Applied Statistics: From Bivariate Through Multivariate Techniques
Product Description
Applied Statistics: From Bivariate Through Multivariate Techniques provides a clear introduction to widely used topics in bivariate and multivariate statistics including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression. Author Rebecca M. Warner presents an applied approach that does not require formal mathematics and equations are accompanied by verbal explanations.
Applied Statistics: From Bivariate Through Multivariate Techniques
BookWorm said,
Wrote on June 10, 2010 @ 4:39 am
I was never gifted in statistics. I can figure it out eventually, but not like some I know who naturally and effortlessly understand what the mystery is about. I was impressed by how easy it was to pick up this book and start reading without having to worry about the time it would take to go through the information I needed. If one could claim that a statistics book is an “easy read” and not look like someone who is probably involved in some deception scheme, I would take this risk for this book.
Perhaps because I am not gifted, I tend to take what I read in statistics books literally and believe them! This is partially why I was always very timid about research. My kind of research has to take place in the real world, where there are very few clear-cut blacks and whites. Most statistics books however, seem to be written in the Ivory Towers, where most things are forced to be in black-and-white categories… You know, to make the design clean. Therefore, I would often wonder what to do with my filthy design and not look like a charlatan when the results were significant. I would find myself feeling guilty because I found something exciting, when the books said I should never have touched the method I used for analysis, because the data was not clean enough. I love this book, because I finally found an author who is bold enough to come down from the Ivory Tower, discuss how sometimes you cannot have everything perfect in your design, and make suggestions for the filth my kind has to survive!
Rating: 5 / 5
E. Tearrah Cristiani-Nguyen said,
Wrote on June 10, 2010 @ 4:59 am
Densely packed with vital information needed for stats classes from Master’s level to Doctoral level. Each chapter ends with a summary and comprehensive questions. My only true critique is that the answers to the end of chapter questions are not included.
Rating: 4 / 5
Sunny said,
Wrote on June 10, 2010 @ 5:02 am
This is an excellent text. It is suitable for an advanced undergraduate or introductory graduate level methods class. There are many texts written at this level. The distinguishing feature of this text is that it is the most clearly written statistical textbook I have read. Theory is not covered, which is typical of an introductory methods course. However, the mathematical level is advanced enough so that one is simply not plugging into formulas. The text uses SPSS to analyze data. The only improvement would be if the data sets were easily available. Overall, I highly recommend this book.
Rating: 5 / 5
Tashel N. Martin said,
Wrote on June 10, 2010 @ 7:30 am
The seller description was on point. The item was brand new and shipping was really quick because I received the item the day my course began. Would purchase from this seller again. I highly recommend them.
Rating: 5 / 5
Markenstein said,
Wrote on June 10, 2010 @ 8:54 am
The book presents the material in an understandable manner.It contains many inaccuracies. For instance p. 322, the formula (8.6) gives the relationship between phi and chi-square. This formula is incorrect as it should be N times phi squared(not just phi).The latter took me a couple of hours to figure out. The latter is not an exception and I saw other problems.
The book includes references in APA style. I do know that references must be present in a journal article but as a student I do not care who said what and when all I need is explanation on why the certain result is valid. I really do not see how the book which just gives you some results contributes to learning – if something is said it must be substantiated with some kind of proof which should be relatively easy to do for an introductory text. Overall, the book gives a good introduction on SPSS and related statistical concepts.
Mark
Rating: 3 / 5