Applied Multivariate Research
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Applied Multivariate Research : Design and Interpretation

By (author) Lawrence S. Meyers , By (author) Glenn C. Gamst , By (author) Anthony J. Guarino

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Today, through the sophistication of statistical software packages such as SPSS, virtually all graduate students across the social and behavioral sciences are exposed to the complex multivariate statistical techniques such as correlation and multiple regression, exploratory factor analysis, MANOVA, path analysis, and structural equation modeling. This book is designed to provide full coverage of the wide range of multivariate topics in a conceptual, non-mathematical, approach. It is geared toward the needs, level of sophistication, and interest in multivariate methodology of students in applied programs in the social and behavioral sciencesathat need to focus on design and interpretation rather than the intricacies of specific computations.

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  • Hardback | 1104 pages
  • 198.12 x 233.68 x 53.34mm | 1,905.08g
  • 23 Oct 2012
  • SAGE Publications Inc
  • Thousand Oaks
  • English
  • Revised
  • 2nd Revised edition
  • 141298811X
  • 9781412988117
  • 136,078

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Author Information

Larry 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 level. 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. He received his Ph.D. from the University of Arkansas in experimental psychology. His research interests include the effects of multicultural variables on clinical outcome. Additional research interests focus conversation memory and discourse processing. A.J. Guarino received his B.A. from the University of California, Berkeley and a Ph.D. from the University of Southern California in statistics and research methodologies from the Department of Educational Psychology. He is professor of biostatistics at Massachusetts General Hospital, Institute of Health Professions. He is the statistician on numerous NIH grants and reviewer on several research journals.

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Review quote

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 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

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