英语能力测试在不同模式下的等效性证据:一个拉什分析

Q2 Social Sciences Teflin Journal Pub Date : 2023-10-22 DOI:10.15639/teflinjournal.v34i2/301-319
Muhammad Yoga Prabowo, Sarah Rahmadian
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引用次数: 0

摘要

2019冠状病毒病大流行的爆发以前所未有的方式改变了教育格局。全世界的教育机构都在离线和在线学习之间游移不定。计算机测试正迅速取代纸笔测试,成为主要的评估模式。在某些情况下,基于计算机和纸笔的评估也可以同时提供,在这种情况下,测试开发人员应该确保这两个版本之间的证据是等价的。本研究旨在建立英语能力测试不同交付模式的等效性证据,该测试是由印度尼西亚共和国财政部下属的公务员培训机构人力资源开发教育培训中心开发和使用的公务员英语语言评估。采用Rasch模型进行心理测量分析,以测量测量估计的单维性、信度、分离性和标准误差。研究结果表明,纸笔版本和电脑版本的语言评估表现出相对相同的心理测量特性。事实证明,计算机版英语能力测试比纸笔版更可靠、更具可比性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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EQUIVALENCY EVIDENCE OF THE ENGLISH COMPETENCY TEST ACROSS DIFFERENT MODES: A RASCH ANALYSIS
The outbreak of the COVID-19 pandemic has transformed the educational landscape in a way unseen before. Educational institutions are navigating between offline and online learning worldwide. Computer-based testing is rapidly taking over paper-and-pencil testing as the dominant mode of assessment. In some settings, computer-based and paper-and-pencil assessments can also be offered side-by-side, in which case test developers should ensure the evidence of equivalence between both versions. This study aims to establish the equivalency evidence of different delivery modes of the English Competency Test, an English language assessment for civil service officers developed and used by the Human Resources Development Education and Training Center, a civil service training institution under the Ministry of Finance of the Republic of Indonesia. Psychometric analyses were carried out with the Rasch model to measure the unidimensionality, reliability, separation, and standard error of measurement estimates. The findings demonstrate that the paper-and-pencil and computer-based versions of the language assessment exhibit comparatively equivalent psychometric properties. The computer-based version of the English Competency Test is proven to offer a reliable and comparable alternative to the paper-and-pencil version.
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来源期刊
Teflin Journal
Teflin Journal Social Sciences-Linguistics and Language
CiteScore
1.50
自引率
0.00%
发文量
9
审稿时长
20 weeks
期刊最新文献
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