This book provides an overview of cutting-edge methods currently being used in cognitive psychology, which are likely to appear with increasing frequency in coming years.
Once built around univariate parametric statistics, cognitive psychology courses now seem deficient without some contact with methods for signal processing, spatial statistics, and machine learning. There are also important changes in analyses of behavioral data (e.g., hierarchical modeling and Bayesian inference) and there is the obvious change wrought by the advancement of functional imaging. This book begins by discussing the evidence of this rapid change, for example the movement between using traditional analyses of variance to multi-level mixed models, in psycholinguistics. It then goes on to discuss the methods for analyses of physiological measurements, and how these methods provide insights into cognitive processing.
New Methods in Cognitive Psychology provides senior undergraduates, graduates and researchers with cutting-edge overviews of new and emerging topics, and the very latest in theory and research for the more established topics.
Reihe
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Illustrationen
46 s/w Zeichnungen, 2 s/w Tabellen
2 Tables, black and white; 46 Line drawings, black and white
Maße
Höhe: 235 mm
Breite: 157 mm
Dicke: 21 mm
Gewicht
ISBN-13
978-1-84872-630-7 (9781848726307)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Daniel Spieler is Associate Professor of Psychology at the Georgia Institute of Technology. He has researched in memory, aging, and visual perception, and his main teaching areas are introductory cognitive psychology and statistics.
Eric Schumacher is Professor of Psychology at the Georgia Institute of Technology. His research investigates both the cognitive and the neuroscientific aspects of the processes and representations required to carry out flexible behavior across a wide variety of domains.
Herausgeber*in
Georgia Tech, USA
Georgia Tech, USA
Introduction
Chapter 1 - An Introduction to Mixed Models for Experimental Psychology, by Henrik Singmann and David Kellen
Chapter 2 - Bayesian Hierarchical Models In Psychological Science: A Tutorial, by Jeffrey N. Rouder and Jordan M. Province
Chapter 3 - The Megastudy Paradigm: A New Direction for Behavioral Research in Cognitive Science, by Michael J. Cortese
Chapter 4 - How to Test Cognitive Theory with fMRI, by Christopher H. Chatham and David Badre
Chapter 5 - Mapping Functional Connectivity and Network Dynamics with Resting State MRI, by Shella D. Keilholz, Garth J. Thompson, Matthew E. Magnuson and Wen-Ju Pan
Chapter 6 - Multivariate neuroimaging analysis: new methods for finding linear relationships in the nonlinear brain, by Thomas Naselaris
Chapter 7 - Electrophysiological phase synchrony in distributed brain networks as a promising tool in the study of cognition, by Irene van de Vijver & Michael X Cohen
Chapter 8 - A tutorial for transcranial magnetic and electrical stimulations in cognitive psychology, by Jacqueline M. Thompson & Roi Cohen Kadosh
