Structural Equation Models: From Paths to Networks
This compact reference surveys the full range of available structural equation modeling (SEM) methodologies. It reviews applications in a broad range of disciplines, particularly in the social sciences where many key concepts are not directly observable. This is the first book to present SEM’s devel...
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Springer
2016
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oai:scholar.dlu.edu.vn:DLU123456789-597842023-11-11T06:51:48Z Structural Equation Models: From Paths to Networks Westland, James Christopher General Statistics Probability Applied Structural equation modeling This compact reference surveys the full range of available structural equation modeling (SEM) methodologies. It reviews applications in a broad range of disciplines, particularly in the social sciences where many key concepts are not directly observable. This is the first book to present SEM’s development in its proper historical context–essential to understanding the application, strengths and weaknesses of each particular method. This book also surveys the emerging path and network approaches that complement and enhance SEM, and that will grow importance in the near future. SEM’s ability to accommodate unobservable theory constructs through latent variables is of significant importance to social scientists. Latent variable theory and application are comprehensively explained and methods are presented for extending their power, including guidelines for data preparation, sample size calculation and the special treatment of Likert scale data. Tables of software, methodologies and fit statistics provide a concise reference for any research program, helping assure that its conclusions are defensible and publishable. 2016-03-09T07:21:48Z 2016-03-09T07:21:48Z 2015 Book 978-3-319-16507-3 978-3-319-16506-6 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/59784 en application/pdf Springer |
| institution |
Thư viện Trường Đại học Đà Lạt |
| collection |
Thư viện số |
| language |
English |
| topic |
General Statistics Probability Applied Structural equation modeling |
| spellingShingle |
General Statistics Probability Applied Structural equation modeling Westland, James Christopher Structural Equation Models: From Paths to Networks |
| description |
This compact reference surveys the full range of available structural equation modeling (SEM) methodologies. It reviews applications in a broad range of disciplines, particularly in the social sciences where many key concepts are not directly observable. This is the first book to present SEM’s development in its proper historical context–essential to understanding the application, strengths and weaknesses of each particular method. This book also surveys the emerging path and network approaches that complement and enhance SEM, and that will grow importance in the near future. SEM’s ability to accommodate unobservable theory constructs through latent variables is of significant importance to social scientists. Latent variable theory and application are comprehensively explained and methods are presented for extending their power, including guidelines for data preparation, sample size calculation and the special treatment of Likert scale data. Tables of software, methodologies and fit statistics provide a concise reference for any research program, helping assure that its conclusions are defensible and publishable. |
| format |
Book |
| author |
Westland, James Christopher |
| author_facet |
Westland, James Christopher |
| author_sort |
Westland, James Christopher |
| title |
Structural Equation Models:
From Paths to Networks |
| title_short |
Structural Equation Models:
From Paths to Networks |
| title_full |
Structural Equation Models:
From Paths to Networks |
| title_fullStr |
Structural Equation Models:
From Paths to Networks |
| title_full_unstemmed |
Structural Equation Models:
From Paths to Networks |
| title_sort |
structural equation models:
from paths to networks |
| publisher |
Springer |
| publishDate |
2016 |
| url |
https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/59784 |
| _version_ |
1782549538120138752 |