PUBLISHED PAPERS (REFEREED)
2018
- Mulder, J. and Fox, J.-P. (in press). Bayes factor testing of multiple intraclass correlation coefficients. Bayesian Analysis.
- Mulder, J. and Pericchi, L.R. (2018). The matrix-variate F prior for estimating and testing covariance matrices. Bayesian Analysis, 13, 1189-1210.
- Mulder, J. and Leenders, R.Th.A.J. (revision) On the evolution of dynamic interaction behavior in networks in real time. Chaos, Solitons & Fractals.
- Hoijtink, H., Mulder, J., & Gu, X. (in press). Bayesian Evaluation of Informative Hypotheses for Multiple Populations. British Journal of Mathematical and Statistical Psychology.
- Hoijtink, H., Gu, X., Mulder, J., and Rosseel, Y. (in press). Computing Bayes factors from data with missing values. Psychological Methods.
- Hoijtink, H., Mulder, J., van Lissa, C.J., & Gu, X (minor revision). A tutorial on testing hypotheses using the Bayes factor. Psychological Methods.
- Böing-Messing, F. & Mulder, J. (in press). Automatic Bayes factors for testing equality and inequality constrained hypotheses on variances. Psychometrika.
- Gu, X., Mulder, J. & Hoijtink, H. (in press) Approximated adjusted fractional Bayes factors: A general method for testing informative hypotheses. British Journal of Mathematical and Statistical Psychology.
- Dittrich, D., Leenders, R.Th.A.J., & Mulder, J. (revision). Network autocorrelation modeling: A Bayes factor approach to testing (multiple) interval and precise hypotheses. Sociological Methodology and Research.
- Van Erp, S., Mulder, J., & Oberski, D. L. (2018). Prior sensitivity analysis in default Bayesian structural equation modeling. Psychological Methods, 23, 363-388.
2017
- Flore, P. C., Mulder, J., and Wicherts, J. (accepted registered report). The influence of gender stereotype threat on mathematics test scores of Dutch high school students: A registered report. Comprehensive Results in Social Psychology.
- Fox, J.-P., Mulder, J., & Sinharay, S. (2017). Bayes factor covariance testing in item response models. Psychometrika, 82, 976-1006.
- Dittrich, D., Leenders, R., & Mulder, J. (2017). Bayesian estimation of the network autocorrelation model. Social Networks, 48, 213-246.
- Böing-Messing, F., Van Assen, M., Hoijtink, H., Hoffman, A., & Mulder, J. (2017). Bayesian evaluation of equality and inequality constrained hypotheses on variances. Psychological Methods, 22, 262-287.
- De Jong, J., Rigotti, T., & Mulder, J. (2017). One after the other: Effects of sequence patterns of breaches and overfulfilled obligations. European Journal of Work and Organizational Psychology, 26, 337-355.
- Kollenburg, G., Mulder, J., & Vermunt, J.K. (2017). Posterior calibration of posterior predictive p-values. Psychological Methods, 22, 382-396.
2016
- Mulder J. (2016). Bayes Factors for Testing Order-Constrained Hypotheses on Correlations. Journal of Mathematical Psychology, 72, 104-115.
- Mulder, J. & Wagenmakers, E.-J. (2016). Editors’ Introduction to the Special Issue “Bayes Factors for Testing Hypotheses in Psychological Research: Practical Relevance and New Developments”. Journal of Mathematical Psychology, 72, 1-5.
- Fox, J.-P., Marsman, M., Mulder, J., & Verhagen, J. (2016). Complex latent variable modeling in educational assessment. Communications in Statistics, 45, 1499-1510.
- Böing-Messing, F. & Mulder J. (2016). Automatic Bayes Factors for Testing Variances of Two Independent Normal Distributions. Journal of Mathematical Psychology, 72, 158-170.
- Gu, X., Hoijtink, H., & Mulder, J. (2016). Error probabilities in default Bayesian hypothesis testing. Journal of Mathematical Psychology, 72, 130-143.
2015
- Braeken, J., Mulder, J., & Wood, S. (2015). Relative effects at work: Bayes factors for order hypotheses. Journal of Management, 41, 544-573.
