Structural Equation Modeling Research Paper
Structural Equation Modeling
A summary of structural equation modeling as an analytic technique that could be used in social scientific data analysis.
# 129203
 3,559 words
 7 sources
 APA
 2005

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on Sep 16, 2010
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Mathematics
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Description:
This paper looks at structural equation modeling,a statistical method of analysis that takes a hypothesistesting or inferential approach to understanding causal processes. The paper begins by discussing first and second order factor analytic measurement models. It then provides an overview of goodnessoffit indexes and MIs and addresses important issues surrounding each of these topics. The paper also examines structural models.
Outline:
Introduction
Measurement Models
First Order CFA Models
Second Order CFA Models
Structural Models
Conclusion
Outline:
Introduction
Measurement Models
First Order CFA Models
Second Order CFA Models
Structural Models
Conclusion
From the Paper:
"First order CFA models are depicted by one latent construct that consists of a specified number of observed variablesfor example, Biblical literalness is a latent variable that is explained by six items (see the work of Grasmick and colleagues in the early 1990s). Often, factorial structures consist of a latent variable that is explained by a certain number of factors, each of which is associated with a given number of items. For example, theological emphasis might be a threefactor structure comprised of Biblical literalness, denomination, and religiosity. Each of these three factors has its own itemtofactor loadings, and each has a unique association with theological emphasis. Examples like this with multiple factor structures are models of a different ordersecond order in cases like the one previously discussed, with two 'layers' of latent variables, third order in cases with three 'layers' of latent variables, etc. (Byrne, 2001)."Sample of Sources Used:
 AMOS 4.0 Userguide.
 Byrne, B.M. (2001). Structural equation modeling with AMOS: basic concepts, applications, and programming. Mahwah, NJ: Lawrence Erlbaum Associates, Inc., Publishers.
 Bollen, K.A. & Long, J.S. (1993). Introduction. In Kenneth A. Bollen & J. Scott Long (eds). Testing Structural Equation Models. pp. 19, Newbury Park, CA: Sage Publications, Inc.
 Bollen, K.A. & Stine, R.A. (1993). Bootstrapping goodnessoffit measures in structural equation models. In Kenneth A. Bollen & J. Scott Long (eds). Testing Structural Equation Models. pp. 111135, Newbury Park, CA: Sage Publications, Inc.
 Browne, M.W. & Cudeck, R. (1993). Alternative ways of assessing model fit. In Kenneth A. Bollen & J. Scott Long (eds). Testing Structural Equation Models. pp. 136162, Newbury Park, CA: Sage Publications, Inc.
Cite this Research Paper:
APA Format
Structural Equation Modeling (2010, September 16)
Retrieved September 19, 2021, from https://www.academon.com/researchpaper/structuralequationmodeling129203/
MLA Format
"Structural Equation Modeling" 16 September 2010.
Web. 19 September. 2021. <https://www.academon.com/researchpaper/structuralequationmodeling129203/>