Mike Sleeman, John Everatt, Alison Arrow, Amanda Denston
{"title":"探索不同阅读难度的贫困读者的分布和认知概况:对识别和支持的影响","authors":"Mike Sleeman, John Everatt, Alison Arrow, Amanda Denston","doi":"10.1111/1467-9817.12454","DOIUrl":null,"url":null,"abstract":"<div>\n \n <section>\n \n <h3> Background</h3>\n \n <p>This study explored the impact of different cut-off points used to identify children with reading difficulties on the distribution of these children across the three poor reader groups predicted by the simple view of reading (dyslexia, specific comprehension difficulty and mixed difficulty). Additionally, the study investigated whether the cognitive profiles of these poor reader groups remained consistent across varying levels of reading impairment.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>This study included 209 primary school children from New Zealand, in Years 4–6 and aged 8–10 years, who experienced reading comprehension difficulties. Using a two-step cluster analysis, participants were assigned to one of three poor reader groups: dyslexia, specific comprehension difficulty (SCD) and mixed difficulty. We examined the distribution of children across these groups at eight levels of reading comprehension difficulty and conducted strengths and weaknesses profiles at four levels of reading ability across 14 tests that assessed a range of reading-related skills. Additionally, we compared the performance of children in these groups who performed above and below the 10th percentile on a reading comprehension assessment across these tests.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>The results showed that the proportion of children assigned to each group varied across the reading levels, with children at the lower end of the reading comprehension continuum more likely to exhibit the mixed difficulty profile than the SCD and dyslexia profiles. Overall, the research found that dyslexia, SCD and mixed difficulty profiles could be identified at all levels of reading comprehension difficulty, though weaknesses in their reading-related skills increased as reading comprehension difficulties also increased.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Our findings suggest that struggling readers demonstrate distinct cognitive profiles across all levels of reading ability. These results have important implications for identifying and supporting struggling readers, as well as enhancing our understanding of the underlying mechanisms of reading difficulties. The possible relationship between the results obtained in this study and tiered models of reading support is discussed.</p>\n </section>\n </div>","PeriodicalId":47611,"journal":{"name":"Journal of Research in Reading","volume":"47 4","pages":"431-453"},"PeriodicalIF":2.0000,"publicationDate":"2024-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1467-9817.12454","citationCount":"0","resultStr":"{\"title\":\"Exploring the distribution and cognitive profiles of poor readers across varying levels of reading difficulty: implications for identification and support\",\"authors\":\"Mike Sleeman, John Everatt, Alison Arrow, Amanda Denston\",\"doi\":\"10.1111/1467-9817.12454\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>This study explored the impact of different cut-off points used to identify children with reading difficulties on the distribution of these children across the three poor reader groups predicted by the simple view of reading (dyslexia, specific comprehension difficulty and mixed difficulty). Additionally, the study investigated whether the cognitive profiles of these poor reader groups remained consistent across varying levels of reading impairment.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>This study included 209 primary school children from New Zealand, in Years 4–6 and aged 8–10 years, who experienced reading comprehension difficulties. Using a two-step cluster analysis, participants were assigned to one of three poor reader groups: dyslexia, specific comprehension difficulty (SCD) and mixed difficulty. We examined the distribution of children across these groups at eight levels of reading comprehension difficulty and conducted strengths and weaknesses profiles at four levels of reading ability across 14 tests that assessed a range of reading-related skills. Additionally, we compared the performance of children in these groups who performed above and below the 10th percentile on a reading comprehension assessment across these tests.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>The results showed that the proportion of children assigned to each group varied across the reading levels, with children at the lower end of the reading comprehension continuum more likely to exhibit the mixed difficulty profile than the SCD and dyslexia profiles. Overall, the research found that dyslexia, SCD and mixed difficulty profiles could be identified at all levels of reading comprehension difficulty, though weaknesses in their reading-related skills increased as reading comprehension difficulties also increased.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>Our findings suggest that struggling readers demonstrate distinct cognitive profiles across all levels of reading ability. These results have important implications for identifying and supporting struggling readers, as well as enhancing our understanding of the underlying mechanisms of reading difficulties. The possible relationship between the results obtained in this study and tiered models of reading support is discussed.</p>\\n </section>\\n </div>\",\"PeriodicalId\":47611,\"journal\":{\"name\":\"Journal of Research in Reading\",\"volume\":\"47 4\",\"pages\":\"431-453\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2024-04-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1467-9817.12454\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Research in Reading\",\"FirstCategoryId\":\"95\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/1467-9817.12454\",\"RegionNum\":2,\"RegionCategory\":\"教育学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"EDUCATION & EDUCATIONAL RESEARCH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Research in Reading","FirstCategoryId":"95","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/1467-9817.12454","RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
Exploring the distribution and cognitive profiles of poor readers across varying levels of reading difficulty: implications for identification and support
Background
This study explored the impact of different cut-off points used to identify children with reading difficulties on the distribution of these children across the three poor reader groups predicted by the simple view of reading (dyslexia, specific comprehension difficulty and mixed difficulty). Additionally, the study investigated whether the cognitive profiles of these poor reader groups remained consistent across varying levels of reading impairment.
Methods
This study included 209 primary school children from New Zealand, in Years 4–6 and aged 8–10 years, who experienced reading comprehension difficulties. Using a two-step cluster analysis, participants were assigned to one of three poor reader groups: dyslexia, specific comprehension difficulty (SCD) and mixed difficulty. We examined the distribution of children across these groups at eight levels of reading comprehension difficulty and conducted strengths and weaknesses profiles at four levels of reading ability across 14 tests that assessed a range of reading-related skills. Additionally, we compared the performance of children in these groups who performed above and below the 10th percentile on a reading comprehension assessment across these tests.
Results
The results showed that the proportion of children assigned to each group varied across the reading levels, with children at the lower end of the reading comprehension continuum more likely to exhibit the mixed difficulty profile than the SCD and dyslexia profiles. Overall, the research found that dyslexia, SCD and mixed difficulty profiles could be identified at all levels of reading comprehension difficulty, though weaknesses in their reading-related skills increased as reading comprehension difficulties also increased.
Conclusions
Our findings suggest that struggling readers demonstrate distinct cognitive profiles across all levels of reading ability. These results have important implications for identifying and supporting struggling readers, as well as enhancing our understanding of the underlying mechanisms of reading difficulties. The possible relationship between the results obtained in this study and tiered models of reading support is discussed.
期刊介绍:
Journal of Research in Reading provides an international forum for researchers into literacy. It is a refereed journal, principally devoted to reports of empirical studies in reading and related fields, and to informed reviews of relevant literature. The journal welcomes papers researching issues related to the learning, teaching and use of literacy in a variety of contexts; papers on the history and development of literacy; papers about policy and strategy for literacy as related to children and adults. Journal of Research in Reading encourages papers within any research paradigm and from researchers in any relevant field such as anthropology, cultural studies, education, history of education, language and linguistics, philosophy, psychology and sociology.