# STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH

@article{Anderson1988STRUCTURALEM, title={STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH}, author={James C. Anderson and David W. Gerbing}, journal={Psychological Bulletin}, year={1988}, volume={103}, pages={411-423} }

In this article, we provide guidance for substantive researchers on the use of structural equation modeling in practice for theory testing and development. We present a comprehensive, two-step modeling approach that employs a series of nested models and sequential chi-square difference tests. We discuss the comparative advantages of this approach over a one-step approach. Considerations in specification, assessment of fit, and respecification of measurement models using confirmatory factor…

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## References

SHOWING 1-10 OF 118 REFERENCES

Confirmatory Factor-Analytic Structures and the Theory Construction Process

- Mathematics
- 1973

The confirmatory factor-analytic model of analysis is discussed in terms of the general process of constructing social theory-the generation of parameter estimates for a proposed structure, the…

Significance Tests and Goodness of Fit in the Analysis of Covariance Structures

- Mathematics
- 1980

Factor analysis, path analysis, structural equation modeling, and related multivariate statistical methods are based on maximum likelihood or generalized least squares estimation developed for…

A general structural equation model with dichotomous, ordered categorical, and continuous latent variable indicators

- Mathematics
- 1984

A structural equation model is proposed with a generalized measurement part, allowing for dichotomous and ordered categorical variables (indicators) in addition to continuous ones. A computationally…

Structural modeling and psychometrika: An historical perspective on growth and achievements

- Mathematics
- 1986

The field of linear structural equation modeling with continuous variables is reviewed. Trends in psychometric theory and data analysis across the five decades of publication ofPsychometrika are…

Testing a simple structure hypothesis in factor analysis

- Mathematics, MedicinePsychometrika
- 1966

The maximum-likelihood method is used to estimate the factor matrix and the factor correlation matrix directly without the use of rotation methods, and the likelihood-ratio technique isused to test the simple structure hypothesis.

Covariance Structures Under Polynomial Constraints: Applications to Correlation and Alpha-Type Structural Models

- Mathematics
- 1983

This paper provides methods for the estimation of covariance structure models under polynomial constraints. Estimation is based on maximum likelihood principles under constraints, and the test…

Structural analysis of covariance and correlation matrices

- Mathematics
- 1978

A general approach to the analysis of covariance structures is considered, in which the variances and covariances or correlations of the observed variables are directly expressed in terms of the…

Methodology Review: Assessing Unidimensionality of Tests and ltenls

- Mathematics
- 1985

Various methods for determining unidimensionality are reviewed and the rationale of these methods is as sessed. Indices based on answer patterns, reliability, components and factor analysis, and…

Multistructure Statistical Model Applied To Factor Analysis.

- Mathematics, MedicineMultivariate behavioral research
- 1976

A general statistical model for the multivariate analysis of mean and covariance structures is described, which has common-factor loadings that are invariant with respect to variable scaling and unique variances that must be positive.

A Second-Order Longitudinal Model Of Ability Structure.

- Psychology, MedicineMultivariate behavioral research
- 1980

A reanalysis of a structural equation model for the development of intellectual abilities between the ages of 10 and 13 concluded that much of the stability found by Olsson and Bergman could be accounted for by the stability of G, and that development on each primary factor was heavily dependent on development of G.