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Principles and Practice of Structural Equation Modeling (Methodology in the Social Sciences) (Englisch) Taschenbuch – 7. September 2010

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"Kline provides a text that is accessible for graduate students, practitioners, and researchers who are not intimately familiar with SEM techniques. In addition, he effortlessly summarizes current information that researchers who already use SEM should have...A major strength of the book is the individual chapter examples with explanation of the values provided from a variety of statistical analysis packages." - James B. Schreiber, Center for Advancing the Study of Teaching and Learning, Duquesne University, USA "The coverage is excellent and the writing style is friendly and direct, with a subtle humor that I find refreshing. I especially like the new topic boxes in the third edition, most of which discuss issues that I have had to address separately in lectures." - Jacob Marszalek, Division of Counseling and Educational Psychology, University of Missouri-Kansas City, USA "This is now the #1 book I will recommend to students and substantive researchers (who are not quantitative specialists) who want to learn SEM! Compared to most SEM books that I have seen, this one strikes a better balance between accessibility and breadth. In the third edition, Kline not only has updated the material, but has substantially improved it." - Noel A. Card, Division of Family Studies and Human Development, University of Arizona, USA "In the third edition, Kline has improved the pedagogical value of his book relative to prior editions and to other SEM books. The Web page featuring complete computer syntax and data for the examples is very helpful. Other new material further supports a reader's understanding of SEM." - Craig Wells, School of Education, University of Massachusetts-Amherst, USA "Of all the introductory SEM texts, this one is the most interesting to read. Anyone who has taken a course in basic algebra or introductory statistics will be able to understand the ideas and work through the exercises, and those who work their way through the book will have a good foundation in SEM and will be able to use it effectively." - David F. Gillespie, George Warren Brown School of Social Work, Washington University in St. Louis, USA

Über den Autor und weitere Mitwirkende

Rex B. Kline, PhD, is Professor of Psychology at Concordia University in Montreal, Quebec, Canada. Since earning a doctorate in clinical psychology, he has conducted research on the psychometric evaluation of cognitive abilities, child clinical assessment, structural equation modeling, training of behavioral science researchers, and usability engineering in computer science. Dr. Kline has published five books, six chapters, and more than 40 articles in research journals.

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Von Stefan Röttger am 17. Juli 2012
Format: Taschenbuch
Dieses Standardwerk zum Thema Strukturgleichungsmodelle ist übersichtlich und verständlich geschrieben. Es vermittelt sowohl ein theoretisches Verständnis der Methode als auch Hinweise zu deren praktischen Anwendung. Ein Kauftipp auch für alle, die sich lediglich für die konfirmatorische Faktorenanalyse interessieren.
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Die hilfreichsten Kundenrezensionen auf (beta) 24 Rezensionen
6 von 7 Kunden fanden die folgende Rezension hilfreich
A must reference for SEM analysis 15. März 2012
Von D. Geifman - Veröffentlicht auf
Format: Taschenbuch Verifizierter Kauf
With no prior knowledge and no one to assist me I had to learn how to apply SEM in my research work. I got hold of the second edition of this book and found it very helpful. I therefore decided to purchase this third edition and found a jewel. The structure of book changed for the better and it was extended with up to date development and applications of the methodology. I would never have believed that I would so much enjoy reading a statistics book.
The book starts off with a concise overview of the statistical methods which are at the roots of SEM. This overview is just right to give you the broader perspective and the important techniques without going too much into details. It is also used later in the book for reference when details of the SEM methods are discussed.
The book then discusses in depth the various aspects of the SEM methodology. It addresses it from the perspective of the analysis process as well as the analysis techniques. From the process point of view the book takes you from the model specification stage, highlighting the analysis consideration to be taken already at this point, through model identification, analysis and re-evaluation. I especially appreciated the author's emphasis on the important place of theory in the statistical analysis. It's the theory that drives the model and not vice versa.
The book explains well the three different models of SEM: Path Analysis (PA), Confirmative Factor Analysis (CFA) and Structural Regression. It does this in a way that provides you with a good overview for the first reading and then allows for more details once you decide to start using a specific model. The extensive reference list that is provided with the book allows you to further dig into levels of details that you require.
I am sure that this book will accompany me throughout my research work.
3 von 3 Kunden fanden die folgende Rezension hilfreich
Very accessible- communicates the big picture without leaving out the details 21. Dezember 2012
Von Martin Hilbert - Veröffentlicht auf
Format: Taschenbuch Verifizierter Kauf
The problem with most SEM books is that they either contain so much difficult math that you already forget what the purpose of the equation was once you finish studying it, or that they are very dry "how-to" guides that explain how to feed a software program. This book is different: it communicates the big picture, explains the why and the how, and points to areas that require special attention. This is the most clearly written introductions to SEM available.
1 von 1 Kunden fanden die folgende Rezension hilfreich
better than i expected; good for students 7. Mai 2013
Von phuf - Veröffentlicht auf
Format: Taschenbuch Verifizierter Kauf
I learned SEM from Bollen's 1989 classic, but I needed something I could recommend to grad students in applied research who haven't studied matrix algebra or distribution theory. I was surprised to find out that Kline delivers an accessible book that also deals with important issues such as identification and estimation in a satisfactory manner. It is also up to date and addresses software. I was prepared to poo-poo this book but i think it does a good job at getting the essentials of SEM across to a non-technical audience.
1 von 1 Kunden fanden die folgende Rezension hilfreich
Very clear textbook 15. Dezember 2012
Von Jonathan Lehrfeld - Veröffentlicht auf
Format: Taschenbuch Verifizierter Kauf
Used this in an introductory SEM course. We followed this book almost religiously, even though we also were supposed to use the Raykov and Marcoulides book. This book has a good balance of theory and rules of thumb, although perhaps may be not technical enough (in terms of the underlying mathematics) for more advanced users. Comes with a pretty decent collection of syntax files for LISREL, Mplus, and EQS, and there are quite a few interesting and substantive examples that Kline uses in detail throughout the book.
5 von 7 Kunden fanden die folgende Rezension hilfreich
Excellent guide for beginners! 4. Juli 2011
Von Zetetic - Veröffentlicht auf
Format: Taschenbuch
This is hands-down one of the most clearly written introductions to SEM available; Rex Kline has a talent for describing both technical and applied topics without mincing words or spilling vast amounts of ink. Virtually everyone in my current quant program loves it. It has the perfect amount of detail (not too little, not too much) to make it a comfortable springboard into the more advanced texts and articles, which should be next on your list. Realize that while this book may make you feel like you know a lot after reading it, you should *not* treat it as a stand-alone resource-- the content is only the tip of the enormous SEM iceberg.
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