Structural Equation Models: From Paths to Networks by J. Christopher Westland

By J. Christopher Westland

This compact reference surveys the complete diversity of accessible structural equation modeling (SEM) methodologies. It stories functions in a large diversity of disciplines, rather within the social sciences the place many key options are usually not at once observable. this can be the 1st e-book to offer SEM’s improvement in its right ancient context–essential to figuring out the applying, strengths and weaknesses of every specific procedure. This ebook additionally surveys the rising direction and community ways that supplement and improve SEM, and that would develop significance within the close to destiny. SEM’s skill to deal with unobservable concept constructs via latent variables is of important value to social scientists. Latent variable idea and alertness are comprehensively defined and strategies are provided for extending their strength, together with directions for info guidance, pattern measurement calculation and the unique remedy of Likert scale information. Tables of software program, methodologies and healthy statistics supply a concise reference for any study application, supporting guarantee that its conclusions are defensible and publishable.

Show description

Read or Download Structural Equation Models: From Paths to Networks PDF

Best control systems books

Adaptive Control of Ill-Defined Systems

There are a few kinds of advanced structures which are equipped like clockwork, with well-defined elements that engage in well-defined methods, in order that the motion of the total may be accurately analyzed and expected with accuracy and precision. a few structures aren't themselves so well-defined, yet they are often modeled in ways in which are like educated pilots in well-built planes, or electrolyte stability in fit people.

Optical Recognition of Chinese Characters

Publication by way of NA, NA

Modeling and Control of Economic Systems 2001. A Proceedings volume from the 10th IFAC Symposium, Klagenfurt, Austria, 6 – 8 September 2001

This quantity comprises papers provided on the IFAC symposium on Modeling and regulate of monetary structures (SME 2001), which was once held on the college of Klagenfurt, Austria. The symposium introduced jointly scientists and clients to discover present theoretical advancements of modeling thoughts for monetary platforms.

Cyber Security: Analytics, Technology and Automation

The booklet, as well as the cyber threats and expertise, tactics cyber defense from many aspects as a social phenomenon and the way the implementation of the cyber defense procedure is conducted. The publication provides a profound thought of the main spoken phenomenon of this time. The publication is acceptable for a wide-ranging viewers from graduate to professionals/practitioners and researchers.

Extra resources for Structural Equation Models: From Paths to Networks

Example text

Erlat, H. (1972). Asymptotic properties of full information estimators in dynamic autoregressive simultaneous models. Los Angeles, CA: UCLA Department of Economics. , … Zarnowitz, V. (1972). Criteria for evaluation of econometric models. Annals of Economic and Social Measurement, 1(3), 291–325, NBER. Dijkstra, T. (1983). Some comments on maximum likelihood and partial least squares methods. Journal of Econometrics, 22(1), 67–90.  L. (1995). Effects of estimation methods, number of indicators per factor, and improper solutions on structural equation modeling fit indices.

W.  655–690). New York, NY: Springer.  (2009).  E.  W. ), Handbook of partial least squares: concepts, methods and applications in marketing and related fields. Berlin: Springer.  (2010).  E.  W.  171– 193). New York, NY: Springer.  R. (1999). Structural equation modeling analysis with small samples using partial least squares. ), Statistical strategies for small sample research (Vol.  307–342). Thousand oaks, CA: Sage.  J. (1972). Distributed lags: a survey. Los Angeles, CA: UCLA Department of Economics.

Wold (1961) had spent decades developing his algorithms for principal component analysis (PCA) (where his “components” could easily be identified with “latent variables”) and with canonical correlation, and proposed that path coefficients be pairwise estimated (concurring with Wright’s method) using his canonical correlation algorithm. His particular canonical correlation algorithm was created with the objective of maximizing the correlation between any two latent variables on a path. , the path coefficient) between any two latent variables on the path.

Download PDF sample

Rated 4.07 of 5 – based on 34 votes