Factor models for ordinal variables with covariate effects on the manifest and latent variables: A comparison of LISREL and IRT approaches

Structural Equation Modeling

Volumn 11, Issue 4, 2004, Pages 487-513

  Moustaki, Irini ^a   Jöreskog, Karl G ^b   Mavridis, Dimitris ^a  

^a ATHENS UNIVERSITY OF ECONOMICS AND BUSINESS   (Greece)

^b UPPSALA UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; MATHEMATICAL MODELS; MATRIX ALGEBRA; NUMERICAL METHODS; SOCIAL SCIENCES; VARIATIONAL TECHNIQUES;

COVARIATE EFFECTS; ITEM RESPONSE THEORY (IRT); VARIABLE INTERRELATIONS;

DATA REDUCTION;

EID: 8344247701     PISSN: 10705511     EISSN: None     Source Type: Journal    
DOI: 10.1207/s15328007sem1104_1     Document Type: Article

References (16)

1. Bentler, P. M. (1992). EQS: Structural equation program manual Los Angeles: BMDP Statistical Software.
2. Croon, M., & Bolck, A. (1997). On the use of factor scores in structural equations models (Tech. Rep. No. 97.10.102/7). Work and Organization Research Centre, Tilburg University. (WORC Paper). The Netherlands.
3. Glas, C. (2001). Differential item functioning depending on general covariates. In A. Boomsma, M. van Duijn, & T. Snijders (Eds.), Essays on item response theory (pp. 131-145). New York: Springer-Verlag.
4. Jöreskog, K. G. (2002). Structural equation modeling with ordinal variables using LISREL Retrieved June 2002 from the World Wide Web: http://www.ssicentral.com/lisrel/ordinal.htm
5. Jöreskog, K. G., & Goldberger, A. S. (1975). Estimation of a model with multiple indicators and multiple causes of a single latent variable. Journal of the American Statistical Association, 70, 631-639.
6. Jöreskog, K. G., & Moustaki, I. (2001). Factor analysis of ordinal variables: A comparison of three approaches. Multivariate Behavioral Research, 36, 341-387.
7. Jöreskog, K. G., & Sörbom, D. (1999). LISREL 8 user's reference guide. Chicago: Scientific Software International.
8. Jöreskog, K. G., Sörbom, D., Du Toit, S., & Du Toit, M. (2001). LISREL 8: New statistical features. Chicago: Scientific Software International.
9. Moustaki, I. (2001). A review of exploratory factor analysis for ordinal categorical data. In R. Cudeck, S. Du Toit, & D. Sörbom (Eds.), Structural equation modeling: Present and future (pp. 462-480). Chicago: Scientific Software International.
10. Moustaki, I. (2003). A general class of latent variable models for ordinal manifest variables with covariate effects on the manifest and latent variables. British Journal of Mathematical and Statistical Psychology, 56, 331-357.
11. Motistaki, L., & Knott, M. (2000). Generalized latent trait models. Psychometrika, 65, 391-411.
12. Muthén, B. O. (1989). Latent variable modeling in heterogeneous populations. Psychometrika, 54, 551-585.
13. Muthén, B. O., & Muthén, L. (2000). Mplus: The comprehensive modeling program to applied researchers. Los Angeles: Author.
14. Sammel, R. B., Ryan, L. M., & Legler, J. M. (1997). Latent variable models for mixed discrete and continuous outcomes. Journal of the Royal Statistical Society B, 59, 661-678.
15. Verhelst, N., Glas, C., & Verstralen, H. (1994). Oplm: Computer program and manual. Armhem: CITO.
16. Zwinderman, A. (1997). Response models with manifest predictors. In W. van der Linden & R. Hambleton (Eds.), Handbook of item response theory (pp. 245-256). New York: Springer.