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Assessment of emotion word vocabulary and its contribution to reading comprehension
Applied Psycholinguistics ( IF 1.828 ) Pub Date : 2023-01-05 , DOI: 10.1017/s0142716422000431
Tami Sabag-Shushan , Tami Katzir , Anat Prior

The contribution of vocabulary to academic achievements in general and to reading comprehension (RC) in particular has led to the development of various tools for vocabulary assessment. However, existing assessments do not distinguish between word types, and specifically, they do not target emotion vocabulary, despite growing recognition of the importance of emotional processing to RC ability. In this study, we first describe the development of a novel vocabulary assessment in Hebrew – Herut – and examine its validity and sensitivity. This assessment includes both emotion words and nonemotion words, and is based on curriculum. Next, we studied the contribution of the emotion and nonemotion words subscales of the Herut to RC in a sample of 1,333 Hebrew-speaking fourth- and fifth-grade students. Both types of vocabulary knowledge made significant independent contributions to RC, and the contribution of emotion words was slightly larger than that of nonemotion words. Finally, the Herut measure was found to be more predictive of RC than a general vocabulary measure in Hebrew.

中文翻译:

情感词词汇的评估及其对阅读理解的贡献

词汇对一般学术成就的贡献,特别是对阅读理解 (RC) 的贡献,导致了各种词汇评估工具的开发。然而,现有的评估不区分单词类型,具体来说,它们不针对情感词汇,尽管人们越来越认识到情感处理对 RC 能力的重要性。在这项研究中,我们首先描述了一种新的希伯来语词汇评估的发展——Herut——并检验了它的有效性和敏感性。该评估包括情感词和非情感词,并以课程为基础。接下来,我们以 1,333 名说希伯来语的四年级和五年级学生为样本,研究了 Herut 的情感和非情感词分量表对 RC 的贡献。两种类型的词汇知识都对 RC 做出了显着的独立贡献,情感词的贡献略大于非情感词。最后,发现 Herut 量度比希伯来语中的一般词汇量度更能预测 RC。
更新日期:2023-01-05
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