Ebook Applying Regression and Correlation: A Guide for Students and Researchers, by Jeremy Miles, Mark Shevlin
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Applying Regression and Correlation: A Guide for Students and Researchers, by Jeremy Miles, Mark Shevlin
Ebook Applying Regression and Correlation: A Guide for Students and Researchers, by Jeremy Miles, Mark Shevlin
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This book takes a fresh look at applying regression analysis in the behavioural sciences by introducing the reader to regression analysis through a simple model-building approach.
The authors start with the basics and begin by re-visiting the mean, and the standard deviation, with which most readers will already be familiar, and show that they can be thought of a least squares model. The book then shows that this least squares model is actually a special case of a regression analysis and can be extended to deal with first one, and then more than one independent variable.
Extending the model from the mean to a regression analysis provides a powerful, but simple, way of thinking about what students believe
- Sales Rank: #818299 in Books
- Published on: 2001-03-08
- Released on: 2000-12-12
- Original language: English
- Number of items: 1
- Dimensions: 9.21" h x .60" w x 6.14" l, .91 pounds
- Binding: Paperback
- 272 pages
Review
`An excellent book on regression and correlation, which should be on the shopping list of all researchers in psychology and also of many psychology students' - Statistical Methods in Medical Research
"This book is a gem. I would certainly recommend it to my students."
(David Clark-Carter) About the Author
My research has primarily been in - Evaluation of reliability and validity - Structural equation models - Psychometrics
Most helpful customer reviews
3 of 3 people found the following review helpful.
almost too fun for a stats book
By Shopping Maven
The authors make regression not only interesting but fairly painless. This is the clearest stats book ever. It even explained concepts from lower level stats classes so that they made more sense. Examples actually clarified material as well! All stats books should be written like this.
0 of 0 people found the following review helpful.
Know your statistical software! or don't bother
By Mark J. Heinicke
Simple and clear at the outset, it soon dives into applications where the conclusions made are unclear, particularly because it uses formulas keyed to software I'm unfamiliar with. A thorough course in regression and correlation should be announced as a prerequisite. The word "Applying" in the title is a warning.
0 of 0 people found the following review helpful.
Worth the cost
By Addicted2GRACE
This book has helped me understand regression better. I bought the impulsively, but it was worth every penny. Yes, I would recommend this to people interested in conducting quantitative research in which they are trying to predict an outcome from any number of variables.
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