Download Using Multivariate Statistics (5th Edition) djvu

by Linda S. Fidell,Barbara G. Tabachnick

Author:	Linda S. Fidell,Barbara G. Tabachnick
Subcategory:	Mathematics
Language:	English
Publisher:	Pearson; 5 edition (March 3, 2006)
Pages:	1008 pages
Category:	Math and Science
Rating:	4.1
Other formats:	azw mobi docx rtf

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Using Multivariate Statistics by Barbara G. Tabachnick (1996-01-23).

Using Multivariate Statistics by Barbara G. While it is common for technical books to have errata, I must raise some doubts about how carefully the book was "proofed. Needless to say, this is not exactly confidence inspiring.

This page intentionally left blank. Using Multivariate Statistics Barbara G. Tabachnick California State University, Northridge. Linda S. Fidell California State University, Northridge.

Barbara G. Tabachnick, Linda S. Fidell. Download (pdf, 4. 5 Mb) Donate Read.

Using Multivariate Statistics provides practical guidelines for conducting numerous types of multivariate statistical analyses.

This text’s practical approach focuses on the benefits and limitations of applications of a technique to a data set - when, why, and how to do it. Learning Goals. Upon completing this book, readers should be able to: Learn to conduct numerous types of multivariate statistical analyses

Using Multivariate Statistics provides practical guidelines for conducting numerous types of multivariate statistical analyses

Using Multivariate Statistics provides practical guidelines for conducting numerous types of multivariate statistical analyses. It gives syntax and output for accomplishing many analyses through the most recent releases of SAS and SPSS. test cricket, Perth (WA), "Parkes, Henry". Separate different tags with a comma. To include a comma in your tag, surround the tag with double quotes. Published November 1st 2013 by Chegg Used Books. ISBN: 0205459382 (ISBN13: 9780205459384). Author(s): Barbara G. Upon completing this book, readers should be able to: Learn to conduct numerous types of multivariate statistical analyses

The problem is epistemology, not statistics: Replace significance tests by confi-dence intervals and quantify accuracy numerical predictions What if there were no significance tests? Jan 1997. The problem is epistemology, not statistics: Replace significance tests by confi-dence intervals and quantify accuracy numerical predictions.

Needham Heights, MA: Allyn & Bacon. Barber, A. & Roehling, M. V. (1993). Job Posting and the Decision to Interview: A Verbal Protocol Analysis. Journal of Applied Psychology, 78, 845-856. 232 Barber, A. E. (1998). Recruiting Employees: Individual and Organizational Perspectives. Thousand Oaks, CA, USA: Sage Publications, Inc. Barnett, W. & Miner, A. S. (1992). Standing on the Shoulders of Others: Career Interdependence in Job Mobility.

Using Multivariate Statistics provides practical guidelines for conducting numerous types of multivariate statistical analyses. It gives syntax and output for accomplishing many analyses through the most recent releases of SAS, SPSS, and SYSTAT, some not available in software manuals. The book maintains its practical approach, still focusing on the benefits and limitations of applications of a technique to a data set — when, why, and how to do it. Overall, it provides advanced students with a timely and comprehensive introduction to today's most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge of higher-level mathematics.

Comments:

Mori

I've bought a lot of stats books over the years - and this is one I keep going back to. It fills a nice gap between introductory stats books and advanced texts that address one particular method/topic.

I like that each chapter has, more or less, three parts: 1) a conceptual part, 2) a math part, and 3) a stats program part. Some parts may be more or less useful to you. When reviewing, I usually like to stare at, and mentally work through, the math. I also like the stats program parts as syntax for software is often provided.

This being said, if I get really into a topic (e.g., using mixed models to examine change over time), I will go to a more in-depth text. However, reading the T&F summary first does help give me a broader conceptual framework on which to hang the details of more in-depth materials.

Lastly, I also like the chapter on data cleaning and checking basic (univariate) stats before continuing on with more complex analyses. I work with other people who take a very point-and-click, magic button, get the stat approach to data analysis. You know, just looking for that p-value for a very specific term. I like having something to show that gives steps for getting to know your data better than that. It leads to better practice, IMHO.

Risteacor

I rated this text high because it is an excellent guide to those using multivariate statistics. There are many theoretical issues and assumptions that underlie the use of multiple regression, discriminant analysis, logistic regression, MANOVA, and other parametric statistical procedures. Tabachnick and Fidell to an excellent job of covering those theoretical issues and assumptions that quantitative researchers must take into account when using these procedures. The text is aided by the standard way these assumptions and theoretical issues are dealt with in each chapter. The book also does a very good job of explaining complex concepts such as multicolinearity, homogeneity of variance, and multivariate normality. I recommend this text to any researchers who want to improve their knowledge of applied statistics and need to correctly apply multivariate statistics.

Wooden Purple Romeo

This was a required textbook for my graduate level multivariate class. After the class I thought about selling it for some extra cash. I am glad I didn`t because it is a nice reference book that I find myself using often. Also, the authors include many examples of how to do the statistical analysis in many of the popular statistical software one is likely to encounter.

Nuadabandis

This book takes a much more applied approach than I anticipated, especially when comparing it to the other book I ordered which was supposed to be applied. Overall it is a good book, it had a lot of good basic references, although I think it tried to tackle too much and could've been longer (even though I really don't want it to be any longer). Good reference though, easy to follow and it helped me in class, so it accomplished what I bought it for.

Kekinos

The 5th edition of this popular book is, in my opinion, marred by a large number of errata (see the book's web page.) While it is common for technical books to have errata, I must raise some doubts about how carefully the book was "proofed." Needless to say, this is not exactly confidence inspiring.

Fordrekelv

This text is well written and the student who has completed a basic statistics course will not encounter any problems following Tabachnick and Fidell. I found Chapter Four, Cleaning Up Your Act: Screening Data Prior to Analysis, to be a great help. Even if your performing the most basic of analysis, this chapter will help the new researcher avoid serious analytical issues. This text is a must for any student conducting quantitative research.

Drelahuginn

Lots of information about multi-variate statistics that you can't find elsewhere. Organized in a relatively easy to follow formate for individuals with a moderate amount of stats understanding. Much easier to read and understand than other stats books.

I know that multivariate statistics isn't everyone's cup of tea, but this book was incredibly difficult to follow and not particularly interesting. The examples were mundane, the writing bland, and honestly, I did much better with other books than I did with this. I ended up with an A in the class, but it sure as hell wasn't because of this book.

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