پژوهشگاه مطالعات آموزش وپرورش (1391). نتایج تیمز و پرلز، 2011. تهران: نویسنده
نقش، زهرا. (1996). تحلیل چند سطحی؛ راهکای برای خطاهای حاصل از تجمیع داده ها: استفاده از داده های سطح دانشآموز و معلم تیمز 2011. فصلنامة مطالعات اندازهگیری و ارزشیابی آموزشی، 7(18)، 146-127.
Afshartous, D. (1995). Determination of Sample Size for Multilevel Model Design. Paper Presented at the AERA meeting in San Francisco, CA.
Bell, B. A., Morgan, G. B., Kromrey J. D., Ferron, J. M. (2010). The impact of small cluster size on multilevel models: a Monte Carlo examination of two-level models with binary and continuous predictors. JSM Proceedings, Survey Research Methods Section, 1(1), 4057-4067.
Browne, W. J., Draper, D. (2000). Implementation and performance issues in the Bayesian and likelihood fitting of multilevel models. Computational Statistics, 15, 391-420.
Browne, W. J, Golalizadeh, M. & Parker, R. (2009). A Guide to Sample Size Calculations for Random Effect Models via Simulation and ML Pow Sim Software Package. Bristol: Bristol University Press.
Busing F. (1993). Distribution characteristics of variance estimates in two-level models. Unpublished manuscript, Leiden University, Researchgate.net.
Clarke, P. & Wheaton, B. (2007). Addressing data sparseness in contextual population research using cluster analysis to create synthetic neighborhoods. Sociological Methods & Research, 35(3), 311-351.
Cohen, M. (1998). Determining Sample Size for Surveys with Data Analyzed by Hierarchical Linear Models. Journal of Official Statistics, 14(3), 267-257.
Goldstein, H. & Silver, R. (1989). Multilevel and Multivariate Models in Survey Analysis. In C. J Skinner, D. Holt, and T. M. F. Smith (Eds.), Analysis of Complex Surveys (pp. 221-235). New York: John Wiley and Sons.
Hox, J. J. (1998). Multilevel modeling: When and why. In I. Balderjahn, R. Mathar, M. Schader (Eds.), Classification, data analysis, and data highways (pp. 147-154). New York: Springer Verlag,
Kreft, I. G. G. (1996). Are multilevel techniques necessary? An overview, including simulation studies. Unpublished manuscript, California State University at Los Angeles. ERIC Number: ED371033.
Longford, N.T. (1987). A First Scoring Algorithm for Maximum Likelihood Estimation in Unbalanced Mixed Models with Nested Effects. Biometrika, 74(4), 812-827.
Maas, C. J. M., & Hox, J. J. (2004). Robustness issues in multilevel regression analysis. Statistica Neerlandica, 58(2), 127-137.
Maas, C. J. M., & Hox, J. J. (2005). Sufficient sample sizes for multilevel modeling. Methodology, 1(3), 86-92.
Moerbeek, M., Van Breukelen, G.J.P., & Berger, M.P.F. (2001). Optimal Experimental Designs for Multilevel Models with Covariates. Communications in Statistics-Theory and Methods, 30(12), 2683-2697.
Mok M. (1995). Sample size requirements for 2-level designs in educational research. Unpublished manuscript, Macquarie University.
Newsom J. T., Nishishiba M. (2002). Nonconvergence and sample bias in hierarchical linear modeling of dyadic data. Unpublished Manuscript, Portland State University.
Snijders, T. A. B. (2005). Power and Sample Size in Multilevel Linear Models’. In B.S. Everitt and D.C. Howell (Eds.), Encyclopedia of Statistics in Behavioral Science (Vol. 3, pp. 570–1573). Chicester etc.: Wiley, 2005.
Snijders, T. A. B., & Bosker R. J. (1993). Standard Errors and Sample Sizes for Two-Level Research. Journal of Educational Statistics, 3(18), 237-259.
Snijder, T.A.B. & Bosker, R.J. (1999). Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling Multilevel Statistical Models. London etc.: Sage Publication.
Politis, D.N., Romano, J.P. & Wolf, M. (1999). Subsampling .New York: Springer.