自动生成测试表格的心理测量框架和分数性质的比较分析

IF 2.7 4区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH
Won-Chan Lee, Stella Y. Kim
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引用次数: 0

摘要

本文通过引入三个概念框架:交替测验形式、随机平行测验形式和近似平行测验形式,探讨了自动生成测验形式所得分数的心理测量特性。每个框架对分数的可比性、真实分数和测量标准误差(SEM)的定义以及相等的必要性提供了不同的视角。通过模拟研究,我们说明了这些框架如何在真实分数和sem方面进行比较,同时还评估了在不同形式可变性水平上相等对分数可比性的影响。最终,本研究旨在为在使用自动生成表格的大规模标准化评估中实施评分实践奠定基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Comparative Analysis of Psychometric Frameworks and Properties of Scores from Autogenerated Test Forms

Comparative Analysis of Psychometric Frameworks and Properties of Scores from Autogenerated Test Forms

This paper explores the psychometric properties of scores derived from autogenerated test forms by introducing three conceptual frameworks: Alternate Test Forms, Randomly Parallel Forms, and Approximately Parallel Forms. Each framework provides a distinct perspective on score comparability, definitions of true score and standard error of measurement (SEM), and the necessity of equating. Through a simulation study, we illustrate how these frameworks compare in terms of true scores and SEMs, while also assessing the impact of equating on score comparability across varying levels of form variability. Ultimately, this study seeks to lay the groundwork for implementing scoring practices in large-scale standardized assessments that use autogenerated forms.

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来源期刊
CiteScore
3.90
自引率
15.00%
发文量
47
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