Co-published with the CPCAB, this highly practical book is a comprehensive training guide based around the 7 areas that students have to evidence in order to become accredited. It offers a firm foundation of knowledge and skills, looks at practice issues, helps with study, and also answers the most common questions students have when training.
Co-published with the CPCAB, this highly practical book is a comprehensive training guide based around the 7 areas that students have to evidence in order to become accredited. It offers a firm foundation of knowledge and skills, looks at practice issues, helps with study, and also answers the most common questions students have when training.
Are you daunted by the prospect of doing a presentation or just keen to improve your presentation skills? This book gives you a detailed guide to the preparation and delivery of both individual and group presentations. It takes you through all the practical stages necessary to complete a presentation and obtain excellent marks. Key features ......
Are you daunted by the prospect of doing a presentation or just keen to improve your presentation skills? This book gives you a detailed guide to the preparation and delivery of both individual and group presentations. It takes you through all the practical stages necessary to complete a presentation and obtain excellent marks. Key features ......
The authors take an applied approach and every chapter contains a variety of practical examples from real research. Readers are encouraged to reflect on their own practice at every step, meaning that the book remains extremely relevant throughout. It will be invaluable for all students who are doing a dissertation or taking a research methods module in education, the social sciences, business and health.
The authors take an applied approach and every chapter contains a variety of practical examples from real research. Readers are encouraged to reflect on their own practice at every step, meaning that the book remains extremely relevant throughout. It will be invaluable for all students who are doing a dissertation or taking a research methods module in education, the social sciences, business and health.
Written in a comprehensive and accessible style, A Student's Guide to Cognitive Neuropsychology guides readers through the traditional areas of cognitive neuropsychology and beyond, applying core theoretical principles to real-world scenarios.
Are all brains the same? What causes amnesia? And why did a man mistake his psychologist for George Michael? Find out the answers to these questions, and much more, in A Student's Guide to Cognitive Neuropsychology. Written in an informative and accessible style, this comprehensive text guides you through the traditional areas of cognitive neuropsychology and beyond, applying core theoretical principles to real-world scenarios. Covering topics from memory to facial recognition, and from language to neglect, this textbook is essential reading for any student of cognitive neuropsychology. A Student's Guide to Cognitive Neuropsychology also includes features to help enhance your understanding of cognitive neuropsychology, such as: - Important researcher spotlights - Key research studies - Questions for reflection - Further reading Ashok Jansari is Senior Lecturer in Cognitive Neuropsychology at Goldsmiths, University of London.
Supported by a wealth of learning features, exercises, and visual elements as well as online video tutorials and interactive simulations, this book is the first student-focused introduction to Bayesian statistics. Without sacrificing technical integrity for the sake of simplicity, the author draws upon accessible, student-friendly language to provide approachable instruction perfectly aimed at statistics and Bayesian newcomers. Through a logical structure that introduces and builds upon key concepts in a gradual way and slowly acclimatizes students to using R and Stan software, the book covers: An introduction to probability and Bayesian inference Understanding Bayes' rule Nuts and bolts of Bayesian analytic methods Computational Bayes and real-world Bayesian analysis Regression analysis and hierarchical methods This unique guide will help students develop the statistical confidence and skills to put the Bayesian formula into practice, from the basic concepts of statistical inference to complex applications of analyses.
