Correcting a significance test for clustering

Journal of Educational and Behavioral Statistics

Volumn 32, Issue 2, 2007, Pages 151-179

  Hedges, Larry V ^a  

^a NORTHWESTERN UNIVERSITY   (United States)

Author keywords

Cluster randomized trials; Intraclass correlations; Multilevel models; Significance tests

Indexed keywords

EID: 34250221076     PISSN: 10769986     EISSN: None     Source Type: Journal    
DOI: 10.3102/1076998606298040     Document Type: Article

References (25)

1. Barcikowski, R. S. (1981). Statistical power with group mean as the unit of analysis. Journal of Educational Statistics, 6, 267-285.
2. Blair, R. C., & Higgins, J. J. (1986). Comment on "Statistical power with group mean as the unit of analysis." Journal of Educational Statistics, 11, 161-169.
3. Blitstein, J. L., Hannan, P. J., Murray, D. M., & Shadish, W. R. (2005). Increasing degrees of freedom in existing group randomized trials through the use of external estimates of intraclass correlation: The df* approach. Evaluation Review, 29, 241-267.
4. Blitstein, J. L., Murray, D. M., Hannan, P. J., & Shadish, W. R. (2005). Increasing degrees of freedom in future group randomized trials through the use of external estimates of intraclass correlation: The df* approach. Evaluation Review, 29, 268-286.
5. Box, G. E. P. (1954). Some theorems on quadratic forms applied to the study of analysis of variance problems: I. Effect of inequality of variance in the one-way classification. Annals of Mathematical Statistics, 25, 290-302.
6. Donner, A., & Klar, N. (2000). Design and analysis of cluster randomization trials in health research. London: Arnold.
7. Donner, A., & Koval, J. J. (1982). Design considerations in the estimation of intraclass correlations. Annals of Human Genetics, 46, 271-277.
8. Geisser, S., & Greenhouse, S. W. (1958). An extension of Box's results on the use of the F distribution in multivariate analysis. Annals of Mathematical Statistics, 29, 885-891.
9. Gulliford, M. C., Ukoumunne, O. C., & Chinn, S. (1999). Components of variance and intraclass correlations for the design of community-based surveys and intervention studies: Data from the Health Survey for England 1994. American Journal of Epidemiology, 149, 876-883.
10. Hannan, P. J., Murray, D. M., Jacobs, D. R., & McGovern, P. G. (1994). Parameters to aid in the design and analysis of community trials: Intraclass correlations from the Minnesota heart health program. Epidemiology, 5, 88-95.
11. Hedges, L. V. & Hedberg, E. C. (2007). Intraclass correlations for planning group-randomized trials in education. Educational Evaluation and Policy Analysis, 29, 60-87.
12. Hopkins, K. D. (1982). The unit of analysis: Group means versus individual observations. American Educational Research Journal, 19, 5-18.
13. Johnson, N. L., & Kotz, S. (1970). Distributions in statistics - Continuous univariate distributions-2. New York: John Wiley.
14. Kirk, R. (1995). Experimental design. Belmont, CA: Brooks/Cole.
15. Klar, N., & Donner, A. (2001). Current and future challenges in the design and analysis of cluster randomization trials. Statistics in Medicine, 20, 3729-3740.
16. Kish, L. (1965). Survey sampling. New York: John Wiley.
17. Murray, D. M. (1998). Design and analysis of group-randomized trials. New York: Oxford University Press.
18. Murray, D. M., & Blitstein, J. L. (2003). Methods to reduce the impact of intraclass correlation in group-randomized trials. Evaluation Review, 27, 79-103.
19. Murray, D. M., Hannan, P. J., & Baker, W. L. (1996). A Monte Carlo study of alternative responses to intraclass correlation in community trials. Evaluation Review, 20, 313-337.
20. Murray, D. M., Varnell, S. P., & Blitstein, J. L. (2004). Design and analysis of group-randomized trials: A review of recent methodological developments. American Journal of Public Health, 94, 423-432.
21. Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical linear models. Thousand Oaks, CA: Sage.
22. Ridgway, J. E., Zawgewski, J. S., Hoover, M. N., & Lambdin, D. V. (2002). Student attainment in connected mathematics curriculum. In S. L. Senk & D. R. Thompson (Eds.), Standards-based school mathematics curricula: What are they? What do students learn? (pp. 193-224). Mahwah, NJ: Lawrence Erlbaum.
23. Searle, S. R., Casella, G., & McCulloch, C. E. (1992). Variance components. New York: John Wiley.
24. Skinner, C. J., Holt, D., & Smith, T. M. F. (1989). The analysis of complex surveys. New York: John Wiley.
25. Verma, V., & Lee, T. (1996). An analysis of sampling errors for demographic and health surveys. International Statistical Review, 64, 265-294.