Statistical Methods in Neuropsychology
Statistical Methods in Neuropsychology

Author: David Aaron Maroof

Publisher: Springer Science & Business Media

Published: 2012-06-12

Total Pages: 103

ISBN-13: 1461434173

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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.

Reliability and Validity in Neuropsychological Assessment
Reliability and Validity in Neuropsychological Assessment

Author: Michael D. Franzen

Publisher: Springer Science & Business Media

Published: 2013-11-21

Total Pages: 463

ISBN-13: 1475732244

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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.

Analysis of Neural Data
Analysis of Neural Data

Author: Robert E. Kass

Publisher: Springer

Published: 2014-07-08

Total Pages: 663

ISBN-13: 1461496020

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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.

Statistical Methods for Psychology
Statistical Methods for Psychology

Author: David C. Howell

Publisher: Wadsworth Publishing Company

Published: 2013

Total Pages: 770

ISBN-13: 9781111840853

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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.

Cluster Analysis in Neuropsychological Research
Cluster Analysis in Neuropsychological Research

Author: Daniel N. Allen

Publisher: Springer Science & Business Media

Published: 2014-07-08

Total Pages: 140

ISBN-13: 1461467446

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​​ ​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.

Statistical Signal Processing for Neuroscience and Neurotechnology
Statistical Signal Processing for Neuroscience and Neurotechnology

Author: Karim G. Oweiss

Publisher: Academic Press

Published: 2010-09-22

Total Pages: 441

ISBN-13: 0080962963

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This is a uniquely comprehensive reference that summarizes the state of the art of signal processing theory and techniques for solving emerging problems in neuroscience, and which clearly presents new theory, algorithms, software and hardware tools that are specifically tailored to the nature of the neurobiological environment. It gives a broad overview of the basic principles, theories and methods in statistical signal processing for basic and applied neuroscience problems.Written by experts in the field, the book is an ideal reference for researchers working in the field of neural engineering, neural interface, computational neuroscience, neuroinformatics, neuropsychology and neural physiology. By giving a broad overview of the basic principles, theories and methods, it is also an ideal introduction to statistical signal processing in neuroscience. - A comprehensive overview of the specific problems in neuroscience that require application of existing and development of new theory, techniques, and technology by the signal processing community - Contains state-of-the-art signal processing, information theory, and machine learning algorithms and techniques for neuroscience research - Presents quantitative and information-driven science that has been, or can be, applied to basic and translational neuroscience problems

Research Methods for Cognitive Neuroscience
Research Methods for Cognitive Neuroscience

Author: Aaron Newman

Publisher: SAGE

Published: 2019-03-18

Total Pages: 945

ISBN-13: 1473952980

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This fresh, new textbook provides a thorough and student-friendly guide to the different techniques used in cognitive neuroscience. Given the breadth of neuroimaging techniques available today, this text is invaluable, serving as an approachable text for students, researchers, and writers. This text provides the right level of detail for those who wish to understand the basics of neuroimaging and also provides more advanced material in order to learn further about particular techniques. With a conversational, student-friendly writing style, Aaron Newman introduces the key principles of neuroimaging techniques, the relevant theory and the recent changes in the field.

Neuropsychological Assessment in the Age of Evidence-Based Practice
Neuropsychological Assessment in the Age of Evidence-Based Practice

Author: Stephen C. Bowden

Publisher: Oxford University Press

Published: 2017-01-26

Total Pages: 329

ISBN-13: 0190464720

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Evidence-based practice has become the benchmark for quality in healthcare and builds on rules of evidence that have been developed in psychology and other health-care disciplines over many decades. This volume aims to provide clinical neuropsychologists with a practical and approachable reference for skills in evidence-based practice to improve the scientific status of patient care. The core skills involve techniques in critical appraisal of published diagnostic-validity or treatment studies. Critical appraisal skills assist any clinician to evaluate the scientific status of any published study, to identify the patient-relevance of studies with good scientific status, and to calculate individual patient-probability estimates of diagnosis or treatment outcome to guide practice. Initial chapters in this volume review fundamental concepts of construct validity relevant to the assessment of psychopathology and cognitive abilities in neuropsychological populations. These chapters also summarize exciting contemporary development in the theories of personality and psychopathology, and cognitive ability, showing a convergence of theoretical and clinical research to guide clinical practice. Conceptual skills in interpreting construct validity of neuropsychological tests are described in detail in this volume. In addition, a non-mathematical description of the concepts of test score reliability and the neglected topic of interval estimation for individual assessment is provided. As an extension of the concepts of reliability, reliable change indexes are reviewed and the implication of impact on evidence-based practice of test scores reliability and reliable change are described to guide clinicians in their interpretation of test results on single or repeated assessments. Written by some of the foremost experts in the field of clinical neuropsychology and with practical and concrete examples throughout, this volume shows how evidence-based practice is enhanced by reference to good theory, strong construct validity, and better test score reliability.

Handbook of Clinical Child Neuropsychology
Handbook of Clinical Child Neuropsychology

Author: Cecil R. Reynolds

Publisher: Springer

Published: 2013-12-19

Total Pages: 590

ISBN-13: 1489968075

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The past decade has brought important advances in our understanding of the brain, particularly its influence on the behavior, emotions, and personality of children and adolescents. In the tradition of its predecessors, the third edition of the Handbook of Clinical Child Neuropsychology enhances this understanding by emphasizing current best practice, up-to-date science, and emerging theoretical trends for a comprehensive review of the field. Along with the Handbook’s impressive coverage of normal development, pathology, and professional issues, brand-new chapters highlight critical topics in assessment, diagnostic, and treatment, including, The role and prevalence of brain dysfunction in ADHD, conduct disorder, the autistic spectrum, and other childhood disorders; The neuropsychology of learning disabilities; Assessment of Spanish-speaking children and youth; Using the PASS (planning, attention, simultaneous, successive) theory in neurological assessment; Forensic child neuropsychology; Interventions for pediatric coma. With singular range, timeliness, and clarity, the newly updated Handbook of Clinical Child Neuropsychology reflects and addresses the ongoing concerns of practitioners as diverse as neuropsychologists, neurologists, clinical psychologists, pediatricians, and physical and speech-language therapists.

Experimental Methods in Neuropsychology
Experimental Methods in Neuropsychology

Author: Kenneth Hugdahl

Publisher: Springer Science & Business Media

Published: 2003

Total Pages: 256

ISBN-13: 9781402072109

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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.