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Showing 1 to 15 of 55 results Save | Export
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Miao Li; Shuai Zhang; Yuting Liu; Catherine Snow; Huan Zhang; Bing Han – Educational Psychology Review, 2025
Students with or at risk of reading difficulties (RD) benefit from accurate early identification and intervention. Previous research has employed various decoding measures to screen students for RD, but the criteria for identification have been inconsistent. Assessing students with RD is especially challenging in English Language Learners (ELLs),…
Descriptors: Decoding (Reading), Identification, Reading Difficulties, English
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Maya Dybvig Joner – Early Childhood Education Journal, 2025
The purpose of this longitudinal study is to investigate the association between poor language skills in toddlers and later reading skills. In contrast to earlier research, the present study used an authentic assessment of language skills conducted by staff in early childhood education and care as a tool for early identification. The participants…
Descriptors: Foreign Countries, Toddlers, Children, Language Skills
Gabrielle J. Miller – ProQuest LLC, 2022
Childhood Apraxia of Speech (CAS) is a developmental speech sound disorder (SSD) notable for its severity and persistence of speech difficulties. A debate has surfaced historically about the cause of the speech and language deficits observed in the disorder. As children with CAS often present with comorbid language problems (i.e., receptive and…
Descriptors: Children, Adolescents, Speech Impairments, Literacy
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Mike Sleeman; John Everatt; Alison Arrow; Amanda Denston – Journal of Research in Reading, 2024
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…
Descriptors: Reading Difficulties, Identification, Predictor Variables, Dyslexia
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Camilla Nilvius; Linda Fälth; Heidi Selenius; Idor Svensson – Scandinavian Journal of Educational Research, 2025
Some Swedish schools do not identify and support students with reading difficulties efficiently enough during the first years at school. A longitudinal design was used to examine a multitiered RtI-model for identifying and supporting students at risk of reading difficulties in a Swedish school context. The results demonstrated that the RtI-model…
Descriptors: Foreign Countries, At Risk Students, Reading Difficulties, Elementary School Students
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Dixon, Chris; Oxley, Emily; Nash, Hannah; Gellert, Anna Steenberg – Journal of Learning Disabilities, 2023
Traditional static tests of reading and reading-related skills offer some ability to predict future reading performance, though such screeners may misclassify children with or at risk of reading disorder (RD). Dynamic assessment (DA) is an alternative approach that measures learning potential and may be less dependent on learning background. A…
Descriptors: Evaluation Methods, Identification, Reading Difficulties, Literature Reviews
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Wagner, Richard K.; Lonigan, Christopher J. – Reading Research Quarterly, 2023
Definitions of dyslexia typically make reference to unexpected poor reading, although how best to operationalize unexpected remains an issue. When operationally defined as reading below expectations based on the level of oral language, cases of unexpected poor reading make up fewer than half of cases of poor reading, and cases of unexpected poor…
Descriptors: Kindergarten, Young Children, Grade 1, Grade 2
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Wagner, Richard K.; Moxley, Jerad; Schatschneider, Chris; Zirps, Fotena A. – Scientific Studies of Reading, 2023
Purpose: Bayesian-based models for diagnosis are common in medicine but have not been incorporated into identification models for dyslexia. The purpose of the present study was to evaluate Bayesian identification models that included a broader set of predictors and that capitalized on recent developments in modeling the prevalence of dyslexia.…
Descriptors: Bayesian Statistics, Identification, Dyslexia, Models
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Sleeman, Mike; Everatt, John; Arrow, Alison; Denston, Amanda – New Zealand Journal of Educational Studies, 2022
Traditionally, the New Zealand Ministry of Education opposed the recognition of dyslexia. However, since 2007, the Ministry of Education's position has started to change, evidenced by the development of a working definition. In 2021 the Ministry of Education released Three Steps in Screening for Dyslexia (TSSD), an assessment protocol designed to…
Descriptors: Foreign Countries, Dyslexia, Students with Disabilities, Screening Tests
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Nergård-Nilssen, Trude; Friborg, Oddgeir – Assessment for Effective Intervention, 2022
This article describes the development and psychometric properties of a new Dyslexia Marker Test for Children (Dysmate-C). The test was designed to identify Norwegian students who need special instructional attention. The computerized test includes measures of letter knowledge, phoneme awareness, rapid automatized naming, working memory, decoding,…
Descriptors: Dyslexia, Test Construction, Test Validity, Alphabets
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Mekonnen, Abebayehu Messele – Educational Psychology in Practice, 2023
This exploratory study aimed at developing a dyslexia assessment tool in the Amharic language and to collect initial reliability and validity data on the tool designed to identify dyslexia in Grade 3. The developed battery consists of 10 tests. Data were collected from 121 Amharic-speaking children, aged 9-12 years. Evidence of construct validity…
Descriptors: Dyslexia, Screening Tests, Identification, Grade 3
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Klassen, Kimberly – Reading Matrix: An International Online Journal, 2021
This study investigated how well second language (L2) readers of English use context to identify proper names as such. It represents a first step in exploring a widely held assumption that L2 readers of English can easily identify proper names by their form and function. The study isolates the issue of function to investigate whether context alone…
Descriptors: English (Second Language), Second Language Learning, Japanese, Native Language
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Wagner, Richard K.; Zirps, Fotena A.; Edwards, Ashley A.; Wood, Sarah G.; Joyner, Rachel E.; Becker, Betsy J.; Liu, Guangyun; Beal, Bethany – Journal of Learning Disabilities, 2020
How prevalent is dyslexia? A definitive answer to this question has been elusive because of the continuous distribution of reading performance and predictors of dyslexia and because of the heterogeneous nature of samples of poor readers. Samples of poor readers are a mixture of individuals whose reading is consistent with or expected based on…
Descriptors: Dyslexia, Incidence, Severity (of Disability), Reading Difficulties
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Dale, Philip S.; von Stumm, Sophie; Selzam, Saskia; Hayiou-Thomas, Marianna E. – Journal of Speech, Language, and Hearing Research, 2020
Purpose: The ability to identify children early in development who are at substantial risk for language/literacy difficulties would have great benefit both for the children and for the educational and therapeutic institutions that serve them. Information that is relatively easily available prior to the age of 3 years, such as late talking, family…
Descriptors: Genetics, Scores, Risk, Prediction
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Zuk, Jennifer; Dunstan, Jade; Norton, Elizabeth; Yu, Xi; Ozernov-Palchik, Ola; Wang, Yingying; Hogan, Tiffany P.; Gabrieli, John D. E.; Gaab, Nadine – Developmental Science, 2021
Recent efforts have focused on screening methods to identify children at risk for dyslexia as early as preschool/kindergarten. Unfortunately, while low sensitivity leads to under-identification of at-risk children, low "specificity" can lead to over-identification, resulting in inaccurate allocation of limited educational resources. The…
Descriptors: Kindergarten, At Risk Persons, Screening Tests, Preschool Children
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