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Statistical and Process Models for Cognitive Neuroscience and Aging
addresses methodological techniques for researching cognitive
impairment, Alzheimer's disease, the biophysics and structure of
the nervous system, the physiology of memory, and the analysis of
EEG data. Each chapter, written by an expert in the area,
provides a carefully crafted introduction to the subject at hand
and the key methodological challenges facing that area of study.
Although the chapters describe sophisticated techniques, each is
accessible to scientists from a variety of fields. The editors'
goal is to expose researchers working on a range of issues
associated with cognitive aging to a variety of approaches and
technologies, in an effort to cross disciplinary boundaries and
further research in cognitive aging.
Intended for researchers in cognitive, behavioral, and
computational neuroscience, psychometrics, gerontology, cognitive,
health, and developmental psychology, radiology, and medical
research, this book also serves as a text for graduate level
courses in cognitive science and cognitive aging.
Regression Analysis for Social Sciences presents methods of
regression analysis in an accessible way, with each method having
illustrations and examples. A broad spectrum of methods are
included: multiple categorical predictors, methods for curvilinear
regression, and methods for symmetric regression. This book can be
used for courses in regression analysis at the advanced
undergraduate and beginning graduate level in the social and
behavioral sciences. Most of the techniques are explained
step-by-step enabling students and researchers to analyze their own
data. Examples include data from the social and behavioral sciences
as well as biology, making the book useful for readers with
biological and biometrical backgrounds. Sample command and result
files for SYSTAT are included in the text.
Key Features
* Presents accessible methods of regression analysis
* Includes a broad spectrum of methods
* Techniques are explained step-by-step
* Provides sample command and result files for SYSTAT
"Statistical and Process Models for Cognitive Neuroscience and
Aging "addresses methodological techniques for researching
cognitive impairment, Alzheimer's disease, the biophysics and
structure of the nervous system, the physiology of memory, and the
analysis of EEG data. Each chapter, written by the expert in the
area, provides a carefully crafted introduction to the subject at
hand and the key methodological challenges facing that area of
study.
Although the chapters describe sophisticated techniques, each is
accessible to scientists from a variety of fields. The editors'
goal is to expose researchers working on a range of issues
associated with cognitive aging to a variety of approaches and
technologies, in an effort to cross disciplinary boundaries and
further research in cognitive aging.
Intended for researchers in cognitive, behavioral, and
computational neuroscience, psychometrics, gerontology, cognitive,
health, and developmental psychology, radiology, and medical
research, this book also serves as a text for graduate level
courses in cognitive science and cognitive aging.
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