Regression, ANOVA, and the general linear model : a statistics primer /
Peter Vik uses this new First Edition to demonstrate basic statistical concepts from two different perspectives, giving the reader a conceptual understanding of how to interpret statistics and their use. The two perspectives are (1) a traditional focus on the t-test, correlation, and ANOVA, and (2)...
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| Format: | Book |
| Language: | English |
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Los Angeles :
SAGE,
[2014]
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| Summary: | Peter Vik uses this new First Edition to demonstrate basic statistical concepts from two different perspectives, giving the reader a conceptual understanding of how to interpret statistics and their use. The two perspectives are (1) a traditional focus on the t-test, correlation, and ANOVA, and (2) a model-comparison approach using General Linear Models (GLM). This book juxtaposes the two approaches by presenting a traditional approach in one chapter, followed by the same analysis demonstrated using GLM. By so doing, readers acquire a theoretical and conceptual appreciation for data analysis as well as a practical understanding as to how these two approaches are alike. Dr. Vik demonstrates model-building by creating successively enhanced models based on (to the extent practical) a single data set. This text is intended for readers who already have a basic understanding of statistics. --from back cover |
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| Physical Description: | 319 pages : illustrations ; 24 cm |
| Bibliography: | Includes bibliographical references (page 299) and index |
| ISBN: | 1412997356 (pbk.) 9781412997355 (pbk.) |