Structural Equation Modeling
A Second Course (2nd ed.)
Nonfiction, Science & Nature, Mathematics, Statistics, Reference & Language, Education & Teaching, Teaching, Teaching Methods
| Author: | ISBN: | 9781623962463 | |
| Publisher: | Information Age Publishing | Publication: | March 1, 2013 |
| Imprint: | Information Age Publishing | Language: | English |
| Author: | |
| ISBN: | 9781623962463 |
| Publisher: | Information Age Publishing |
| Publication: | March 1, 2013 |
| Imprint: | Information Age Publishing |
| Language: | English |
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 highlysuccessful 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 didacticallyoriented 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.
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 highlysuccessful 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 didacticallyoriented 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.
