"Statistical Methods for Psychology" focuses on the importance of analyzing data before testing a hypothesis, emphasizing the relationship between the statistical test used and the theoretical questions being asked. The book provides real-world examples to help students understand the purpose behind experiments and the predictions made by theory. Recommended for intermediate level students and above with no prior statistics or advanced math background.

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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.

Author: David C. Howell
Format: Mixed media product
Number of Pages: 802
Publisher: Cengage Learning, Inc
Publication Date: 29 Jun 2001

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