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Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032729503 ISBN 13: 9781032729503
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Phonological processing abilities specifically include three distinct but related components: phonological awareness, phonological memory, and rapid naming. The knowledge of interrelationships between phonological processing abilities and reading development has led to an improved understanding of the nature of the reading process. However, numerous studies have produced inconsistent results regarding the independence of rapid naming in predicting L1 and L2 word reading. There is also controversy over the conceptualization of rapid naming. This book aims to rethink theoretically the nature of phonological processing abilities and their link to reading and examine empirically the relationship of phonological processing abilities to component skills of reading competence, with a focus on the relation of rapid naming and reading skills. The Lexical Quality Hypothesis and Model of Information Processing are introduced as the theoretical frameworks for analysis first, and then both the cross-sectional approach and the quasi-experimental approach are adopted to address the key research questions. The book concludes by discussing theoretical implications of the findings, contributions and limitations of the study, and suggestions for further research.
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Taschenbuch. Condition: Neu. Phonological Processing Abilities and Reading Competence | Theory and Evidence | Guangze Li | Taschenbuch | 266 S. | Englisch | 2010 | Peter Lang | EAN 9783034303941 | Verantwortliche Person für die EU: Lang, Peter GmbH, Gontardstr. 11, 10178 Berlin, r[dot]boehm-korff[at]peterlang[dot]com | Anbieter: preigu.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Phonological processing abilities specifically include three distinct but related components: phonological awareness, phonological memory, and rapid naming. The knowledge of interrelationships between phonological processing abilities and reading development has led to an improved understanding of the nature of the reading process. However, numerous studies have produced inconsistent results regarding the independence of rapid naming in predicting L1 and L2 word reading. There is also controversy over the conceptualization of rapid naming. This book aims to rethink theoretically the nature of phonological processing abilities and their link to reading and examine empirically the relationship of phonological processing abilities to component skills of reading competence, with a focus on the relation of rapid naming and reading skills. The Lexical Quality Hypothesis and Model of Information Processing are introduced as the theoretical frameworks for analysis first, and then both the cross-sectional approach and the quasi-experimental approach are adopted to address the key research questions. The book concludes by discussing theoretical implications of the findings, contributions and limitations of the study, and suggestions for further research. 266 pp. Englisch.
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Published by Springer Verlag GmbH, 2025
ISBN 10: 9819739896 ISBN 13: 9789819739899
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Aims to rethink theoretically the nature of phonological processing abilities and their link to reading and examine empirically the relationship of phonological processing abilities to component skills of reading competence, with a focus on the relation of .
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This Special Issue offers a systematical review and in-depth summary of the most recent advances in carbon neutrality technology and symmetry principles within the fields of power engineering and engineering thermophysics. The research papers gathered in this Special Issue cover a wide range of topics, including, but not limited to, aero-engine experimental equipment, the behavior of internal flow, engine control system design, the detailed analysis of engine performance, combustion emission control technology, improvements in the efficiency of electricity systems, and vehicle drag reduction measures. Furthermore, the studies featured here adopt a variety of research methods, such as numerical simulations, experimental research, and machine learning, reflecting a multidimensional approach to addressing complex engineering challenges. The overarching aim of this Special Issue is to offer fresh perspectives and innovative methodologies that can be applied to the pressing problems currently facing the industry, through delving deep into the optimization and refinement of crucial technologies. In presenting these latest outstanding research findings, we aspire to inspire further collaboration among scholars, researchers, and engineers to contribute to the sustainable growth and advancement of science, technology, and industry. We are devoted to providing new solutions that support global carbon neutrality goals and foster technological innovation for a greener future with this shared knowledge.