# 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 | Published on Sep 16, 2010 in Mathematics (General)

\$19.95

## Description:

This paper looks at structural equation modeling,a statistical method of analysis that takes a hypothesis-testing 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 goodness-of-fit 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

## From the Paper:

"First order CFA models are depicted by one latent construct that consists of a specified number of observed variables--for 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 three-factor structure comprised of Biblical literalness, denomination, and religiosity. Each of these three factors has its own item-to-factor loadings, and each has a unique association with theological emphasis. Examples like this with multiple factor structures are models of a different order--second 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. 1-9, Newbury Park, CA: Sage Publications, Inc.
• Bollen, K.A. & Stine, R.A. (1993). Bootstrapping goodness-of-fit measures in structural equation models. In Kenneth A. Bollen & J. Scott Long (eds). Testing Structural Equation Models. pp. 111-135, 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. 136-162, 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/research-paper/structural-equation-modeling-129203/

### MLA Format

"Structural Equation Modeling" 16 September 2010. Web. 19 September. 2021. <https://www.academon.com/research-paper/structural-equation-modeling-129203/>