Statistical Methods in Neuropsychology: Common Procedures Made Comprehensible

Overview

Statistics: not only the bane of many a student's existence, but also puzzling to any number of mental health professionals. At the same time, they are necessary in making sound clinical judgments as to clients' cognitive functioning or decline. Without them, a practitioner may be at a loss to explain findings or recommendations, or understand data in context. The first publication of its kind, Statistical Methods in Neuropsychology brings the broad field of applied statistics and the specialized field of ...

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Overview

Statistics: not only the bane of many a student's existence, but also puzzling to any number of mental health professionals. At the same time, they are necessary in making sound clinical judgments as to clients' cognitive functioning or decline. Without them, a practitioner may be at a loss to explain findings or recommendations, or understand data in context. The first publication of its kind, Statistical Methods in Neuropsychology brings the broad field of applied statistics and the specialized field of neuropsychology together to simplify and demystify test results. In readable, at times downright funny prose employing the minimum of hard math (and even less hard jargon), this concise volume shows readers how to effectively translate psychometric test data into real-world clinical practice, and offers a fuller understanding of the research literature. The author critiques commonly used statistical methods on the basis of their strengths and weaknesses, and reviews the issues in these key areas:
• Assessing validity.
• Statistical assumptions.
• Exploratory factor analysis.
• Normative data.
• Covariates and covariance analysis.
• Regression and logistic regression analysis.
• Multivariate analysis of variance. Statistical Methods in Neuropsychology will appeal to a wide variety of neuropsychologists, cognitive neuroscientists, psychiatrists, and experimental psychologists: those who understand statistics but want to know the why behind them, those new to the field and still getting familiar with the formulas, and those wishing to retake the course with a witty, world-class professor.

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Editorial Reviews

Doody's Review Service
Reviewer: Christopher J Graver, PhD, ABPP-CN(Madigan Healthcare System)
Description: Statistics are crucial to analyzing, understanding, and presenting scientific data, but they are also complex, confusing, and prone to misrepresentation. This book explores statistical concepts in relation to the field of neuropsychology.
Purpose: The purpose is to provide a simple, conceptually straightforward explanation of statistical analyses.
Audience: Although specifically targeted at neuropsychologists, the statistical concepts would be useful to anyone in the social sciences or medicine. The author has written on this topic previously, and pulls previous knowledge into this handy book.
Features: At less than 100 pages, this is a short, concise book on the topic. It begins with a review of psychometric concepts and statistical assumptions before delving into specific statistical methods. Each chapter is well organized, brief, and practical. The book lays out the major steps involved in the analysis, then educates and provides guidance to help readers work through the analysis in relatively simple, but effective terms. In addition to examples, a bit of humor at times helps to make the material more palatable. Although this will not serve as an instructional guide to statistics for novices, it can be a simple way to review for readers whose statistics classes were several years or even decades past. My only complaint is that the book could have provided more detail for some of the junction points in decision-making for a particular test (e.g., when to use PCA versus maximum likelihood). This would help readers get entirely through the analysis without adding much to the book's length.
Assessment: This useful overview of common statistical methods in neuropsychology and related fields contains practical guidance for carrying out the analyses that will best serve readers familiar with statistics, but not immersed in them on a daily basis.
From The Critics
Reviewer: Christopher J Graver, PhD, ABPP-CN(Madigan Healthcare System)
Description: Statistics are crucial to analyzing, understanding, and presenting scientific data, but they are also complex, confusing, and prone to misrepresentation. This book explores statistical concepts in relation to the field of neuropsychology.
Purpose: The purpose is to provide a simple, conceptually straightforward explanation of statistical analyses.
Audience: Although specifically targeted at neuropsychologists, the statistical concepts would be useful to anyone in the social sciences or medicine. The author has written on this topic previously, and pulls previous knowledge into this handy book.
Features: At less than 100 pages, this is a short, concise book on the topic. It begins with a review of psychometric concepts and statistical assumptions before delving into specific statistical methods. Each chapter is well organized, brief, and practical. The book lays out the major steps involved in the analysis, then educates and provides guidance to help readers work through the analysis in relatively simple, but effective terms. In addition to examples, a bit of humor at times helps to make the material more palatable. Although this will not serve as an instructional guide to statistics for novices, it can be a simple way to review for readers whose statistics classes were several years or even decades past. My only complaint is that the book could have provided more detail for some of the junction points in decision-making for a particular test (e.g., when to use PCA versus maximum likelihood). This would help readers get entirely through the analysis without adding much to the book's length.
Assessment: This useful overview of common statistical methods in neuropsychology and related fields contains practical guidance for carrying out the analyses that will best serve readers familiar with statistics, but not immersed in them on a daily basis.
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Product Details

  • ISBN-13: 9781461434160
  • Publisher: Springer US
  • Publication date: 6/12/2012
  • Edition description: 2012
  • Edition number: 1
  • Pages: 110
  • Sales rank: 1,029,574
  • Product dimensions: 6.40 (w) x 9.20 (h) x 0.50 (d)

Meet the Author

David Maroof, Ph.D. is a clinical neuropsychologist. He attended Yeshiva University’s APA-accredited clinical psychology program prior to completing a post-doctoral fellowship in clinical neuropsychology at Johns Hopkins University School of Medicine. Presently, Dr. Maroof is in clinical practice in Orlando, Florida, where he also holds a full-time faculty appointment managing the neuropsychology track for the Florida Professional School of Psychology, an APA-accredited doctoral program. Dr. Maroof has taught for a number of years – both undergraduate and graduate – primarily in courses of statistics and research design and neuropsychology. Dr. Maroof has numerous publications, including book chapters and original research articles.

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