Curriculum Vitae of Joris Mulder

Curriculum Vitae of Joris Mulder April, 2014 PERSONAL INFORMATION Name: Joris Mulder Date and place of birth: 21‐12‐1981, Enschede, The Netherlands Current position: Assistant professor Department of Methodology & Statistics Tilburg University, the Netherlands Visiting Address: Prisma Building, Room P1.109 Warandelaan 2 5037 AB Tilburg Mailing Address: Tilburg University Postbus 90153 5000 LE Tilburg Contact: [email protected] +31 (0)13 466 3270 Homepage: http://www.tilburguniversity.nl/webwijs/show/?uid=j.mulder3 DEGREES AND QUALIFICATIONS 2012 University teaching qualification (BKO), Tilburg University (TiU), the Netherlands 2010 PhD in Applied Bayesian statistics (cum laude), Utrecht University (UU), the Netherlands 2006 MSc in Applied Mathematics, University of Twente (UT), the Netherlands 2000 Propadeutic exam Applied Mathematics, UT, the Netherlands TEACHING POSITIONS 2010 – present Assistant‐professor, Department of Methodology and Statistics (MTO), TiU. Teacher and coordinator of “Introduction to statistics” for first year bachelor students in psychology, sociology, organization studies, and human resource management. 2007 – 2010 PhD student, Department of Methodology & Statistics (M&S), Utrecht University (UU). Teaching assistant for the course “Item response theory”. 1999 – 2006 Teaching assistant (UT) for different mathematics courses such as Calculus and Applied System Theory. i
RESEARCH EXPERIENCE 2010 – present Assistant professor, Department of Methodology & Statistics, TiU. 2006 – 2010 PhD student, Department of Methodology & Statistics, UU. This research was supported by a Vici grant from NWO entitled “Learning more from empirical data using prior knowledge”, awarded to Prof. Herbert Hoijtink. 2005 – 2006 Graduation Assignment at the Department of Research Methodology, Measurement and Data Analysis (OMD) at the faculty of Behavioral Sciences, UT. 2004 – 2005 Internship at ETS, Princeton, NJ, USA, with ETS‐stipend. With emphasis on modeling the context effect in Bayesian network models. GRANTS AND SCHOLARSHIPS 2013 – present Veni Grant from the Netherlands Organisation for Scientific Research (NWO). Project title: “Evaluating scientific expectations on correlations using (in)equality‐constrained hypothesis testing” (€250.000). 2011 –2013 Rubicon Grant from NWO. Project title: “Bayesian testing of informative hypotheses on (co)variance parameters” (€118.000). 2004 Stipend for visiting Educational Testing Service (ETS), Princeton, NJ, USA ($7000). RESEARCH INTERESTS Objective Bayesian methods; subjective Bayesian methods; Bayes factors; inequality‐
constrained hypothesis testing; automatic prior specification; model complexity; multilevel modeling; marginal models; testing covariance structures and correlation structures; comparison of classical and Bayesian methods; network autocorrelation modeling; (multidimensional) item response theory; computerized adaptive testing. SUPERVISOR AND CO‐PROMOTOR EXPERIENCE PhD students 2014 – present Co‐promotor of PhD student Dino Dittrich (TiU). Promotor: Prof. dr. J. K. Vermunt. Title: “Social Network Modeling Using Bayesian Statistics”. 2012 – present Co‐promotor of PhD student Florian Böing‐Messing (TiU). Promotor: Prof. dr. J. K. Vermunt. Title: “Bayesian testing of (in)equality constrained hypotheses on variance components”. 2012 – present Co‐promotor of Geert van Kollenburg (TiU). Promotor: Prof. dr. J. K. Vermunt. ii
