Constructing tests for skill assessment with competence-based test development

IF 1.5 3区 心理学 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS British Journal of Mathematical & Statistical Psychology Pub Date : 2024-02-02 DOI:10.1111/bmsp.12335
Pasquale Anselmi, Jürgen Heller, Luca Stefanutti, Egidio Robusto
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Abstract

Competence-based test development is a recent and innovative method for the construction of tests that are as informative as possible about the competence state (the set of skills an individual has available) underlying the observed item responses. It finds application in different contexts, including the development of tests from scratch, and the improvement or shortening of existing tests. Given a fixed collection of competence states existing in a population of individuals and a fixed collection of competencies (each of which being the subset of skills that allow for solving an item), the competency deletion procedure results in tests that differ from each other in the competencies but are all equally informative about individuals' competence states. This work introduces a streamlined version of the competency deletion procedure that considers information necessary for test construction only, illustrates a straightforward way to incorporate test developer preferences about competencies into the test construction process, and evaluates the performance of the resulting tests in uncovering the competence states from the observed item responses.

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利用基于能力的测试开发构建技能评估测试
以能力为基础的测验开发是一种最新的创新方法,它所设计的测验能尽可能地反映所观察到的项目反应背后的能力状态(一个人所具备的一系列技能)。它适用于不同的情况,包括从零开始开发测验,以及改进或缩短现有的测验。在个人群体中存在固定的能力状态集合和固定的能力集合(每个能力集合都是能够解决一个题目的技能子集)的情况下,能力删除程序所产生的测验在能力方面彼此不同,但在个人能力状态方面却具有相同的信息量。这项工作介绍了一种简化版的能力删除程序,它只考虑了构建测验所需的信息,说明了一种将测验开发者对能力的偏好纳入测验构建过程的直接方法,并评估了由此产生的测验在从观察到的项目反应中揭示能力状态方面的性能。
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来源期刊
CiteScore
5.00
自引率
3.80%
发文量
34
审稿时长
>12 weeks
期刊介绍: The British Journal of Mathematical and Statistical Psychology publishes articles relating to areas of psychology which have a greater mathematical or statistical aspect of their argument than is usually acceptable to other journals including: • mathematical psychology • statistics • psychometrics • decision making • psychophysics • classification • relevant areas of mathematics, computing and computer software These include articles that address substantitive psychological issues or that develop and extend techniques useful to psychologists. New models for psychological processes, new approaches to existing data, critiques of existing models and improved algorithms for estimating the parameters of a model are examples of articles which may be favoured.
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