New Methods in Cognitive Psychology [Mīkstie vāki]

Edited by (Georgia Tech, USA), Edited by (Georgia Tech, USA)
  • Formāts: Paperback / softback, 292 pages, height x width: 229x152 mm, weight: 560 g, 46 Line drawings, black and white; 2 Tables, black and white
  • Sērija : Frontiers of Cognitive Psychology
  • Izdošanas datums: 05-Nov-2019
  • Izdevniecība: Routledge
  • ISBN-10: 1848726317
  • ISBN-13: 9781848726314
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  • Formāts: Paperback / softback, 292 pages, height x width: 229x152 mm, weight: 560 g, 46 Line drawings, black and white; 2 Tables, black and white
  • Sērija : Frontiers of Cognitive Psychology
  • Izdošanas datums: 05-Nov-2019
  • Izdevniecība: Routledge
  • ISBN-10: 1848726317
  • ISBN-13: 9781848726314
Citas grāmatas par šo tēmu:

This volume provides an overview of cutting-edge methods currently being used in cognitive psychology. These theoretical insights and methodological innovations are not as widely represented within the cognitive psychological literature as more traditional methods, but they are likely to appear with increasing frequency in coming years. As such, it is not a typical research methods volume that covers familiar ground, but it is in some ways speculative and also instructive to psychologists unfamiliar with the new methods.

This, however, fits nicely within the concept of the Frontiers in Cognitive Psychology series, which is to provide senior undergraduates, graduates and researchers with cutting-edge overviews of new and emerging topics, or the very latest in theory and research for the more established topics.

The first section deals with statistical methods that are well suited to the analysis of data commonly encountered in various subareas of cognitive psychology. While the analysis of variance and traditional null hypothesis testing remains the lingua franca of statistical methods, recent developments in statistical methods provide us with models that are often better suited to the structure of many datasets. Hierarchical and multilevel modeling allows us to use statistical and process models that accurately reflect the ubiquitous multilevel structure in cognitive psychological data. Longitudinal models and structural equation modeling of individual differences provide us with unique insights into how latent constructs might be related by examining variation within an individual across measurement occasion or variation across individuals. This ability to reveal dependencies between cognitive processes neatly compliment the theoretical insights provided by traditional experimental designs in cognitive psychology. The ability to cumulate evidence within experiments, across experiments, and across publications depends on the ability to combine our current knowledge with the results from new experiments. Bayesian statistical methods provide a structure within which to do this.

The second section addresses the emergence of new dependent variables and analysis for dealing with them. The availability of neuroscience data and its influence on cognitive theory accounts for a major change in the field of cognitive psychology and cognitive neuroscience over the past 20 years. While even an entire volume would be insufficient to capture the breadth of methods for the analysis of imaging data, there are a number of methods that hold particular promise for the development of process-oriented theories of cognitive processing. The first chapter reviews basic constraints imposed by anatomical structures and the surrogate measurement of brain activity via the hemodynamic response. Subsequent chapters deal with methods that provide specific insights into the relationship between brain structure, behavior, and cognitive processing.

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
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.