Component skills affecting elementary students’ informational text comprehension

Component skills affecting elementary students’ informational text comprehension This study was conducted to examine the factors that influence informational text comprehension and to determine how these vary for students with higher and lower component skills. The sample included 177 students in grades 3–5. Regression analyses were used to predict informational text comprehension with decoding efficiency, vocabulary knowledge, prior knowledge, and intrinsic motivation. This model, that also included age and grade as control variables, explained 62.5 % of the variance in informational text comprehension. Each component skill explained unique variance, and vocabulary knowledge accounted for the largest portion. Next, we examined whether the factors contributed differently to informational text comprehension for students with higher and lower component skills. Overall, the regressions were better predictors for students with higher than those with lower component skills. For students with lower component skills, motivation and vocabulary were consistent predictors, whereas vocabulary and decoding efficiency were consistent predictors for students with higher component skills. The findings indicate multiple factors are important for informational text comprehension, particularly vocabulary, and research should examine this topic for different types of readers. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Reading and Writing Springer Journals

Component skills affecting elementary students’ informational text comprehension

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Publisher
Springer Netherlands
Copyright
Copyright © 2016 by Springer Science+Business Media Dordrecht
Subject
Linguistics; Language and Literature; Psycholinguistics; Education, general; Neurology
ISSN
0922-4777
eISSN
1573-0905
D.O.I.
10.1007/s11145-016-9629-9
Publisher site
See Article on Publisher Site

Abstract

This study was conducted to examine the factors that influence informational text comprehension and to determine how these vary for students with higher and lower component skills. The sample included 177 students in grades 3–5. Regression analyses were used to predict informational text comprehension with decoding efficiency, vocabulary knowledge, prior knowledge, and intrinsic motivation. This model, that also included age and grade as control variables, explained 62.5 % of the variance in informational text comprehension. Each component skill explained unique variance, and vocabulary knowledge accounted for the largest portion. Next, we examined whether the factors contributed differently to informational text comprehension for students with higher and lower component skills. Overall, the regressions were better predictors for students with higher than those with lower component skills. For students with lower component skills, motivation and vocabulary were consistent predictors, whereas vocabulary and decoding efficiency were consistent predictors for students with higher component skills. The findings indicate multiple factors are important for informational text comprehension, particularly vocabulary, and research should examine this topic for different types of readers.

Journal

Reading and WritingSpringer Journals

Published: Feb 2, 2016

References

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