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Assessment of emotion word vocabulary and its contribution to reading comprehension

Published online by Cambridge University Press:  05 January 2023

Tami Sabag-Shushan Open the ORCID record for Tami Sabag-Shushan [Opens in a new window] ,
Tami Katzir Open the ORCID record for Tami Katzir [Opens in a new window]  and
Anat Prior Open the ORCID record for Anat Prior [Opens in a new window]
Tami Sabag-Shushan*
Affiliation:
Edmond J. Safra Brain Research Center, Department of Learning Disabilities, University of Haifa, Haifa, Israel Department of Education, Ben-Gurion University of the Negev, Beer Sheva, Israel Center for the Study of Pedagogy – Research Practice Partnerships, Ben-Gurion University of the Negev, Beer Sheva, Israel
Tami Katzir
Affiliation:
Edmond J. Safra Brain Research Center, Department of Learning Disabilities, University of Haifa, Haifa, Israel
Anat Prior
Affiliation:
Edmond J. Safra Brain Research Center, Department of Learning Disabilities, University of Haifa, Haifa, Israel
*
*Corresponding author. Email: Tammisho@gmail.com
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Abstract

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.

Keywords

vocabularyemotion wordscurriculum-based assessmentreading comprehension
Type
Original Article
Information
Applied Psycholinguistics , Volume 44 , Issue 1 , January 2023 , pp. 29 - 50
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Copyright
© The Author(s), 2023. Published by Cambridge University Press

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