The contribution of emotion vocabulary to the reading comprehension of the text and the task

Abstract This study investigates the contributions of emotion vocabulary, non-emotion vocabulary, and reading fluency to various aspects of reading comprehension in monolingual Hebrew-speaking children. We examined these contributions across different levels of understanding (simple and complex) and text types (narrative and informative). The study included the Herut test, a novel vocabulary measure incorporating emotion words (ɑ = 0.81). A comprehensive battery of measures was administered to 960 fourth- and fifth-grade students from 21 schools. Multilevel modelling analyses revealed that emotion vocabulary consistently emerged as the strongest predictor across all reading comprehension tasks, surpassing both non-emotion vocabulary and reading fluency. Emotion vocabulary showed a particularly strong association with complex comprehension tasks and narrative texts. Significant classroom-level effects were also observed. These findings challenge existing models of reading comprehension and suggest the need for a more integrated approach that incorporates emotion vocabulary as a core component. The results have important implications for both theory and practice in literacy education.

Authors

Institutions

Publication Details

Journal
Reading and Writing
Published
2024-11-20
DOI
https://doi.org/10.1007/s11145-024-10609-5
Primary Topic
Reading and Literacy Development
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The contribution of emotion vocabulary to the reading comprehension of the text and the task

Yaniv Kanat‐Maymon, Tami Katzir, Tami Sabag-Shushan
Reading and Writing
Reading and Literacy Development
article

The contribution of emotion vocabulary to the reading comprehension of the text and the task

Yaniv Kanat‐Maymon, Tami Katzir, Tami Sabag-Shushan
article en

Abstract

Abstract This study investigates the contributions of emotion vocabulary, non-emotion vocabulary, and reading fluency to various aspects of reading comprehension in monolingual Hebrew-speaking children. We examined these contributions across different levels of understanding (simple and complex) and text types (narrative and informative). The study included the Herut test, a novel vocabulary measure incorporating emotion words (ɑ = 0.81). A comprehensive battery of measures was administered to 960 fourth- and fifth-grade students from 21 schools. Multilevel modelling analyses revealed that emotion vocabulary consistently emerged as the strongest predictor across all reading comprehension tasks, surpassing both non-emotion vocabulary and reading fluency. Emotion vocabulary showed a particularly strong association with complex comprehension tasks and narrative texts. Significant classroom-level effects were also observed. These findings challenge existing models of reading comprehension and suggest the need for a more integrated approach that incorporates emotion vocabulary as a core component. The results have important implications for both theory and practice in literacy education.

Reading and WritingVol. 38(9)
Reichman University (IL), University of Haifa (IL)
University of Haifa, Iran Science Elites Federation
Quality Education
Openalex Percentile: Top 74%
Reading and Literacy Development
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The contribution of emotion vocabulary to the reading comprehension of the text and the task — Yaniv Kanat‐Maymon, Tami Katzir, et al. · Reading and Writing (2024) | TGRS Research Map | TGRS