- Van Kollenburg, G., Mulder, J., & Vermunt, J. K. (2015). Assessing model fit when asymptotics do not hold. Methodology, 11, 65-79.
2014
- Mulder, J. (2014). Bayes factors for testing inequality constrained hypotheses: Issues with prior specification. British Journal of Mathematical and Statistical Psychology, 67, 153-171.
- Mulder, J. (2014). Prior adjusted default Bayes factors for testing (in)equality constrained hypotheses. Computational Statistics and Data Analysis, 71, 448-463.
- Gu, X., Mulder, J., Dekovic, M., & Hoijtink, H. (2014). Bayesian evaluation of inequality constrained hypotheses. Psychological Methods, 19, 511-527.
2013
- Mulder, J. & Fox, J.-P. (2013). Bayesian tests for variance components in a compound symmetry covariance structure. Statistics and Computing, 23, 109-122.
2012
- Mulder, J., Hoijtink, H., & de Leeuw, C. (2012). BIEMS: A Fortran 90 program for calculating Bayes factors for inequality and equality constrained models. Journal of Statistical Software, 46(2).
- Kluytmans, A., Van de Schoot, R., Mulder, J., & Hoijtink, H. (2012). Illustrating Bayesian evaluation of informative hypotheses for regression models. Frontiers in Psychology, 3(2).
2011
- Van de Schoot, R., Mulder, J., Hoijtink, H., van Aken, M. A. G., Semon Dubas, J., Orobio de Castro, B., Meeuw, W., & Romeijn, J. -W. (2011). An introduction to Bayesian model selection for evaluating informative hypotheses. European Journal of Developmental Psychology, 8(6), 713-729.
- Van de Schoot, R., Hoijtink, H., Mulder, J., Aken, M. V., de Castro, B. O., Meeus, W., & Romeijn, J.-W (2011). Evaluating expectations about negative emotional states of aggressive boys using Bayesian model selection. Developmental Psychology, 47 (1), 203-212.
2010
- Mulder, J., Hoijtink, H., & Klugkist, (2010). Equality and inequality constrained multivariate linear models: Objective model selection using constrained posterior priors. Journal of Statistical Planning and Inference, 140, 887-906.
2009
- Mulder, J. & van der Linden, W. J. (2009). Multidimensional adaptive testing with optimal design criterion for item selection. Psychometrika, 74, 273-296.
- Mulder, J., Klugkist, I., Meeus, W., van de Schoot, A., Selfhout, M., & Hoijtink,H. (2009). Bayesian model selection of informative hypotheses for repeated measurements. Journal of Mathematical Psychology, 53, 530-546.
- Kammers, M. P. M., Mulder, J., De Vignemont, F., & Dijkerman, H. C. (2009). The weight of representing the body: A dynamic approach to investigating multiple body representations in healthy individuals. Experimental Brain Research, 204, 333-342.
- Almond, R. G., Mulder, J., Hemat, L. A., & Yan, D. (2009). Bayesian network models for local dependence among observable outcome variables. Journal of Educational and Behavioral Statistics, 34, 491-521.
BOOKS, OR CONTRIBUTIONS TO BOOKS
- Mulder, J. (2016). Bayesian Testing of Constrained Hypotheses. In J. Robertson & M.C. Kaptein (Eds.), Modern Statistical Methods for HCI. Springer-Verlag.
- Mulder, J. (2010). Bayesian Model Selection for Constrained Multivariate Normal Linear Models. PhD thesis, Utrecht University.
- Mulder, J. & van der Linden, W. J. (2009).Multidimensional adaptive testing with Kullback-Leibler information item selection. In W. J. van der Linden & C. A. W. Glas (Eds.), Elements of Adaptive Testing (pp. 79-104). New York: Springer.
- Klugkist, & Mulder, J. (2008). Bayesian estimation for inequality constrained analysis of variance. In: H. Hoijtink, I. Klugkist, and P. A. Boelen. (Eds.), Bayesian Evaluation of Informative Hypotheses (pp. 27-52). New York: Springer.