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Structural Equation Models = From Paths to Networks /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Structural Equation Models/ by J. Christopher Westland.
其他題名:	From Paths to Networks /
作者:	Westland, J. Christopher.
面頁冊數:	IX, 149 p. 36 illus., 18 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computational intelligence. -
電子資源:	https://doi.org/10.1007/978-3-030-12508-0
ISBN:	9783030125080

Structural Equation Models = From Paths to Networks /
Westland, J. Christopher.

Structural Equation ModelsFrom Paths to Networks /[electronic resource] :by J. Christopher Westland. - 2nd ed. 2019. - IX, 149 p. 36 illus., 18 illus. in color.online resource. - Studies in Systems, Decision and Control,222198-4182 ;. - Studies in Systems, Decision and Control,27.

Chapter1. An Introduction to Structural Equation Models -- Chapter2. Partial Least Squares Path Analysis -- Chapter3. Full-information Covariance SEM -- Chapter4. Systems of Regression Equations -- Chapter5. Data Collection, Control and Sample Size -- Chapter6. Survey and Questionnaire Data -- Chapter7. Research Structure and Paradigms -- Chapter8. Frontiers in Latent Variable Analysis.

This new edition surveys the full range of available structural equation modeling (SEM) methodologies. The book has been updated throughout to reflect the arrival of new software packages, which have made analysis much easier than in the past. Applications in a broad range of disciplines are discussed, particularly in the social sciences where many key concepts are not directly observable. This book presents 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 are growing in importance. 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.

ISBN: 9783030125080

Standard No.: 10.1007/978-3-030-12508-0doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

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