Predictive Variables of Developmental Dyslexia in Early Elementary School Children from a Longitudinal Study

Objectives: Early screening and intervention for developmental dyslexia in children is crucial. This study aimed to identify predictive variables for efficiently screening young elementary school children with developmental dyslexia by examining first and second graders. Methods: A longitudinal observation was conducted with 58 dyslexic children and 82 typically developing children at two time points: the first semester of first grade (T1) and the first semester of second grade (T2). Logistic regression was conducted using word reading, sentence reading, text reading fluency, word writing, and sentence writing as predictive variables. Results: In the first semester of first grade (T1), text reading fluency and word writing were identified as predictive variables, with odds ratios of 1.963 and 2.194, respectively. In the first semester of second grade (T2), word reading, sentence writing, and text reading fluency were confirmed as predictors, with odds ratios of 1.855, 1.913, and 3.938, respectively. Conclusion: This study found that text reading fluency was the most significant predictor for distinguishing between dyslexic and typical children in the early grades. Additionally, word writing was significant in first graders, while word decoding and sentence writing were significant in second graders. These findings may inform the development of effective screening tools for dyslexia in the future.

Authors

Publication Details

Journal
Eon'eo cheong'gag jang'ae yeon'gu/Communication sciences & disorders
Published
2024-12-31
DOI
https://doi.org/10.12963/csd.240072
Citations
1
Primary Topic
Early Childhood Education and Development
Type
article
Field-Weighted Citation Impact
2.10

Funders

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

Predictive Variables of Developmental Dyslexia in Early Elementary School Children from a Longitudinal Study

Soyeong Pae, Haerim Yu
1 citations
Eon'eo cheong'gag jang'ae yeon'gu/Communication sciences & disorders
Early Childhood Education and Development
2.10
article

Predictive Variables of Developmental Dyslexia in Early Elementary School Children from a Longitudinal Study

Soyeong Pae, Haerim Yu
article en
1 citations

Abstract

Objectives: Early screening and intervention for developmental dyslexia in children is crucial. This study aimed to identify predictive variables for efficiently screening young elementary school children with developmental dyslexia by examining first and second graders. Methods: A longitudinal observation was conducted with 58 dyslexic children and 82 typically developing children at two time points: the first semester of first grade (T1) and the first semester of second grade (T2). Logistic regression was conducted using word reading, sentence reading, text reading fluency, word writing, and sentence writing as predictive variables. Results: In the first semester of first grade (T1), text reading fluency and word writing were identified as predictive variables, with odds ratios of 1.963 and 2.194, respectively. In the first semester of second grade (T2), word reading, sentence writing, and text reading fluency were confirmed as predictors, with odds ratios of 1.855, 1.913, and 3.938, respectively. Conclusion: This study found that text reading fluency was the most significant predictor for distinguishing between dyslexic and typical children in the early grades. Additionally, word writing was significant in first graders, while word decoding and sentence writing were significant in second graders. These findings may inform the development of effective screening tools for dyslexia in the future.

Eon'eo cheong'gag jang'ae yeon'gu/Communication sciences & disordersVol. 29(4)
National Research Foundation, Ministry of Education, National Research Foundation of Korea
Quality Education
Openalex Percentile: Top 9%
Early Childhood Education and Development
2.10
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.