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Title: | Using time-based electroencephalography to investigate second language | Authors: | Dickson, DS Pelzl, E |
Issue Date: | 2023 | Source: | In K Morgan-Short, & JG van Hell (Eds.), The Routledge handbook of second language acquisition and neurolinguistics, p. 17-30. New York and London: Routledge, Taylor & Francis Group, 2023 | Abstract: | This chapter reviews the event-related potential (ERP) method and its application in second language research. The primary aim is to familiarize readers with the fundamental principles of the technique while highlighting the methodological approaches most frequently used for hypothesis testing in second language research. Practical design considerations, commonly used paradigms, benefits and limitations of ERP measures, and general guidance for interpretation of measures of interest are provided. Special attention will be given to critical measures including the mismatch negativity (MMN), N400, P600, and other waveforms of the ERP. The chapter concludes with a brief discussion of recent innovations and new directions. | Publisher: | Routledge | ISBN: | 978-1-032-04202-2 (hbk) 978-1-032-04205-3 (pbk) 978-1-003-19091-2 (ebk) |
DOI: | 10.4324/9781003190912-4 | Rights: | © 2023 selection and editorial matter, Kara Morgan-Short and Janet G. van Hell; individual chapters, the contributors The right of Kara Morgan-Short and Janet G. van Hell to be identified as the authors of the editorial material, and of the authors for their individual chapters, has been asserted in accordance with sections 77 and 78 of the Copyright, Designs and Patents Act 1988. All rights reserved. No part of this book may be reprinted or reproduced or utilised in any form or by any electronic, mechanical, or other means, now known or hereafter invented, including photocopying and recording, or in any information storage or retrieval system, without permission in writing from the publishers. |
Appears in Collections: | Book Chapter |
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Dickson_Using_Time-Based_Electroencephalography.pdf | Pre-Published version | 1.55 MB | Adobe PDF | View/Open |
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