Willms, J.D. & Smith, T. (2005) A Manual for Conducting Analyses with Data from TIMMS and PISA. A report prepared for the UNESCO Institute for Statistics.

Willms, J.D. (2003). PISA 2000: Socioeconomic Status and Reading Performance of French- and Italian-speaking Swiss Students. Report commissioned by the Service de la Recherche en Éducation. Genève, Switzerland.

Boyle, M. H., & Willms, J. D. (2001). Multilevel Modelling of Hierarchical Data in Development Studies. Journal of Childhood Psychology and Psychiatry, 42(1). 141-162.

Literacy skills for the knowledge society: Further results from IALS. Paris: OECD, Ottawa: HRDC & Statistics Canada.

McGill, R., Tukey, J. W., & Larsen, W. A. (1978). Variations of box plots. The American Statistician, 32(1), 12-16.

Willms, J. D. (1999). Basic concepts in hierarchical linear modelling with applications for policy analysis. In G. J. Cizek (Ed.), Handbook of Educational Policy. New York: Academic Press.

Willms, J. D. (in press). A Study of Vulnerable Children. In J. D. Willms (ed), Vulnerable Children: Findings from Canada's Longitudinal Study of Children and Youth. Edmonton, AB: University of Alberta Press.

Willms, J. D. & Kerckhoff, A. C. (1995). The challenge of developing new social indicators. Educational Evaluation and Policy Analysis, 17(1), 113-131.

Willms, J. D. & Paterson, L. (1995). A multilevel model for community segregation. Journal of Mathematical Sociology, 20(1), 23-40.

Kim, J. O., & Curry, J. (1977). The treatment of missing data in multivariate analysis. Sociological Methods and Research, 6(2), 215-240.

Willms, J. D. (2001). Three hypotheses about community effects. In John Helliwell (Ed.), The contribution of investment in human and social capital to sustained economic growth and well-being. Ottawa: Human Resources Development Canada.

Willms, J. D. (1992). Monitoring school performance: A guide for educators. Lewes: Falmer Press.

Raudenbush, S. W. & Willms, J. D. (1995). The estimation of school effects. Journal of Educational and Behavioral Statistics, 20(4), 307-335.

Willms, J. D., & Somers, M-A. (in press). Family, classroom, and school effects on children's educational outcomes. International Journal of School Effectiveness and Improvement.

Ho, E. & Willms, J. D. (1996). The effects of parental involvement on eighth grade achievement. Sociology of Education, 69, 126-141.

Raffe, D. & Willms, J. D. (1989). Schooling the discouraged worker: Local-labour-market effects on educational participation. Sociology, 23(4), 559-581.

Rumberger, R. & Willms, J. D. (1992). The impact of racial and ethnic segregation on the achievement gap in California high schools. Educational Evaluation and Policy Analysis, 14(4), 377-396.

Willms, J. D. (2000). Standards of Care: Investments to Improve Children's Educational Outcomes in Latin America. Report prepared for the World Bank, and presented at the "Year 2000 Conference on Early Childhood Development", Washington, D.C.

Bryk, A. S. (1991). Hierarchical linear models for social and behavioural research: Applications and data analysis methods. Chicago: University of Chicago. (Chapter on meta-analysis).

Willms, J. D. & Jacobsen, S. (1990). Growth in mathematics skills during the intermediate years: Sex differences and school effects. International Journal of Educational Research, 14, 157-174.

Willms, J. D. & Raudenbush, S. W. (1989). A longitudinal hierarchical linear model for estimating school effects and their stability. Journal of Educational Measurement, 26(3), 209-232.

Ma, X., & Willms, J. D. (1999). Dropping out of advanced mathematics: How much do students and schools contribute to the problem? Educational Evaluation and Policy Analysis, 21(4), 365-383.

Willms, J. D. (1999). Inequalities in literacy skills among youth in Canada and the United States.
(International Adult Literacy Survey No. 6). Ottawa, ON: Human Resources Development Canada and National Literacy Secretariat.