Customer Reviews

Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences

5 star:		(4)
4 star:		(2)
3 star:		(1)
2 star:		(0)
1 star:		(1)

 

 

This is one of the best applied statistics books I've come across. It's particularly good in its coverage of continuous by continuous variable interactions in regression as well as considering basic issues of hypothesis testing in multivariate regression. I also appreciate its discussion of historical traditions which have lead some fields to be more dependent upon regression and some more ANOVA. I haven't seen one other text that comes even close.

It can be a little difficult to connect with contemporary statistics software (e.g. Stata) and terminology at times. For example, they refer to a technique called Fisher's Protected Least Square Difference Test, which I believe to be the same a joint significance in more common regression parlance, but it is hard to confirm. These type of problems are to be expected with different fields using different terms.

One negative reviewer complains that this book is difficult. This depends on what kind of text one is comparing it to. For the deep level of very useful information that it covers, it is the most readable text I've encountered.

I bought this book as a reference, so I haven't read everything in it. However, it is an extremely useful book to have on the shelf. I bought it because I had borrowed it from my advisor at least 3 times in the last six months. I recommend this book for anyone who uses the general linear model on a regular basis.

This is an excellent book for social scientists that run regressions. The book's focus in practical and has good discussions on violation of regression assumptions. This edition is actually an updated combination of a book by Cohen & Cohen's and a book by Aiken & West. The latter book has been heavily cited for its discussion of moderation analysis. I would complement this book with Wooldridge's excellent Introductory Econometrics: A Modern Approach (with Economic Applications, Data Sets, Student Solutions Manual Printed Access Card), which covers similar ground but with an economics focus.

I've adopted this text for my graduate seminar in Multiple Regression. I choose it over other texts for the topics AND because it's focus is on concepts rather than math. Now that we can carry SPSSX in our brief case, there is no need to focus on that computation.

I purchased this book to use with a grad class in multiple regression, where the syllabus follows the book closely. I don't know how easy-to-use the book would be without a supporting class, but in class and doing homework, it is extremely helpful. Carefully and plainly explains every aspect of multiple regression. Leaves out or segregates (in "black box" explanations) the complicated math that the computers do for us.

This book does NOT include steps for using SPSS or any other stats package, but acknowledges you will be using a computer for calculation. All the better in my opinion, as it won't become obsolete after the next major software revision.

This text is often cited when using multiple regression in a published study.

I needed this book for my MLR course. Glad it wasn't too expensive. So far it's been somewhat useful. Definitely a good resource to have.

Easy to follow! Great for people who do not have a strong math stats background.

Although this is a comprehensive, detailed book and one that covers everything about Multiple Regression, do NOT be fooled by the reviews stating that it is easy to use, easy to understand, and written for those who are not experts. As I searched for this book, I was heartened by the reviews telling me that I could follow it easily and that it did a better job of explaining complicated issues. What a joke that was. This book was as difficult to follow, if not more difficult, as other stats books I have used over the years. Don't get me wrong, I am not criticizing the content and effort of this book, just making sure others aren't blindsided by how difficult it really is. And please do not accuse me of sour grapes. A classmate taking a difficult stats course showed me the book they were using, and it was much easier to use. Unfortunately, I can't remember the title or author of that book.

I wish everyone the best of luck with regression. Although I do not understand 10% of the topic, I'm excited by how it could help me with my dissertation. Just be weary of this book.