The robustness of maximum likelihood and distribution-free estimators to non-normality in confirmatory factor analysis

Author:

Benson Jeri,Fleishman John A.

Publisher

Springer Science and Business Media LLC

Subject

General Social Sciences,Statistics and Probability

Reference20 articles.

1. Anderson, T. & Amemiya, Y. (1988). The asymptotic normal distribution of estimators in factor analysis under general conditions,Annals of Statistics 16: 759?771.

2. Anderson, J. & Gerbing, W. (1984). The effect of sampling error on convergence, improper solutions and goodness-of-fit indices for maximum likelihood confirmatory factor analyses,Psychometrika 49: 155?173.

3. Boomsma, A. (1982). The robustness of LISREL against small sample sizes in factor analysis models. In K. Jöreskog & H. Wold (Eds.),Systems under Indirect Observation, Amsterdam: North-Holland.

4. Boomsma, A. (1983).On the Robustness of LISREL (Maximum Likelihood Estimation) Against Small Sample Size and Non-Normality, unpublished doctoral dissertation, University of Groningen. Groningen, Netherlands.

5. Boomsma, A. (1985). Nonconvergence, improper solutions and starting values in LISREL maximum likelihood estimation,Psychometrika 50: 229?242.

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