Search results for ""Author Marc Brysbaert""

Written by an experienced teacher of statistics, the new edition of this accessible yet authoritative textbook covers all areas of undergraduate statistics and provides a firm foundation upon which students can build their own knowledge. Featuring new chapters on Bayesian and multiple regression analysis, this book gives students a working understanding of how to conduct reliable and methodical research using statistics. Brysbaert illustrates the key concepts using examples from psychological research, with clear formulas and explanations for calculations. With helpful chapter-by-chapter guidance for carrying out tests using SPSS, as well as coverage of jamovi and JASP software, this book aims to develop students’ confidence in statistical analysis, and to take the fear out of the topic. It offers an easily navigable layout filled with features that help learners to avoid common pitfalls and check their understanding along the way. This engaging and informative guide is essential reading for undergraduate psychology students taking courses in research methods and statistics. New to this Edition: - Chapters on Bayesian analysis, mixed-effects models, and multiple regression analysis - Coverage of jamovi and JASP, two free statistical packages

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Is it possible to learn something without being aware of it? How does emotion influence the way we think? How can we improve our memory?Fundamentals of Cognition, Fourth Edition, provides a basic, reader-friendly introduction to the key cognitive processes we use to interact successfully with the world around us. Our abilities in attention, perception, learning, memory, language, problem solving, thinking, and reasoning are all vitally important in enabling us to cope with everyday life. Understanding these processes through the study of cognitive psychology is essential for understanding human behaviour.This edition has been thoroughly updated and revised with an emphasis on making it even more accessible to introductory-level students. This new edition includes: updated references for readers who are looking for more detailed information; checks to make sure that statements made in the previous version are still valid, given recent findings on replication issues; extended research activities and "In the Real World" case studies to make it easy for students to engage with the material; real-world topics such as discussions of attention-deficit/hyperactivity disorder, the reading problems of individuals with dyslexia, why magic tricks work, and why we cannot remember the Apple logo accurately; an extensive set of "Key term" definitions; supporting Instructor and Student Resources containing multiple choice questions, flashcards, simulations of key experiments, and instructor resources. The book provides a perfect balance between traditional approaches to cognition and cutting-edge cognitive neuroscience and cognitive neuropsychology. Covering all the key topics within cognition, this comprehensive overview is essential reading for all students interested in psychology.

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Computational modeling has tremendously advanced our understanding of the processes involved in normal and impaired reading. While previous research has mainly focused on simulating reading aloud of monosyllabic words in English, the present special issue highlights some new directions in the field of word recognition and reading aloud. These new lines of research include the learning orthographic and phonological representations in both supervised and unsupervised networks, and the extension of existing models to multi-syllabic word processing both in English and in other languages, such as Italian, French and German. The special issue also covers hotly debated issues concerning the front-end of the reading process, the neural plausibility of current models of word recognition and naming, the viability of Bayesian approaches to understanding reading, as well as the long-standing opposition between rule-based and statistical learning. Finally, this special issue includes simulation work on novel benchmark phenomena, such as the effects of fast phonology, masked onset priming and syllabic neighbourhood. Altogether, the present special issue provides a critical analysis and synthesis of current computational models of reading and cutting edge research concerning the next generation of computational models of word recognition and reading aloud.

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