Hostname: page-component-5f745c7db-hj587 Total loading time: 0 Render date: 2025-01-06T05:56:46.732Z Has data issue: true hasContentIssue false
  • English
  • Français

E. Meijer. Structural Equation Models for Nonnormal Data. Leiden, The Netherlands: DSWO Press, 1998. ISBN: 90-9011873-X, pp. 185. Price: Dfl. 45 (approx. $23US).

Review products

E. Meijer. Structural Equation Models for Nonnormal Data. Leiden, The Netherlands: DSWO Press, 1998. ISBN: 90-9011873-X, pp. 185. Price: Dfl. 45 (approx. $23US).

Published online by Cambridge University Press:  01 January 2025

Kees van Montfort
Kees van Montfort*
Affiliation:
Free University Amsterdam
Get access Rights & Permissions [Opens in a new window]

Abstract

An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Reviews
Information
Psychometrika , Volume 64 , Issue 3 , September 1999 , pp. 395 - 397
Copyright
Copyright © 1999 The Psychometric Society

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Bentler, P.M. (1989). EQS structural equation program manual, Los Angeles: BMDP.Google Scholar
Bentler, P.M., & Weeks, D.G. (1980). Linear structural equations with latent variables. Psychometrika, 45, 289–308.CrossRefGoogle Scholar
Browne, MW. (1984). Asymptotically distribution-free methods for the analysis of covariance structures. British Journal of Mathematical and Statistical Psychology, 37, 62–83.CrossRefGoogle ScholarPubMed
Jöreskog, K.G., & Sörbom, D. (1981). LISREL V user's guide, Chicago: International Educational Services.Google Scholar
Jöreskog, K.G., & Sörbom, D. (1993). LISREL 8 user's reference guide, Chicago: Scientific Software International.Google Scholar
Jöreskog, K.G., & Yang, F. (1996). Nonlinear structural equation models: The Kenny-Judd model with interaction effects. In Marcoulides, G.A., & Schumacker, R.E. (Eds.), Advanced structural equation modeling: Issues and techniques (pp. 57–88). Mahwah, NJ: Erlbaum.Google Scholar
Lewis-Beck, M.S. (1993). Regression analysis, London: Sage/Toppan.Google Scholar
McArdle, J.J., & McDonald, R.P. (1984). Some algebraic properties of the Reticular Action Model for moment structures. British Journal of Mathematical and Statistical Psychology, 37, 234–251.CrossRefGoogle ScholarPubMed
Mooijaart, A., & Bentler, P.M. (1986). Random polynomial factor analysis. In Diday, E., Escoufier, Y., Lebart, L., Pagès, J.P., Schektman, Y., & Tomassone, R. (Eds.), Data analysis and informatics, IV (pp. 241–250). Amsterdam: North Holland.Google Scholar