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| Autor/inn/en | Joyner, Rachel E.; Wagner, Richard K. |
|---|---|
| Titel | Co-Occurrence of Reading Disabilities and Math Disabilities: A Meta-Analysis |
| Quelle | In: Scientific Studies of Reading, 24 (2020) 1, S.14-22 (9 Seiten)Infoseite zur Zeitschrift
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| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 1088-8438 |
| DOI | 10.1080/10888438.2019.1593420 |
| Schlagwörter | Meta Analysis; Reading Difficulties; Mathematics; Learning Disabilities; Error of Measurement; Prediction; Students with Disabilities; Risk; Identification; Databases; Comorbidity |
| Abstract | Despite the importance of identifying individuals with reading disabilities, existing operational definitions of reading disability do not result in reliable identification. A large part of the problem arises from measurement error when a cut-point is imposed on a continuous distribution, especially for low base-rate conditions. One way to reduce measurement error is to include additional predictors in reading disability models. The present study examined co-occurring math disability as a possible additional criterion for predicting reading disability. Meta-analysis was used to examine the probability of individuals with reading disability also having a comorbid math disability. The main result was an average weighted odds ratio of 2.12, 95% confidence interval [1.76, 2.55], indicating that students with a math disability are just over 2 times more likely to also have a reading disability than those without a math disability. The purpose of the present study was to use meta-analysis to examine the extent to which the presence of math disability was associated with greater risk of reading disability. (ERIC). |
| Anmerkungen | Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2024/1/01 |
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