Statistical Methods In Neuropsychology

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Statistical Methods in Neuropsychology

Author : David Aaron Maroof
Publisher : Springer Science & Business Media
Page : 103 pages
File Size : 45,7 Mb
Release : 2012-06-12
Category : Psychology
ISBN : 9781461434177

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Statistical Methods in Neuropsychology by David Aaron Maroof Pdf

This book describes appropriate statistical models that are commonly utilized in neuropsychology. The book discusses such issues as developing normative data for neuropsychological measures, assessing the validity of neuropsychological tests, and quantifying change “over time” through longitudinal analyses. The rationale for and allure of the volume is the fact that there are no publications that dovetail the two subdisciplines of applied statistics and neuropsychology. The overall objective of this book is to provide a pragmatic and concrete source for applying methodological and statistical techniques in research studies whose emphasis includes neuropsychology. Since there are a plethora of technique to arrive at similar answers, each method with its strengths and weaknesses will be delineated. The beauty of the book will be that it will hopefully demystify commonly encountered issues faced with researchers. More specifically, it will provide a “how to do it” approach.

Prediction in Forensic and Neuropsychology

Author : Ronald D. Franklin
Publisher : Psychology Press
Page : 308 pages
File Size : 45,9 Mb
Release : 2003-01-30
Category : Medical
ISBN : 9781135669713

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Prediction in Forensic and Neuropsychology by Ronald D. Franklin Pdf

This bk integrates clinical experience w/the latest methods of statistical analysis to provide all who have professional stakes in the outcomes of assessment w/better methods of hypothesis-testing that will lead to more valid & reliable assessments of pa

Methodological and Biostatistical Foundations of Clinical Neuropsychology and Medical and Health Disciplines

Author : Domenic V Cicchetti,Byron P Rourke
Publisher : CRC Press
Page : 830 pages
File Size : 46,6 Mb
Release : 2004-06-01
Category : Psychology
ISBN : 9026519648

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Methodological and Biostatistical Foundations of Clinical Neuropsychology and Medical and Health Disciplines by Domenic V Cicchetti,Byron P Rourke Pdf

The goal of the second edition is to introduce the advance undergraduate or graduate student and more seasoned research scientists in any of the allied health sciences to a wide array of methodological and biostatistical issues, as they occur in the context of both published and ongoing research. Some sixty-four articles published between 1992 and 2002 have been selected from the Journal of Clinical and Experimental Neuropsychology, The Clinical Neuropsychologist, and Child Neuropsychology and reproduced in this volume. While building upon a working knowledge and understanding of the basic univariate data analytic techniques and the research designs to which they apply, the approach to the more complex multivariate techniques is presented primarily at a conceptual and essentially non-mathematical level. While the issue of the complexity of some of the more recent and standard approaches to data analytic strategies, and their important role to specific research designs is important to convey, there remains an even more fundamental issue of whether the results of correctly applied data analytic strategies make any practical or clinical sense, above and beyond their having reached levels of "statistical significance". These critical issues are addressed throughout various commentaries that the editors make at appropriate points in the text. The volume will appeal to advanced undergraduate and graduate students as well as clinical neuropsychologists and research scientists in any of the allied health disciplines.

Experimental Psychology

Author : R.B. Burns,C.B. Dobson
Publisher : Springer Science & Business Media
Page : 450 pages
File Size : 44,7 Mb
Release : 2012-12-06
Category : Psychology
ISBN : 9789401172417

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Experimental Psychology by R.B. Burns,C.B. Dobson Pdf

This book has been written to meet several needs. Firstly there is a need for a book which integrates statistics, research design, ex periments and report writing so that none is learned in a vacuum, as commonly is the case, isolated from the others. The aim is to make the student an active learner encouraged to carry out experiments, so ex periencing and understanding the design problems and statistical analyses in the practical context where he can see exactly what he is doing and why. The aim is that by the end of the book, the student should be able to evaluate the research of others, to define a problem, formulate a hypothesis about it, design and carry out the experiment, apply the correct statistics, discuss the results and implications, and write it all up in a logical and sensible fashion. The principle is that old pedagogic one of learning by doing. Secondly, there is a need for an introductory text on statistics, research design and experimental work for the many students who meet psychology and social science for the first time. The initiate in behavioural science needs to gain a conceptual understanding of statistical procedures and design techniques in order to carry out his own investigations and to understand and evaluate constructively the investigations of others. However, experience has shown us that many students (and even some fellow teachers) are somewhat reluctant to study this area as they believe it is difficult and involves mathematics.

