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J. Scott Long Confirmatory Factor Analysis. A Preface to LISREL. Sage University Paper series on Quantitative Application in the Social Sciences 07-033. Beverly Hills and London: Sage, 1983. 88 pp. $5.00. - J. Scott Long Covariance Structure Models. An Introduction to LISREL. Sage University Paper series on Quantitative Application in the Social Sciences 07-034. Beverly Hills and London: Sage, 1983. 95 pp. $5.00. - B. S. Everitt An Introduction to Latent Variable Models. Monographs on Statistics and Applied Probability. London and New York: Chapman and Hall, 1984. 107 pp. $20.00. - W. Saris and H. Stronkhorst Causal Modelinff in Nonexperimental Research. An Introduction to the LISREL Approach. Amsterdam, The Netherlands, Sociometric Research Foundation, 1984. 335 pp. approximately $14.00.

Review products

J. Scott Long Confirmatory Factor Analysis. A Preface to LISREL. Sage University Paper series on Quantitative Application in the Social Sciences 07-033. Beverly Hills and London: Sage, 1983. 88 pp. $5.00.

J. Scott Long Covariance Structure Models. An Introduction to LISREL. Sage University Paper series on Quantitative Application in the Social Sciences 07-034. Beverly Hills and London: Sage, 1983. 95 pp. $5.00.

B. S. Everitt An Introduction to Latent Variable Models. Monographs on Statistics and Applied Probability. London and New York: Chapman and Hall, 1984. 107 pp. $20.00.

Published online by Cambridge University Press:  01 January 2025

Jan de Leeuw*
Affiliation:
University of Leiden

Abstract

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Type
Reviews
Copyright
Copyright © 1985 The Psychometric Society

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References

Cliff, N. (1983). Some cautions concerning the application of causal modeling methods. Multivariate Behavioral Research, 18, 115128.CrossRefGoogle ScholarPubMed
Freedman, D. A. (1983). Structural-equation models: A case study, Berkeley: University of California, Department of Statistics.Google Scholar
Goldberger, A. S. (1983). Review ofCausal analysis: Assumptions, models and data by Lawrence J. James, Stanley A. Mulaik, and Jeanne M. Brett. Contemporary Psychology, 28, 858859.CrossRefGoogle Scholar
Guttman, L. (1977). What is not what in statistics. The Statistician, 26, 81107.CrossRefGoogle Scholar
James, L. J., Mulaik, S. A., Brett, J. M. (1982). Causal analysis: Assumptions, models, and data, Beverly Hills: Sage.Google Scholar
Jöreskog, K. G., Sörbom, D. (1984). LISREL VI. Analysis of linear structural relationships by maximum likelihood, instrumental variables, and least squares methods, Mooresville, IN: Scientific Software.Google Scholar
Kenny, D. A. (1979). Correlation and Causality, New York: Wiley.Google Scholar
Kiiveri, H., Speed, T. P. (1982). Structural analysis of multivariate data: A review. In Leinhardt, S. (Eds.), Sociological Methodology 1982, San Francisco: Jossey-Bass.Google Scholar
Ling, R. F. (1982). Review ofCorrelation and Causality by David A. Kenny. Journal of the American Statistical Association, 77, 489491.CrossRefGoogle Scholar