Nonconvergence, improper solutions, and starting values in lisrel maximum likelihood estimation

Author:

Boomsma Anne

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,General Psychology

Reference20 articles.

1. Anderson, J. C., & Gerbing, D. W. (1984). The effect of sampling error on convergence, improper solutions, and goodness-of-fit indices for maximum likelihood confirmatory factor analysis.Psychometrika, 49, 155–173.

2. Bentler, P. M., & Tanaka, J. S. (1983). Problems with EM algorithms for ML factor analysis.Psychometrika, 48, 247–251.

3. Boomsma, A. (1982). The robustness of LISREL against small sample sizes in factor analysis models. In K. G. Jöreskog & H. Wold (Eds.),Systems under indirect observation: causality, structure, prediction (Part 1, pp. 149–173). 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 Unpublished doctoral dissertation, University of Groningen, Groningen.

5. Gruvaeus, G. T., & Jöreskog, K. G. (1970).A computer program for minimizing a function of several variables (Research Bulletin 70-14). Princeton, NJ: Educational Testing Service.

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