VanHoudnos, N. (2014). The Efficacy of the Hedges Correction for Unmodeled Clustering, and Its Generalizations in Practical Settings. Unpublished doctoral dissertation, Carnegie Mellon University.
VanHoudnos, N. (2013). On Correcting a Significance Test for Model Misspecification. Paper presented at the fall meeting of the Society for Research on Educational Effectiveness. Washington, D.C.
Markov Chain Monte Carlo
Junker, B. W., Patz, R. J. and VanHoudnos, N. (2012). Markov Chain Monte Carlo for Item Response models. Invited chapter for W. J. van der Linden & R. K. Hambleton (Eds.), Handbook of Modern Item Response Theory. Boca Raton, FL: Chapman & Hall/CRC. (to appear, 2013).
VanHoudnos, N. (2013). Tips, tricks, and tuning advice for implementing a Metropolis-Hastings within Gibbs sampler for a 2PL IRT model with R. Web supplement for B. Junker, R. Patz, and N. VanHoudnos, Markov Chain Monte Carlo for Item Response Models.(2012). http://mcmcinirt.stat.cmu.edu
Crowdsourcing in Education Research
VanHoudnos, N., Smith, L., Callan, J., Dabbish, L., & Junker, B. (2011). Crowdsourcing the Rating of Open-Response Mathematics Questions. Building an Education Science: Improving Mathematics and Science Education for All Students. Washington, DC, USA: Society for Research on Educational Effectiveness.
VanHoudnos, N. (2011). Can the Internet grade math? Crowdsourcing a complex scoring task and picking the optimal crowd size. Tech. rep. Department of Statistics, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.