore, we provide perspectives for features that could additionally improve the utility of the OMIB.
图形矩阵任务是智力测试中最突出的项目形式之一，其在认知能力评估中的相关性毋庸置疑。然而，尽管开放科学运动致力于在各个层面提供可获取的科学研究，但仍缺乏免版税的图形矩阵测试。开放矩阵题库（OMIB）通过提供对大量经实证验证的图形矩阵项目的免费和无限制访问（GPLv3许可）来填补这一空白。我们根据矩阵测试中常用的既定构建原则开发了一组220个图形矩阵，并将其施测于N = 2572名医学院申请者的样本。项目反应模型和信度分析的结果证明了这些项目优异的心理测量特性。在讨论中，我们阐明了研究人员如何已经可以使用OMIB来为他们的研究获取高质量的矩阵测试。此外，我们还提供了一些功能的展望，这些功能可以进一步提高OMIB的实用性。
