Haertel, E. H. (1989). Using restricted latent class models to map the attribute structure of achievement items. Journal of Educational Measurement , 26 , 333–352. Hansen, M. (2013). Hierarchical item response models for cognitive diagnosis (Unpublished doctoral dissertation). University of California at Los Angeles. Henson, R., Templin, J. L., & Willse, J. (2009). Defining a family of cognitive diagnosis models using log-linear models with latent variables. Psychometrika , 74 , 191–210. H¨ ofling, H., & Tibshirani, R. (2009). Estimation of sparse binary pairwise Markov networks using pseudo-likelihoods. Journal of Machine Learning Research , 10 , 883–906. Jang, E. E. (2009). Cognitive diagnostic assessment of l2 reading comprehension ability: Validity arguments for applying Fusion model to LanguEdge assessment. Language Testing , 26 , 31– 73. Johnson, M., Lee, Y.-S., Sachdeva, R. J., Zhang, J., Waldman, M., & Park, J. Y. (2013, April). Ex- amination of gender differences using the multiple groups DINA model. San Francisco: Paper presented at the Annual Meeting of the National Council on Measurement in Education. Junker, B. W. (1993). Conditional association, essential independence and monotone unidimen- sional item response models. The Annals of Statistics , 21 , 1359–1378. Junker, B. W., & Sijtsma, K. (2001). Cognitive assessment models with few assumptions, and connections with nonparametric item response theory. Applied Psychological Measurement , 25 (3), 258–272. Kingston, N. M., & Dorans, N. J. (1984). Item location effects and their implications for IRT equating and adaptive testing. Applied Psychological Measurement , 8 , 147–154. Leighton, J. P., Gierl, M. J., & Hunka, S. M. (2004). The attribute hierarchy model for cog- nitive assessment: a variation on Tatsuoka?s rule-space approach. Journal of Educational Measurement , 41 , 205–237. Lindsay, B. (1988). Composite likelihood methods. Contemporary Mathematics , 80 , 220–239. Liu, H., You, X., Wang, W., Ding, S., & Chang, H.-H. (2013). The development of computerized adaptive testing with cognitive diagnosis for an english achievement test in China. Journal of Classification , 30 , 152–172. Liu, J., Xu, G., & Ying, Z. (2012). Data-driven learning of Q-matrix. Applied Psychological Measurement , 36 , 548–564. 30