Applying Regression and Correlation: A Guide for Students and Researchers by Jeremy Miles Details
This book sheds new light on the application of regression analysis in behavioral science by introducing the reader to regression analysis through a simple model building approach. The authors begin…
This book sheds new light on the application of regression analysis in behavioral science by introducing the reader to regression analysis through a simple model building approach.
The authors begin with the basics and begin to revisit the average and the standard deviation that most readers will already be familiar with and show that they can be considered less model squares.
The book demonstrates that this lower squares model is actually a special case for regression analysis and can be expanded to deal with the first one, then more than one independent variable. Extending the model from average to regression analysis provides a powerful and simple way to think about what students think is the most complex aspects of regression analysis.
The authors extend the model gradually to include aspects of regression analysis such as nonlinear regression, logistic regression, and median and median analysis. These approaches are often presented in a highly mathematical way for students who are not statistically unknown to deal with them.
Throughout the book, the book maintains a conceptual and non-mathematical focus. Most equations are placed in an extension, where a detailed explanation is provided, to avoid disrupting the main text flow.
This book will be indispensable for anyone who uses gradation and engagement from undergraduate students who carry out postgraduate projects and researchers.
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