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- Abelson, R. P. (1995). Statistics as principled argument. Hillsdale, NJ: Lawrence Erlbaum.
- Baayen, R. H. (2008). Analyzing linguistic data. A practical introduction to statistics using R. Cambridge: Cambridge University Press.
- Barcikowski, R. S. (1981). Statistical power with group mean as the unit of analysis. Journal of Educational and Behavioral Statistics, 6(3), 267-285.
- Bates, D. (2006, May 19). lmer, p-values and all that [Electronic mailing list message]. Retrieved from https://stat.ethz.ch/pipermail/r-help/2006-May/094765.html
- Bates, D., Martin, M., Bolker, B., & Walker, S. (2014). lme4: Linear mixed-effects models using Eigen and S4. R package (version 1.1-7) [Computer software]. Retrieved from http://cran.r-project.org/package=lme4
- Blair, R. C., & Higgins, J. J. (1986). Comment on “Statistical power with group mean as the unit of analysis.” Journal of Educational and Behavioral Statistics, 11(2), 161-169.
- Bloom, H. S., Richburg-Hayes, L., & Black, A. R. (2007). Using covariates to improve precision for studies that randomize schools to evaluate educational interventions. Educational Evaluation and Policy Analysis, 29(1), 30-59.
- Campbell, M. J., Donner, A., & Klar, N. (2007). Developments in cluster randomized trials and Statistics in Medicine. Statistics in Medicine, 26, 2-19.
- Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155-159.
- Cohen, J. (1994). The Earth is round (p < .05). American Psychologist, 49, 997-1003.
- Dalton, S., & Overall, J. E. (1977). Nonrandom assignment in ANCOVA: The alternate ranks design. Journal of Experimental Education, 46(1), 58-62.
- Faraway, J. J. (2006). Extending the linear model with R: Generalized linear, mixed effect and nonparametric regression models. Boca Raton, FL: Chapman & Hall/CRC.
- Gelman, A., & Loken, E. (2013). The garden of forking paths: Why multiple comparisons can be a problem, even when there is no “fishing expedition” or “p-hacking” and the research hypothesis was posited ahead of time. Unpublished manuscript. Retrieved on 31 August 2014 from http://www.stat.columbia.edu/~gelman/research/unpublished/p_hacking.pdf
- Halekoh, U., & Højsgaard, S. (2014). pbkrtest: Parametric bootstrap and Kenward Roger based methods for mixed model comparison. R package (version 0.4-0) [Computer software]. Retrieved from http://cran.r-project.org/package=pbkrtest
- Hedges, L. V. (2007). Correcting a significance test for clustering. Journal of Educational and Behavioral Statistics, 32(2), 151-179.
- Hedges, L. V., & Hedberg, E. C. (2007). Intraclass correlation values for planning group-randomized trials in education. Educational Evaluation and Policy Analysis, 29(1), 60-87.
- Hendrix, L. J., Carter, M. W., & Hintze, J. L. (1978). A comparison of five statistical methods for analyzing pretest-posttest designs. Journal of Experimental Education, 47(2), 96-102.
- Huck, S. W., & McLean, R. A. (1975). Using a repeated measures ANOVA to analyze the data from a pretest-posttest design: A potentially confusing task. Psychological Bulletin, 82(4), 511.
- Imai, K., King, G., & Stuart, E. A. (2008). Misunderstandings between experimentalists and observationalists about causal inference. Journal of the Royal Statistical Society: Series A (Statistics in Society), 171(2), 481-502.
- Killip, S., Mahfoud, Z., & Pearce, K. (2004). What is an intracluster correlation coefficient? Crucial concepts for primary care researchers. The Annals of Family Medicine, 2(3), 204-208.
- Lazaraton, A. (2005). Quantitative research methods. In E. Hinkel (Ed.), Handbook of research in second language learning (pp. 209-224). Mahwah, NJ: Lawrence Erlbaum.
- Lee, K. J., & Thompson, S. G. (2005). Clustering by health professional in individually randomised trials. BMJ, 330, 142-144.
- Maris, E. (1998). Covariance adjustment versus gain scores—revisited. Psychological Methods, 3(3), 309-327.
- Maxwell, S. E., Delaney, H. D., & Dill, C. A. (1984). Another look at ANCOVA versus blocking. Psychological Bulletin, 95(1), 136-147.
- McAweeney, M. J., & Klockars, A. J. (1998). Maximizing power in skewed distributions: Analysis and assignment. Psychological Methods, 3(1), 117.
- Moerbeek, M. (2006). Power and money in cluster randomized trials: When is it worth measuring a covariate? Statistics in Medicine, 25(15), 2607-2617.
- Moore, R. T. (2012). Multivariate continuous blocking to improve political science experiments. Political Analysis, 20(4), 460-479.
- Moore, R. T., & Moore, S. A. (2013). Blocking for sequential political experiments. Political Analysis, 21(4), 507-523.
- Murray, D. M., & Blitstein, J. L. (2003). Methods to reduce the impact of intraclass correlation in group-randomized trials. Evaluation Review, 27(1), 79-103.
- 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(3), 423-432.
- Mutz, D., & Pemantle, R. (2013). The perils of randomization checks in the analysis of experiments. Unpublished manuscript. Retrieved on 31 August 2014 from http://www.math.upenn.edu/~pemantle/papers/Preprints/perils.pdf
- Oehlert, G. W. (2010). A first course in the design and analysis of experiments. Retrieved from http://users.stat.umn.edu/~gary/Book.html
- Schmidt, F. L. (1996). Statistical significance testing and cumulative knowledge in psychology: Implications for training of researchers. Psychological Methods, 1, 115-129.
- Simmons, J. P., Nelson, L. D., & Simonsohn, U. (2011). False-positive psychology undisclosed flexibility in data collection and analysis allows presenting anything as significant. Psychological Science, 22(11), 1359-1366.
- Schochet, P. Z. (2008). Statistical power for random assignment evaluations of education programs. Journal of Educational and Behavioral Statistics, 33(1), 62-87.
- Spybrook, J., Bloom, H., Congdon, R., Hill, C., Martinez, A., & Raudenbush, S. (2011). Optimal design for longitudinal and multilevel research: Documentation for the Optimal Design (version 3.0) [Computer software]. Retrieved from http://hlmsoft.net/od/od-manual-20111016-v300.pdf
- Van Breukelen, G. J. (2006). ANCOVA versus change from baseline had more power in randomized studies and more bias in nonrandomized studies. Journal of Clinical Epidemiology, 59(9), 920-925.
- Walsh, J. E. (1947). Concerning the effect of intraclass correlation on certain significance tests. The Annals of Mathematical Statistics, 18(1), 88-96.