2012 – present Title: “Posterior predictive checking for assessing model fit of latent class models”. Co‐promotor of Xin Gu (TiU). Promotor: Prof. dr. H. Hoijtink. Title: “Bayesian evaluation of informative hypotheses using normal approximations”. Research master students April 2014 – Aug 2014 Zhengguo Gu and Sarah van Erp (TiU, first year paper projects) on Bayesian statistical modeling in social science research. Jan. 2013 – July 2013 Lianne van Ippel and Perke Jacobs (interns) on Bayesian evaluation of interval hypotheses. Jan. 2012 – July 2012 Geert van Kollenburg (TiU, master thesis) entitled “Comparison of asymptotic, bootstrap, and posterior predictive p‐values in assessing latent class model fit”. Sept. 2011 – July 2012 Geert van Kollenburg (TiU, intern) on Applied Bayesian statistical modeling for the social and behavioral sciences. 2008 – 2010 Supervising Christian de Leeuw (UU) on Bayesian evaluation of (in)equality constrained hypothesis testing. Consultancy 2010 – present Statistical/methodological advisor for MSc students’ theses at the Faculty of Social and Behavioral Sciences (TiU). 2006 – 2010 Statistical and methodological consultant for MSc and BSc theses (UU). INTERNATIONAL VISITS AND COLLABORATIONS Oct. 2013 Academic visit to Prof. J. O. Berger, Duke University, Durham, NC. June 2010 Academic visit to W. John Boscardin, PhD, University of California (UCSF), San Francisco, CA, USA. Oct. 2004 – Feb. 2005 Internship at ETS, Princeton, NJ, USA. EDITORIAL AND REVIEW EXPERIENCE 2013 – present Guest editor for a special issue in the Journal of Mathematical Psychology on “Bayesian hypothesis testing in psychological research”, with Eric‐Jan Wagenmakers (University of Amsterdam, the Netherlands). 2008 – present Reviewer for Australian and New Zealand Journal of Statistics; British Journal of Mathematical and Statistical Psychology; Journal of the American Statistical Association; Journal of Mathematical Psychology; Methodology; Psychometrika; Spanish Journal of Psychology; Statistica Neerlandica. iii
PROFESSIONAL MEMBERSCHIPS 2013 – present Member of the International Society for Bayesian Analysis (ISBA). 2010 – present Junior staff member of IOPS (Interuniversity Graduate School of Psychometrics and Sociometrics). 2010 – present Member of the Netherlands Society for Statistics and Operations Research (VVS). 2006 – 2010 IOPS PhD student. PRESENTATIONS Session organizer June 2012. Special topic session organizer on “Bayesian model assessment” at the International Society for Bayesian Analysis (ISBA) World Meeting, Kyoto, Japan, 2012. Speakers: Merlise Clyde, Laura Hatfield, Gonzales García‐Donato, Joris Mulder. Chair: Brad Carlin. Oral presentations March 2014 Conference on Organization Studies, TiU. August 2013 Joint Statistical Meeting (JSM) 2013 World Meeting, Montréal, Canada. July 2013 International Federation of Classification Societies (IFCS ) 2013, TiU, the Netherlands. June 2012 ISBA World Meeting, Kyoto, Japan. Dec. 2011 Workshop on “Inequality constrained estimation and inference”, Hasselt University, Belgium. Aug. 2011 JSM 2011, Miami Beach, FL, USA. June 2010 Seminar at Department of Biostatistics and Epidemiology, University of California (UCSF), San Francisco, CA, USA. Aug. 2009 42nd Annual Meeting of the Society for Mathematical Psychology, Amsterdam. Oct. 2008 3rd Workshop on Inequality Constrained Modeling, UU. July 2005 3rd Annual Bayesian Application Workshop at the 21st Conference on Uncertainty in Artificial Intelligence, Edinburg, UK. Sept. 2006 22nd Workshop on Item Response Theory, UT. Sept. 2005 21st Workshop on Item Response Theory, UT. Jan. 2005 Seminar at ETS, Princeton, NJ, USA. Poster presentations March 2011 Conference on “All models are wrong…”, Rijksuniversiteit Groningen,
Groningen. July 2008 9th World Meeting of the ISBA, Hamilton Island, Australia. July 2007 Workshop on “Objective Bayesian Statistics”, Rome, Italy. Visited workshops Oct. 2013 Social Network Data Analysis organized by the Statistical and Applied Mathematical Institute (SAMSI), Research Triangle, NC, USA iv
