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This revised and updated edition is informed throughout by the application of Multiple Regression/Correlation (MRC) to the study of causality. MRC is seen here as a scientific rather than a technological tool - for understanding rather than blind "prediction". The presentation is non-mathematical and should be easy to grasp, with emphasis on concrete examples that are worked out in detail. The stress is on applications - not only to demonstrate the principles, but also to provide working models and show what kinds of applications are possible.
This revised and updated edition is informed throughout by the application of Multiple Regression/Correlation (MRC) to the study of causality. MRC is seen here as a scientific rather than a technological tool - for understanding rather than blind "prediction". The presentation is non-mathematical and should be easy to grasp, with emphasis on concrete examples that are worked out in detail. The stress is on applications - not only to demonstrate the principles, but also to provide working models and show what kinds of applications are possible.
Inside This Book
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First Sentence
Multiple regression/correlation analysis (MRC) is a highly general and therefore very flexible data-analytic system that may be used whenever a quantitative variable (the dependent variable) is to be studied as a function of, or in relationship to, any factors of interest (expressed as independent variables). Read the first page
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
Multiple regression/correlation analysis (MRC) is a highly general and therefore very flexible data-analytic system that may be used whenever a quantitative variable (the dependent variable) is to be studied as a function of, or in relationship to, any factors of interest (expressed as independent variables). Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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