Arbuckle, J. L. (1996). Full information estimation in the presence of incomplete data. In G. A. Marcoulides & R. E. Schumacker (Eds.), Advanced structural equation modeling (pp. 243-277). Mahwah, NJ: Erlbaum.
2.
Arbuckle, J. L. (1997). Amos user's guide. Chicago: SmallWaters.
3.
Bentler, P. M. (1995). EQS structural equations program manual. Encino, CA: Multivariate Software.
4.
Bentler, P. M., & Weeks, D. G. (1980). Linear structural equations with latent variables. Psychometrika, 45, 289-308.
5.
Bentler, P. M., & Wu, E.J. C. (1995a). EQS for Macintosh users' guide. Encino, CA: Multivariate Software.
6.
Bentler, P. M., & Wu, E.J. C. (1995b). EQS for Windows users' guide. Encino, CA: Multivariate Software.
7.
Bollen, K. A. (1989). Structural equations with latent variables. New York: Wiley.
8.
Bollen, K. A., & Long, J. S. (Eds.). (1993). Testing structural equation models. Newbury Park, CA: Sage.
9.
Bollen, K. A., & Stine, R. A. (1993). Bootstrapping goodness-of-fit measures in structural equation models. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 111-135). Newbury Park, CA: Sage.
10.
Browne, M. W., Mels, G., & Cowan, M. (1994). Path analysis: RAMONA; SYSTAT for DOS advanced applications (Version 6, pp. 167-224). Evanston, IL: SYSTAT.
11.
Byrne, B. M. (1994). Structural equation modeling with EQS and EQS/Windows. Thousand Oaks, CA: Sage.
12.
Cole, D. A. (1987). Utility of confirmatory factor analysis in test validation research. Journal of Consulting and Clinical Psychology, 55, 584-594.
13.
Hartmann, W. M. (1992). The CALIS procedure: Extended user's guide. Cary, NC: SAS Institute.
14.
Hoyle, R. H. (Ed.). (1995). Structural equation modeling. Thousand Oaks, CA: Sage.
15.
Jöreskog, K. G., & Sörbom, D. (1993). LISREL 8: Structural equation modeling with the SIMPLIS command language. Chicago: Scientific Software International.
16.
Jöreskog, K. G., & Sörbom, D. (1996a). LISREL 8: User's reference guide. Chicago: Scientific Software International.
17.
Jöreskog, K. G., & Sörbom, D. (1996b). PRELIS2: User's reference guide. Chicago: Scientific Software International.
18.
Kaufman, A. S., & Kaufman, N. L. (1983). K-ABC administration and scoring manual. Circle Pines, MN: American Guidance Service.
19.
Keith, T. Z., Fugate, M. H., DeGraff, M., Diamond, C. M., Shadrach, E. A., & Stevens, M. L. (1995). Using multi-sample confirmatory factor analysis to test for construct bias: An example using the K-ABC. Journal of Psychoeducational Assessment, 13, 347-364.
20.
Kenny, D. A. (1979). Correlation and causality. New York: Wiley.
21.
Kline, R. B. (1998). Principles and practice of structural equation modeling. New York: Guilford.
22.
Loehlin, J. C. (1992). Latent variable models (2nd ed.). Hillsdale, NJ: Erlbaum.
23.
Marcoulides, G. A., & Schumacker, R. E. (Eds.). (1996). Advanced structural equation modeling. Mahwah, NJ: Erlbaum.
24.
McArdle, J. J., & Hamagami, F. (1996). Multilevel models from a multiple group structural equation perspective. In G. A. Marcoulides & R. E. Schumacker (Eds.), Advanced structural equation modeling (pp. 89-124). Mahwah, NJ: Erlbaum.
25.
Mueller, R. O. (1996). Basic principles of structural equation modeling. New York: Springer-Verlag.
26.
Muthén, B. (1987). LISCOMP: Analysis of linear structural equations with a comprehensive measurement model. Mooresville, IN: Scientific Software.
27.
Reynolds, C. R., & Kaiser, S. M. (1990). Bias in assessment of aptitude. In C. R. Reynolds & R. W. Kamphaus (Eds.). Handbook of psychological and educational assessment of children (pp. 611-653). New York: Guilford.
28.
Schumacker, R. E., & Lomax, R. G. (1996). A beginner's guide to structural equation modeling. Mahwah, NJ: Erlbaum.
29.
von Eye, A., & Clogg, C. C. (Eds.). (1994). Latent variables analysis. Thousand Oaks, CA: Sage.
