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by David Aaron Maroof (Author)
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.
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Statistical Methods in Neuropsychology
Common Procedures Made Comprehensible
David Aaron Maroof
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.
Author Biography
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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