Sept. 2008 Sequential Monte Carlo Methods organized by SAMSI. SOFTWARE DEVELOPMENT Developer of the software package BIEMS (Bayesian inequality and equality constrained model selection). Designed for applied researchers for testing hypotheses with equality and inequality constraints for (multivariate) t‐tests, (M)AN(C)OVA, (multivariate) regression, repeated measures (Mulder, Hoijtink, & de Leeuw, 2012). AQUIRED SKILLS Computing: ‐ Applications MS Windows 2000/XP, MS Office 2000/XP, MS Outlook, Microsoft Visual Studio, WinEdt. ‐ Software SPSS, GenStat. ‐ Programming R, S/S+, Matlab, Fortran 90, Maple, Latex, Winbugs. Languages: ‐ Dutch Mother tongue ‐ English Fluent in speaking and writing PUBLISHED PAPERS (REFEREED) 1. Mulder, J. & van der Linden, W. J. (2009). Multidimensional adaptive testing with optimal design criterion for item selection. Psychometrika, 74, 273‐296. 2. 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. 3. 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. 4. 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. 5. Mulder, J., Hoijtink, H., & Klugkist, I. (2010). Equality and inequality constrained multivariate linear models: Objective model selection using constrained posterior priors. Journal of Statistical Planning and Inference, 140, 887‐906. 6. 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 v
selection for evaluating informative hypotheses. European Journal of Developmental Psychology, 8(6), 713‐729. 7. 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. 8. 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). 9. 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). 10. Mulder, J. & Fox, J.‐P. (2013). Bayesian tests for variance components in a compound symmetry covariance structure. Statistics and Computing, 23, 109‐122. 11. Mulder, J. (2013). Bayes factors for testing inequality constrained hypotheses: Issues with prior specification. British Journal of Mathematical and Statistical Psychology. 12. Mulder, J. (2014). Prior adjusted default Bayes factors for testing (in)equality constrained hypotheses. Computational Statistics and Data Analysis. 13. Braeken, J., Mulder, J., & Wood, S. (in press). Relative effects at work: Bayes factors for order hypotheses. Journal of Management. 14. Xin, G., Mulder, J., Dekovic, M., & Hoijtink, H. (in press). Bayesian evaluation of inequality constrained hypotheses. Psychological Methods. BOOKS, OR CONTRIBUTIONS TO BOOKS 1. Klugkist, I. & 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. 2. 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. 3. Mulder, J. (2010). Bayesian Model Selection for Constrained Multivariate Normal Linear Models. PhD thesis, Utrecht University. MANUSCRIPTS SUBMITTED FOR PUBLICATION 1.
Mulder J. Bayesian hypothesis testing of order constraints on correlations in unstructured correlation matrices. Submitted to the Journal of Mathematical Psychology. vi
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Böing‐Messing, F. & Mulder J. Automatic Bayes Factors for Comparing Variances of Two Independent Normal Distributions. Submitted to the Scandinavian Journal of Statistics. Van Kollenburg, G., Vermunt, J. K., & Mulder, J. (2013). Bayesian posterior predictive p‐
values for assessing latent class models. Submitted to Methodology. Xin, G., Mulder, J., & Hoijtink, H. A new prior specification method based on calibrated Bayes factors. Submitted to Journal of Mathematical Psychology. Fox, J.‐P., Marsman, M., Verhagen, J., & Mulder, J. Complex latent variable modeling in educational assessment. Submitted to Communications in Statistics. Konijn, E., van de Schoot, R., Pontier, M., Zwijnenburg, M., Hoorn, J. F., and Mulder, J. When Statistical Insignificance is Theoretically Meaningful. Submitted to Psychological Science. IN PREPARATION 1. Mulder, J. & Fox, J.‐P. Testing compound symmetry covariance structures for multivariate response data. 2. Mulder, J. Berger, J.O., and Bayarri, M.J. The ubiquity of information inconsistency in hypothesis testing. 3. Xin, G., Rosseel, Y., Mulder, J. & Hoijtink H. A Program for the evaluation of inequality constrained hypotheses using Bayes factors. 4. Van Kollenburg, G., Vermunt, J. K., & Mulder, J. Calibrating posterior predictive checks for assessing model fit. 5. Böing‐Messing, F., Hoijtink, H., & Mulder J. Testing equality constraints and order constraints between within‐group variances. vii

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