3. Statistical papers

Hox, J., Moerbeek, M., Kluytmans, A. & Van De Schoot, R. (2014). Analyzing indirect effects in cluster randomized trials. The effect of estimation method, number of groups and group sizes on accuracy and power. Front. Psychol. 5:78. doi: 10.3389/fpsyg.2014.00078.  PDF

Zondervan-Zwijnenburg, M.A.J., Van de Schoot, R., Johnson, A.R. Computing complexity for the Bayes Factor in inequality constrained hypotheses. White paper.

Van de Schoot, R., Hoijtink, H., Hallquist, M. N., & Boelen, P.A. (2012).  Bayesian Evaluation      of inequality-constrained Hypotheses in SEM Models using Mplus. Structural Equation    Modeling, 19, 593-613. doi: 10.1080/10705511.2012.713267

Van Rossum, M., van de Schoot, R. & Hoijtink, H. (2012). `Is the hypothesis correct’ or `Is it not’? Bayesian evaluation of one informative hypothesis in ANOVA. Methodology, 9, 13-22. doi: 10.1027/1614-2241/a000050

Romeijn, J. W. & Van de Schoot, R. , Hoijtink, H. (2012). One size does not fit all: Proposal for a prior-adapted BIC. In D. Dieks, W. Gonzales, S. Hartmann, F. Stadler, T. Uebel, & M. Weber (ed.), Probabilities, Laws, and Structures. The Philosophy of Science in a European Perspective, 3, 87-106. Berlin: Springer.  [PDF]

Van de Schoot, R., Hoijtink, H., Romeijn, J-W & Brugman, D. (2011). A prior predictive loss function for the evaluation of inequality constrained hypotheses. Journal of Mathematical Psychology, 56, 13-23. doi:10.1016/j.jmp.2011.10.001.

 Van de Schoot, R., Hoijtink, H. & Deković, M. (2010). Testing inequality constrained hypotheses in SEM Models. Structural Equation Modeling, 17, 443–463. for Mplus syntax and R-code, see Exmaple1 Example2 Example3

Mulder, J., Klugkist, I., Van de Schoot, R., Meeus, W., Selfhout, M., & Hoijtink, H. (2009). Bayesian model selection of informative hypotheses for repeated measurements. Journal of Mathematical Psychology, 53, 530-546.

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