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Titlebook: Learning Disabilities in Older Adolescents and Adults; Clinical Utility of Lynda J. Katz,Gerald Goldstein,Sue R. Beers Book 2001 Springer

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發(fā)表于 2025-3-21 18:48:26 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Learning Disabilities in Older Adolescents and Adults
副標(biāo)題Clinical Utility of
編輯Lynda J. Katz,Gerald Goldstein,Sue R. Beers
視頻videohttp://file.papertrans.cn/583/582723/582723.mp4
叢書名稱Critical Issues in Neuropsychology
圖書封面Titlebook: Learning Disabilities in Older Adolescents and Adults; Clinical Utility of  Lynda J. Katz,Gerald Goldstein,Sue R. Beers Book 2001 Springer
描述Learning disabilities is a subject that is usually associatedwith school-aged children where the research and interventionstrategies are well known. Much less research has been done forassessing and diagnosing older adolescents and adults in this area.This work is an effort to provide a comprehensive review of what weknow about certain of these disorders, specifically: .. language-based learning disorders; .. nonverbal learningdisorders; .. high-functioning autism; ..attention-deficit/hyperactivity disorder; and .. mathematicsdisorders .. and how they manifest themselves in the later yearsof development and maturity. A chapter addresses each one of thesedisorders of learning. Included in each chapter is a discussion ofhistorical perspectives, definitions and diagnostic criteria,incidence and prevalence data, comorbidity studies, pertinent researchfrom all relevant fields of study, reasonable accommodations inacademia as well as the workplace, and outcome data. This much-neededreview will be of interest to clinicians in neuropsychology,educational psychology, and psychopharmacology.
出版日期Book 2001
關(guān)鍵詞Psychopharmacology; attention; attention deficit hyperactivity disorder (ADHD); hyperactivity; intervent
版次1
doihttps://doi.org/10.1007/b108001
isbn_softcover978-1-4419-3367-6
isbn_ebook978-0-306-47589-4Series ISSN 1572-4565
issn_series 1572-4565
copyrightSpringer Science+Business Media New York 2001
The information of publication is updating

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ement of - certainty in Knowledge-Based Systems, IPMU, is organized every two years with the aim of bringing together scientists working on methods for the management of uncertainty and aggregation of information in intelligent systems. Since 1986, this conference has been providing a forum for the
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