Synopsis
STATISTICAL METHODS FOR PSYCHOLOGY surveys the statistical techniques commonly used in the behavioral and social sciences, especially psychology and education. This book has two underlying themes that are more or less independent of the statistical hypothesis tests that are the main content of the book. The first theme is the importance of looking at the data before formulating a hypothesis. With this in mind, the author discusses, in detail, plotting data, looking for outliers, and checking assumptions (Graphical displays are used extensively). The second theme is the importance of the relationship between the statistical test to be employed and the theoretical questions being posed by the experiment. To emphasize this relationship, the author uses real examples to help the student understand the purpose behind the experiment and the predictions made by the theory. Although this book is designed for students at the intermediate level or above, it does not assume that students have had either a previous course in statistics or a course in math beyond high-school algebra.
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About the Author
David C. Howell (Ph.D., Tulane University) is a professor emeritus and former chair of the psychology department at the University of Vermont. Professor Howell s primary area of research is in statistics and experimental methods. In addition to his work on Fundamental Statistics for the Behavioral Sciences, Professor Howell is also the author of Statistical Methods for Psychology 5e (Duxbury, 2002). He has also served as consultant with other faculty, both in the psychology department and in departments as disparate as Geology and Animal Sciences. Professor Howell s other interests include computing and computer networks, and their changing role in communication, teaching, and research.
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