Structural Equation Modeling : A Second Course
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| Title: | Structural Equation Modeling : A Second Course |
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| Description: | Sponsored by the American Educational Research Association's Special Interest Group for Educational StatisticiansThis 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. |
| Authors: | Gregory R. Hancock, Ralph O. Mueller |
| Resource Type: | eBook. |
| Subjects: | Analysis of covariance, Structural equation modeling, Linear models (Statistics), Multilevel models (Statistics) |
| Categories: | MATHEMATICS / Probability & Statistics / General |
| Database: | eBook Collection (EBSCOhost) |
| Abstract: | Sponsored by the American Educational Research Association's Special Interest Group for Educational StatisticiansThis 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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| ISBN: | 9781623962449 9781623962456 9781623962463 9781806613922 |
