The Reading Efficiency Model An Extension of the Componential Model of Reading
The purpose of the present study was twofold: First, the authors investigated if an extended version of the component model of reading (CMR; Model 2), including decoding rate and oral vocabulary comprehension, accounted for more of the variance in reading comprehension than the commonly used measure...
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Published in | Journal of learning disabilities Vol. 45; no. 5; pp. 467 - 479 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Los Angeles, CA
SAGE Publications
01.09.2012
SAGE Publications and Hammill Institute on Disabilities Sage Publications SAGE PUBLICATIONS, INC |
Subjects | |
Online Access | Get full text |
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Summary: | The purpose of the present study was twofold: First, the authors investigated if an extended version of the component model of reading (CMR; Model 2), including decoding rate and oral vocabulary comprehension, accounted for more of the variance in reading comprehension than the commonly used measures of the cognitive factors in the CMR. Second, the authors investigated the fitness of a new model, titled the reading efficiency model (REM), which deviates from earlier models regarding how reading is defined. In the study, 780 Norwegian students from Grades 6 and 10 were recruited. Here, hierarchical regression analyses showed that the extended model did not account for more of the variance in reading comprehension than the traditional CMR model (Model 1). In the second part of the study the authors used structural equation modeling (SEM) to explore the REM. The results showed that the REM explained an overall larger amount of variance in reading ability, compared to Model 1 and Model 2. This result is probably the result of the new definition of reading applied in the REM. The authors believe their model will more fully reflects students’ differentiated reading skills by including reading fluency in the definition of reading. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0022-2194 1538-4780 |
DOI: | 10.1177/0022219411432688 |