Statistical Techniques for Neuroscientists

Author : Young K. Truong,Mechelle M. Lewis
Publisher : CRC Press
Page : 349 pages
File Size : 42,8 Mb
Release : 2016-10-04
Category : Mathematics
ISBN : 9781315356754

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Statistical Techniques for Neuroscientists by Young K. Truong,Mechelle M. Lewis Pdf

Statistical Techniques for Neuroscientists introduces new and useful methods for data analysis involving simultaneous recording of neuron or large cluster (brain region) neuron activity. The statistical estimation and tests of hypotheses are based on the likelihood principle derived from stationary point processes and time series. Algorithms and software development are given in each chapter to reproduce the computer simulated results described therein. The book examines current statistical methods for solving emerging problems in neuroscience. These methods have been applied to data involving multichannel neural spike train, spike sorting, blind source separation, functional and effective neural connectivity, spatiotemporal modeling, and multimodal neuroimaging techniques. The author provides an overview of various methods being applied to specific research areas of neuroscience, emphasizing statistical principles and their software. The book includes examples and experimental data so that readers can understand the principles and master the methods. The first part of the book deals with the traditional multivariate time series analysis applied to the context of multichannel spike trains and fMRI using respectively the probability structures or likelihood associated with time-to-fire and discrete Fourier transforms (DFT) of point processes. The second part introduces a relatively new form of statistical spatiotemporal modeling for fMRI and EEG data analysis. In addition to neural scientists and statisticians, anyone wishing to employ intense computing methods to extract important features and information directly from data rather than relying heavily on models built on leading cases such as linear regression or Gaussian processes will find this book extremely helpful.

Parsing Psychology: Statistical and Computational Methods using Physiological, Behavioral, Social, and Cognitive Data

Author : Pietro Cipresso,Jason C. Immekus
Publisher : Frontiers Media SA
Page : 218 pages
File Size : 41,9 Mb
Release : 2020-02-14
Category : Electronic
ISBN : 9782889633692

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Parsing Psychology: Statistical and Computational Methods using Physiological, Behavioral, Social, and Cognitive Data by Pietro Cipresso,Jason C. Immekus Pdf

This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.

Cluster Analysis in Neuropsychological Research

Author : Daniel N. Allen,Gerald Goldstein
Publisher : Springer Science & Business Media
Page : 136 pages
File Size : 44,7 Mb
Release : 2014-07-08
Category : Psychology
ISBN : 9781461467441

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Cluster Analysis in Neuropsychological Research by Daniel N. Allen,Gerald Goldstein Pdf

​​ ​Cluster analysis is a multivariate classification technique that allows for identification of homogenous subgroups within diverse samples based on shared characteristics. In recent years, cluster analysis has been increasingly applied to psychological and neuropsychological variables to address a number of empirical questions. This book provides an overview of cluster analysis, including statistical and methodological considerations in its application to neurobehavioral variables. First, an introduction to cluster analysis is presented that emphasizes issues of relevance to neuropsychological research, including controversies surrounding it use. Cluster analysis is then applied to clinical disorders that do not have an associated prototypical neuropsychological profile, including traumatic brain injury, schizophrenia, and health problems associated with homelessness. In a second application, cluster analysis is used to investigate the course of normal memory development. Finally, cluster analysis is applied to classification of brain injury severity in children and adolescents who sustained traumatic brain injury.

Analysis of Neural Data

Author : Robert E. Kass,Uri T. Eden,Emery N. Brown
Publisher : Springer
Page : 663 pages
File Size : 45,9 Mb
Release : 2014-07-08
Category : Medical
ISBN : 9781461496021

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Analysis of Neural Data by Robert E. Kass,Uri T. Eden,Emery N. Brown Pdf

Continual improvements in data collection and processing have had a huge impact on brain research, producing data sets that are often large and complicated. By emphasizing a few fundamental principles, and a handful of ubiquitous techniques, Analysis of Neural Data provides a unified treatment of analytical methods that have become essential for contemporary researchers. Throughout the book ideas are illustrated with more than 100 examples drawn from the literature, ranging from electrophysiology, to neuroimaging, to behavior. By demonstrating the commonality among various statistical approaches the authors provide the crucial tools for gaining knowledge from diverse types of data. Aimed at experimentalists with only high-school level mathematics, as well as computationally-oriented neuroscientists who have limited familiarity with statistics, Analysis of Neural Data serves as both a self-contained introduction and a reference work.

Experimental Methods in Neuropsychology

Author : Kenneth Hugdahl
Publisher : Springer Science & Business Media
Page : 235 pages
File Size : 48,9 Mb
Release : 2012-12-06
Category : Psychology
ISBN : 9781461511632

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Experimental Methods in Neuropsychology by Kenneth Hugdahl Pdf

The present volume aims at presenting a selection of new methods and techniques that may have value for clinical neuropsychology. There is an increasing interest among clinical neuropsychologists regarding new developments in cognitive neuroscience and experimental psychology. This book presents an updated view of recent methodological developments in experimental psychology and clinical neuroscience.

