Additional information
by Daniel Spieler (Editor), Eric Schumacher (Editor)
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.
Author Biography
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.
