Ferron, J. (1997). Moving between hierarchical modeling notations. Journal of Educational and Behavioral Statistics, 22, 119-12.
Hayes, W. L. (1973). Statistics for the Social Sciences. New York: Holt, Rinehart, \& Winston
Henderson, C. R. (1953). Estimation of variance and covariance components. Biometrics, 9, 226-252.
Hox, J. J. (1994). Multilevel analysis methods. Sociological Methods & Research, 22, 283-299.
Littell, R. C., Milliken, G. A., Stroup, W. A., Wolfinger, R. D., & Schabenberger, O. (2006).
Maxwell, S. E. & Delaney, H. D. (2004).
Norusis, M. J. (2005). SPSS 14.0 Advanced Statistical Procedures Companion. Upper Saddle, NJ: Prentice Hall.
Peugh, J. L. & Enders, C. K. (2005). Using the SPSS mixed procedure to fit cross-sectional and longitudinal multilevel models. Educational and Psychological Measurement, 65, 714-741.
Raudenbush, S.W. & Bryk, A. S. (2002). Hierarchical Linear Models: Applications and Data Analysis Methods, Second Edition. Newbury Park, CA: Sage.
Raudenbush, S., Bryk, A., Cheong, Y. F., & Congdon, R. (2005). HLM 6: Hierarchical Linear and Nonlinear Modeling. Lincolnwood, IL: Scientific Software International.
Rabe-Hesketh, S. & Skrondal A. (2005). Multilevel and Longitudinal Modeling using Stata. College Station, TX: StataCorp LP.
Searle, S. R., Casella, G., & McCulloch, C. E. (1992). Variance Components. New York: Wiley.
Singer, J. D. (1998). Using SAS PROC MIXED to fit multilevel models, hierarchical models, and individual growth models. Journal of Educational and Behavioral Statistics, 24, 323-355.
Snijders, T. A. B., & Bosker, R. J. (1999). Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling. Thousand Oaks, CA: Sage.
StataCorp. (2005). Stata Longitudinal/Panel Data Reference Manual, Release 9. College Station, TX: StataCorp LP.