Al momento non sono disponibili copie per questo codice ISBN.Vedi tutte le copie di questo ISBN:
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
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)
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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Descrizione libro SAGE Publications, Inc, 2012. Hardcover. Condizione: New. Codice articolo INGM9781412988117
Descrizione libro SAGE Publications, Inc, 2012. Hardcover. Condizione: New. Never used!. Codice articolo P11141298811X
Descrizione libro Sage Pubns, 2012. Hardcover. Condizione: Brand New. 2nd edition. 1078 pages. 9.25x7.50x2.25 inches. In Stock. Codice articolo __141298811X
Descrizione libro Sage Pubns, 2012. Hardcover. Condizione: Brand New. 2nd edition. 1078 pages. 9.25x7.50x2.25 inches. In Stock. Codice articolo zk141298811X
Descrizione libro SAGE Publications, Inc. Hardcover. Condizione: New. 141298811X New Condition. Codice articolo NEW7.0910973
Descrizione libro SAGE Publications, Inc, 2012. Condizione: New. book. Codice articolo M141298811X
Descrizione libro SAGE Publications, Inc. Hardcover. Condizione: New. 141298811X New US Edition Textbook, Ships with Emailed Tracking from USA. Codice articolo Z141298811XZN
Descrizione libro SAGE Publications, Inc, 2012. Hardcover. Condizione: New. Codice articolo DADAX141298811X