free download Multiple Regression And Beyond
This book is designed to provide a conceptually-oriented introduction to multiple regression. It is divided into two main parts. The author concentrates on multiple regression analysis in the first part and structural equation modeling in the second part. Provides an introduction to multiple regression analysis, path analysis, confirmatory factor analysis, and structural equation modeling. Students gain a foundation in multiple regression. Multiple regression is used as a jumping-off place for structural equation modeling with measured variables (path analysis). Latent variables are introduced as a way of obviating some of the threats to path models, and SEM with latent variables is presented as the culmination of the previous topics. (not so sure about this one) Conceptual, rather tha Multiple Regression And Beyond
Slightly confusing and somewhat dated, but overall not terrible by means of explaining the reasoning behind specific statistical methods. Multiple Regression And Beyond I owe this book my entry into the stats world. I really appreciated authors who have a way of using plain language to explain complex content, without dumbing down the level of content being delivered. I've attended a couple of intro stats lectures before reading the book and found that the book really gives you the kind of foundational understanding you need for proceeding into more complicated stuff. Multiple Regression And Beyond This is a somewhat exotic book for most folks at Goodreads for me to review here. However, for those interested in multivariate social science statistics, this is an excellent volume. The book introduces readers to regression, factor analysis, and structural equation modeling. It is accessible, but does not dumb down discussion of the techniques.
For example, with structural equation modeling (SEM), one wants to know how well the model does in explaining the actual data. Keith does a nice job in laying out what the researcher would look for in making sense of the results--and assessing how well the model does. The author's discussion of SEM in this book and in chapters/articles published elsewhere is a Godsend to those of us who see the value of the technique and need some guidance in its use.
This would be a nice volume for advanced statistics classes and is well worth considering as a textbook in such classes. For those who use statistics in research, this is also very useful.
Multiple Regression And Beyond Pretty engaging, as far as statistics textbooks go, though I won't be rushing back to reread this one any time soon. I like the author's way of writing, he actually tries to make a book on regression semi entertaining, and very nearly succeeds :) Multiple Regression And Beyond Great, easy to understand SEM book. However, highly recommend buying the paper copy as there are a ton of diagrams and outputs you will want to compare across pages. Multiple Regression And Beyond