Statistical Methods in Epilepsy

Author : Sharon Chiang,Vikram Rao,Marina Vannucci
Publisher : CRC Press
Page : 489 pages
File Size : 41,8 Mb
Release : 2024-03-25
Category : Medical
ISBN : 9781003829317

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Statistical Methods in Epilepsy by Sharon Chiang,Vikram Rao,Marina Vannucci Pdf

Epilepsy research promises new treatments and insights into brain function, but statistics and machine learning are paramount for extracting meaning from data and enabling discovery. Statistical Methods in Epilepsy provides a comprehensive introduction to statistical methods used in epilepsy research. Written in a clear, accessible style by leading authorities, this textbook demystifies introductory and advanced statistical methods, providing a practical roadmap that will be invaluable for learners and experts alike. Topics include a primer on version control and coding, pre-processing of imaging and electrophysiological data, hypothesis testing, generalized linear models, survival analysis, network analysis, time-series analysis, spectral analysis, spatial statistics, unsupervised and supervised learning, natural language processing, prospective trial design, pharmacokinetic and pharmacodynamic modeling, and randomized clinical trials. Features: Provides a comprehensive introduction to statistical methods employed in epilepsy research Divided into four parts: Basic Processing Methods for Data Analysis; Statistical Models for Epilepsy Data Types; Machine Learning Methods; and Clinical Studies Covers methodological and practical aspects, as well as worked-out examples with R and Python code provided in the online supplement Includes contributions by experts in the field The handbook targets clinicians, graduate students, medical students, and researchers who seek to conduct quantitative epilepsy research. The topics covered extend broadly to quantitative research in other neurological specialties and provide a valuable reference for the field of neurology.

Reliability and Validity in Neuropsychological Assessment

Author : Michael D. Franzen
Publisher : Springer Science & Business Media
Page : 463 pages
File Size : 46,7 Mb
Release : 2013-11-21
Category : Psychology
ISBN : 9781475732245

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Reliability and Validity in Neuropsychological Assessment by Michael D. Franzen Pdf

No other book reviews clinical neuropsychological assessment from an empirical psychometric perspective. In this completely revised and updated 2nd edition, the concepts and methods of psychometric neuropsychology are presented as a framework by which to evaluate current instruments. Newer methodologies and statistical techniques are discussed, such as meta analysis, effect size, confirming factor analysis and ecological validity. The explosion of research in this area since the publication of the first edition in 1989, has been incorporated, including a greatly expanded chapter on child assessment instruments. This volume is a must for the bookshelf of every clinical neuropsychologist as well as researchers and students. Anyone conducting forensic evaluations will especially find useful the information on reliability and validity when preparing for court appearances.

Statistics in Psychology Using R and SPSS

Author : Dieter Rasch,Klaus Kubinger,Takuya Yanagida
Publisher : John Wiley & Sons
Page : 565 pages
File Size : 43,6 Mb
Release : 2011-10-27
Category : Psychology
ISBN : 9781119952022

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Statistics in Psychology Using R and SPSS by Dieter Rasch,Klaus Kubinger,Takuya Yanagida Pdf

Statistics in Psychology covers all statistical methods needed in education and research in psychology. This book looks at research questions when planning data sampling, that is to design the intended study and to calculate the sample sizes in advance. In other words, no analysis applies if the minimum size is not determined in order to fulfil certain precision requirements. The book looks at the process of empirical research into the following seven stages: Formulation of the problem Stipulation of the precision requirements Selecting the statistical model for the planning and analysis The (optimal) design of the experiment or survey Performing the experiment or the survey Statistical analysis of the observed results Interpretation of the results.

The Neuropsychology of Epilepsy

Author : Thomas L. Bennett
Publisher : Springer Science & Business Media
Page : 354 pages
File Size : 53,7 Mb
Release : 1992-06-30
Category : Medical
ISBN : 0306439484

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The Neuropsychology of Epilepsy by Thomas L. Bennett Pdf

This was an exciting project to work on, and I attempted to obtain a broad sampling of current research on the neuropsychology of epilepsy. Because the emphasis of the book takes a neuropsychological perspective on epilepsy, the coverage is not redundant with previous texts on this topic. The book is organized around three themes, although individual chapters certainly often extend beyond the part in which they are located. The three major topics are the nature of epilepsy, cognitive and emotional consequences of epilepsy, and treatment approaches to epilepsy and outcome. In Part I, following a historical overview of epilepsy in Chapter 1 by Sandra D. Haynes and me, Gerald C. McIntosh presents a conceptualization of the epilepsies from a neurologist's perspective. The characteristics of seizure types are discussed, and the etiology of secondary epilepsies is described. Epileptic syndromes are considered. McIntosh outlines clinical seizure patterns associated with seizures originating from different cortical regions.

Statistical Methods for Psychology

Author : David C. Howell
Publisher : Wadsworth Publishing Company
Page : 770 pages
File Size : 43,9 Mb
Release : 2013
Category : Psychology
ISBN : 1111840857

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Statistical Methods for Psychology by David C. Howell Pdf

STATISTICAL METHODS FOR PSYCHOLOGY, 8E, International Edition surveys the statistical techniques commonly used in the behavioral and social sciences, particularly psychology and education. To help students gain a better understanding of the specific statistical hypothesis tests that are covered throughout the text, author David Howell emphasizes conceptual understanding. This Eighth Edition continues to focus students on two key themes that are the cornerstones of this book's success: the importance of looking at the data before beginning a hypothesis test, and the importance of knowing the relationship between the statistical test in use and the theoretical questions being asked by the experiment. New and expanded topics—reflecting the evolving realm of statistical methods—include effect size, meta-analysis, and treatment of missing data.