A comparison of three test formats to assess word difficulty

Author:

Culligan Brent1

Affiliation:

1. Aoyama Gakuin Women’s Junior College, Japan

Abstract

This study compared three common vocabulary test formats, the Yes/No test, the Vocabulary Knowledge Scale (VKS), and the Vocabulary Levels Test (VLT), as measures of vocabulary difficulty. Vocabulary difficulty was defined as the item difficulty estimated through Item Response Theory (IRT) analysis. Three tests were given to 165 Japanese students, resulting in five measures of vocabulary knowledge and four measures of word difficulty. Analyses included item and score factor analysis, unidimensionality, local independence, and correlations. Results indicate that these are reliable tests. Tests of unidimensionality suggest these tests are essentially measuring one major latent trait, which can be interpreted as a factor for word knowledge. Strong correlations of the scores with each other provide evidence of concurrent validity, and for the interpretation of the scores as indicative of word knowledge. Correlations with other methods of estimating word difficulty, such as transformed frequency, length of word, or number of syllables, suggest that of these methods, the log of frequencies from very large corpora gives the best estimate of word difficulty. However, direct testing of vocabulary difficulty appears to, in the words of Kreuz (1987), “provide a better account of recognition latencies than do counts based on printed word frequency” (p. 159).

Publisher

SAGE Publications

Subject

Linguistics and Language,Social Sciences (miscellaneous),Language and Linguistics

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3