9781623962449-1623962447-Structural Equation Modeling: A Second Course (2nd ed.) (Quantitative Methods in Education and the Behavioral Sciences: Issues, Research, and Teaching)

Structural Equation Modeling: A Second Course (2nd ed.) (Quantitative Methods in Education and the Behavioral Sciences: Issues, Research, and Teaching)

ISBN-13: 9781623962449
ISBN-10: 1623962447
Edition: 2nd Revised ed.
Author: Gregory R. Hancock, Ralph O. Mueller
Publication date: 2013
Publisher: Information Age Publishing
Format: Paperback 702 pages
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ISBN-13: 9781623962449
ISBN-10: 1623962447
Edition: 2nd Revised ed.
Author: Gregory R. Hancock, Ralph O. Mueller
Publication date: 2013
Publisher: Information Age Publishing
Format: Paperback 702 pages

Summary

Structural Equation Modeling: A Second Course (2nd ed.) (Quantitative Methods in Education and the Behavioral Sciences: Issues, Research, and Teaching) (ISBN-13: 9781623962449 and ISBN-10: 1623962447), written by authors Gregory R. Hancock, Ralph O. Mueller, was published by Information Age Publishing in 2013. With an overall rating of 4.1 stars, it's a notable title among other Applied (Mathematics) books. You can easily purchase or rent Structural Equation Modeling: A Second Course (2nd ed.) (Quantitative Methods in Education and the Behavioral Sciences: Issues, Research, and Teaching) (Paperback) from BooksRun, along with many other new and used Applied books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.77.

Description

Sponsored by the American Educational Research Association's Special Interest Group for Educational Statisticians This volume is the second edition of Hancock and Mueller's highly-successful 2006 volume, with all of the original chapters updated as well as four new chapters. The second edition, like the first, is intended to serve as a didactically-oriented resource for graduate students and research professionals, covering a broad range of advanced topics often not discussed in introductory courses on structural equation modeling (SEM). Such topics are important in furthering the understanding of foundations and assumptions underlying SEM as well as in exploring SEM, as a potential tool to address new types of research questions that might not have arisen during a first course. Chapters focus on the clear explanation and application of topics, rather than on analytical derivations, and contain materials from popular SEM software.

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