Advanced search
148
Views
1
CrossRef citations to date
0
Altmetric
Research Article

Reading comprehension among typically developing Swedish-speaking 10–12-year-olds: Examining subgroups differentiated in terms of language and decoding skills

, , &
Pages 189-193
Received 13 Jul 2009
Accepted 04 May 2010
Published online: 20 Aug 2010

Abstract

Based on data from 156 typically developing 10–12-year-olds from Sweden, reading comprehension skills were studied in three subgroups: those classified with specific poor word decoding skills (n = 10), those with specific poor language comprehension (n = 12), and those with mixed difficulties in word decoding and language comprehension (n = 11). The mixed poor group achieved significantly lower scores than both specific groups in reading comprehension, and was the only group displaying poor reading comprehension test results relative to the performance of the full sample. Results are indicative of the necessity of a combined effect of poor word decoding and language in reading comprehension difficulties for this group. Implications and limitations are discussed.

Declaration of interest: The authors report no conflicts of interest. The authors alone are responsible for the content and writing of the paper.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
EUR 51.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
EUR 141.00 Add to cart

Purchase access via tokens

  • Choose from packages of 10, 20, and 30 tokens
  • Can use on articles across multiple libraries & subject collections
  • Article PDFs can be downloaded & printed
From EUR 400.00
per package
Learn more
* Local tax will be added as applicable
 

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.