Reading and Understanding Multivariate Statistics Kindle Edition
Author: Laurence G. Grimm ID: B004X29962
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File Size: 4974 KBPrint Length: 373 pagesPublisher: American Psychological Association; 1 edition (December 15, 1994)Publication Date: December 15, 1994 Sold by: Digital Services, Inc. Language: EnglishID: B004X29962Text-to-Speech: Enabled X-Ray: Not Enabled Word Wise: Not EnabledLending: Not Enabled Enhanced Typesetting: Not Enabled Best Sellers Rank: #226,815 Paid in Kindle Store (See Top 100 Paid in Kindle Store) #19 in Kindle Store > Kindle eBooks > Health, Fitness & Dieting > Counseling & Psychology > Statistics #36 in Kindle Store > Kindle eBooks > Health, Fitness & Dieting > Counseling & Psychology > Research #170 in Books > Medical Books > Psychology > Research
As someone who has tried to teach multivariate statistics to non-statistician graduate students for the past 5 years, I have found this to be a very valuable and clearly-written text. As advertised and as the previous reviewer noted, the text is largely free of complex statistical equations and instead has clear descriptions of each type of test as well as common applications of that test. It is a perfect introduction for students who are intimidated by numbers and equations yet need to know about multivariate statistics for their graduate studies.
The book has several weaknesses that I found require supplementing with other texts. For one, there is no tie-in with major computerized statistical applications like SPSS and SAS nor are there example exercises for students to run and interpret statistical tests for themselves. I have found such exercises to be invaluable in teaching the meaning and uses of multivariate tests. There also should have been a discussion of general issues that cut across the different multivariate tests such as data cleaning, data transformation, the role of correlation matrices and the like and so on. For coverage of these issues, I have found it helpful to use chapters from Tabachnik and Fidel’s Using Multivariate Statistics text. Finally, a number of tests, such as survival analysis are not covered in this text, though a second volume by the same authors does cover survival analysis as well as other techniques and should be considered as a companion volume as well.
In sum, this is an excellent and unusually clearly written text that is ideal for non-statistician graduate students in the social sciences. More in-depth analysis of important issues related to multivariate statistics and classroom exercises using statistical computer applications requires augmenting this text with additional readings.
The book is an overview of a variety of multivariate statistical techniques. The book is geared as a companion to a heavy duty stats textbook, with the purpose of providing conceptual discussions of each of the techniques. And it succeeds brilliantly. The authors of each chapter treat the topic statistic with very little, if any Greek, plenty of concrete examples, and clearly delineate the assumptions of the statistical procedure, when it is appropriate and inappropriate to use the procedure, and how to interpret the results of the analysis. If what you want is simply to get a good, practical, conceptual understanding of a statistical procedure and its uses, without any of the theoretical, mathematical derivations, this is the book for you!! This book literally saved my grade in my multivariate stats class. No grad student should be without this.
"Reading and Understanding Multivariate Statistics" achieves exactly what its title implies. Geared toward non-statisticians in behavioral and social science fields, this book provides clear and reasonably simple explanations of some of the most common multivariate analyses. Each chapter focuses on a different analysis and presents its conceptual underpinnings, underlying assumptions, and basic procedures with a minimum of equations and many concrete examples. It does not teach you how to perform the analyses but does provide references for those who wish to get more detailed information. As a research scientist who doesn’t always remember everything I learned in graduate statistics class, I find this book an invaluable aid keeping up with the current literature in my field and in making the most of statistical consultations. This book is ideal for anyone whose job requires them to be a "consumer" of research; for researchers who wish to further their understanding of data analysis; and as a companion text for graduate statistics classes.
Reading and Understanding Multivariate Statistics Kindle Reading and Understanding Multivariate Statistics Kindle edition by Laurence G Grimm Paul R Yarnold Paul R Yarnold Format Kindle Edition Verified PurchaseAmazon com Reading Understanding Multivariate Reading and Understanding Multivariate Statistics achieves exactly what its title implies Format Kindle Edition Verified PurchaseReading and Understanding Multivariate Statistics Reading and Understanding Multivariate Statistics Kindle Edition Author Laurence G Grimm Paul R Yarnold Language English ISBN B004X29962 Format PDF Reading Understanding Multivariate Statistics Reading Understanding Multivariate Statistics Grimm 9781557982735 Books Amazon ca Amazon Try Prime Your Store Deals Store Gift Cards Sell Help en
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