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This book provides full coverage of the wide range of multivariate topics that graduate students across the social and behavioral sciences encounter, using a conceptual, non-mathematical, approach. Addressing correlation, multiple regression, exploratory factor analysis, MANOVA, path analysis, and structural equation modeling, it is geared toward the needs, level of sophistication, and interest in multivariate methodology that serves students in applied programs in the social and behavioral sciences. Readers are encouraged to focus on design and interpretation rather than the intricacies of specific computations.
- Sales Rank: #130510 in Books
- Brand: Brand: SAGE Publications, Inc
- Published on: 2012-08-17
- Format: Lay Flat
- Original language: English
- Number of items: 1
- Dimensions: 9.20" h x 2.20" w x 7.70" l, 4.25 pounds
- Binding: Hardcover
- 1104 pages
- Used Book in Good Condition
Review
For me the comprehensive nature of the text is most important – even when I don’t cover topics in class students gain value by being able to read about cluster analysis or ROC analysis in enough detail that they can conduct their own analyses. Students appreciate the integration with SPSS. There is an appropriate balance of “practice” and background so that students learn what they need to know about the techniques but also learn how to implement and interpret the analysis. (E. Kevin Kelloway, Saint Mary's University)
The key strengths are its clearly written explanations of OLS regression and logistic regression as well as its treatment of path analysis. (Andrew Jorgenson, University of Utah)
The comprehensive nature of the topics presented and the numerous figures and charts. (Marie Kraska, Ph.D., Auburn University 2012-06-01)
Organization is excellent. (Thomas J. Keil, Arizona State University)
Well written and accessible. I find the additional readings at the end of the chapters to be valuable and have tracked down several of the sources for my own personal use. (Glenn J. Hansen, University of Oklahoma)
My students think the book is well written and the language is easy for them to understand (Xiaofen Deng Keating, The University of Texas at Austin)
About the Author
Lawrence S. Meyers earned his doctorate in experimental psychology and has been a Professor in the Psychology Department at California State University, Sacramento, for a number of years. He supervises research students and teaches research design courses as well as history of psychology at both the undergraduate and graduate levels. His areas of expertise include test development and validation.
Glenn Gamst is Professor and Chair of the Psychology Department at the University of La Verne, where he teaches the doctoral advanced statistics sequence. His research interests include the effects of multicultural variables on clinical outcome. Additional research interests focus on conversation memory and discourse processing. He received his PhD in experimental psychology from the University of Arkansas.
A. J. Guarino is a professor of biostatistics at Massachusetts General Hospital, Institute of Health Professions. He is the statistician on numerous National Institutes of Health grants and a reviewer on several research journals. He received his BA from the University of California, Berkeley, and a PhD in statistics and research methodologies from the Department of Educational Psychology, the University of Southern California.
Most helpful customer reviews
5 of 6 people found the following review helpful.
Difficult on Kindle
By The Crank
This is a review of the Kindle edition.
First, I now know that this is a reference book. My professor makes us read it, but, in the long run, this will be used to look up specific techniques during my thesis work and (hopefully) future research.
While the Kindle makes searching for text easy, it is horrible for academic work. It does not show the actual page numbers from the physical book, meaning I cannot include a citation from this book in any paper I write. Epic Fail on the academic front.
Second, the book is a large format book, including lots of diagrams and charts. It does not translate well to the screen of a Microsoft Surface Pro, or to an external 14" monitor. For me, it is difficult to read when I have to jump a few Kindle pages to find a diagram, then jump back to the page I was reading. I find it much easier to do this in the physical version.
3 of 3 people found the following review helpful.
perfect for learning advance statistics
By Canadan
I used this for one of my graduate statistics courses and found it easy to understand. The chapters begin with a conceptual view of each statistical analysis and then show you how to run it using SPSS and SAS. This is now my "go to" book when I'm running data analysises.
2 of 2 people found the following review helpful.
Practical
By Martin Nader
This book offers the possibility to understand the mathematical principles behind multivariate research and the practical tips to achieve the most accurate results with SPSS and AMOS. It's very simple on its writing style and I reccomend it to all researchers interested on this kind of topics.
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