中文部份
余民寧(1995)。認知診斷測驗的發展趨勢。教育研究，45,14-22.
余民寧(2009)。試題反應理論(IRT)及其應用。臺北市：心理出版社。
涂金堂(2003)。認知診斷評量的探究。臺南師範學院學報，37(2):67-97。英文部份
Ackerman, T. A. (1992). A didactic explanation of item bias, item impact, and item validity from a multidimensional perspective. Journal of Educational Measurement, 29(1), 67-91.
Adams, R. J., Wilson, M., & Wang, W. C. (1997). The multidimensional random coefficients multinomial logit model. Applied Psychological Measurement, 21(1), 1-23.
Birnbaum, A. (1968). Some latent trait model and their use in inferring an examinee’s ability. In F. M. Lord and M. R. Novick, Statistical theories of mental test scores, 17-20. Reading, Mass: Addison-Wesley.Cheng, Y. (2009). When cognitive diagnosis meets computerized adaptive testing: CD-CAT. Psychometrika, 74(4), 619–632.
de la Torre, J., & Lee, Y. S. (2010). A note on the invariance of the DINA model parameters. Journal of Educational Measurement, 47(1), 115-127.
de la Torre, J., Hong, Y., & Deng, W. (2010). Factors affecting the item parameter estimation and classification accuracy of the DINA model. Journal of Educational Measurement, 47(2), 227-249.
de la Torre, J., & Song, H. (2009). Simultaneous estimation of overall and domain abilities: A higher-order IRT model approach. Applied Psychological Measurement, 33(8), 620-639.
de la Torre, J., & Douglas, J. (2008). Model evaluation and multiple strategies in cognitive diagnosis: An analysis of fraction subtraction data. Psychometrika,73(4), 595-624.
de la Torre, J., & Hong, Y. (2010). Parameter estimation with small sample size a higher-order IRT model approach. Applied Psychological Measurement, 34, 267-285.
de la Torre, J., & Patz, R. (2005). Making the most of what we have: A practical application of multidimensional item response theory in test scoring. Journal of Educational and Behavioral Statistics, 30, 295-311.de la Torre, J., & Douglas, J. (2004). Higher-order latent trait models for cognitive diagnosis. Psychometrika. 69(3),333-353.
de la Torre, J. (2009a). DINA model and parameter estimation: A didactic. Journal of Educational and Behavioral Statistics, 34, 115-130.
de la Torre, J. (2009b). A cognitive diagnosis model for cognitively-based multiple-choice options. Applied Psychological Measurement, 33, 163-183.
DeCarlo L.T. (2011) On the analysis of fraction subtraction data: The DINA model, classification, latent class sizes, and the Q-matrix. Applied Psychological Measurement, 35(1), 8-26.
Fischer, G. H. (1973). The linear logistic test model as an instrument in educational research. Acta Psychologica, 37, 59-374.Gierl, M. J., Leighton J. P., & Hunka S. M. (2007).Using the attribute hierarchy method to make diagnostic inferences about examinees’ cognitive skills.for education: Theory and practices.
Hattie, J. (1981). Decision criteria for determining unidimensional and multidimensional normal ogive models of latent trait theory. Armidale, New South Wales, Australia: The University of New England, Center for Behavioral Studies.
Henson, R. A., & Douglas, J. (2005). Test construction for cognitive diagnosis. Applied Psychological Measurement, 29 (4), 262-277.
Huebner, A. (2010).Cognitive diagnostic computer adaptive assessments. Journal of Educational Measurement, 46 (3), 293-313.
Junker, B., & Sijtsma, K. (2001). Cognitive assessment models with few assumptions, and connections with nonparametric item response theory. Applied Psychological Measurement, 25(3), 258-272.
Leighton, J. P., Gierl, M. J., & Hunka, S. (2004). The attribute hierarchy model: An approach for integrating cognitive theory with assessment practice. Journal of Educational Measurement, 41, 205–236.
Lord, F. M. (1980). Applications of item response theory to practical testing problems. Hillsdale, NJ: Lawrence Eribaum Associates.
Mckinley, R. L., & Reckase, M. D. (1983). MAXLOG: A computer program for the estimation of the parameters of a multidimensional logistic model. Behavior Research Methods & Instrumentation, 15, 389-390.
OECD (2013). PISA 2015 Collaborative Problem Solving Framework. OECD Publishing.
OECD (2012). PISA 2009 Technical Report. Paris: OECD Publishing.
OECD (2010). PISA 2009 Assessment Framework-Key competencies in reading, mathematics and science. Paris: OECD Publishing.
Reckase, M. D., & Mckinley, R. L. (1991). The discrimination power of items that measure more than one ability. Applied Psychological Measurement, 15, 361-373.
Rupp, A., & Templin, J. (2008). The effects of q-matrix misspecification on parameter Estimates and classification accuracy in the DINA model. Educational and Psychological Measurement, 68(1), 78-96.
Rasch, G. (1980). Probability models for some intelligence and attainment tests. Chicago: The University of Chicago Press (Original edition published in 1960).
Sheng, Y., & Wikle, C. K. (2008). Bayesian multidimensional IRT models with a hierarchical structure. Educational and Psychological Measurement, 68(3), 413-430.
Sympson, J. B. (1978). A model for testing with the multidimensional items. In D. J. Weiss (Ed.). Item response theory and computerized adaptive testing conference proceedings. MN: University of Minnesota press.
Tatsuoka, K. K. (1983). Rule space: An approach for dealing with misconception based on item response theory.Journal of Educational Measurement, 20, 345-354.
Tatsuoka, K. K. (1985).A probabilistic model for diagnosing misconceptions by the pattern classification approach.Journal of Educational Statistics, 10, 55-73.
Templin, J. L., Henson, R. A., L. (2006). Measurement of psychological disorders using cognitive diagnosis models. Psychological Methods, 11(3), 287–305.
Wu, M. L., Adams, R. J., & Wilson, M. R. (1998), ConQuest [Computer software and manual], Camberwell, Victoria, Australia: Australian Council for Educational Research..
Wang, W.-C., Chen, P.-H., & Cheng, Y.-Y. (2004). Improving measurement precision of test batteries using multidimensional item response models. Psychological Methods, 9, 116-136Wainer, H., Vevea, J. L., Camacho, F., Reeve, B., Rosa, K., Nelson, L., et al. (2001). Augmented scores: ‘‘Borrowing strength’’ to compute scores based on small number of items. In D. Thissen & H. Wainer (Eds.), Test scoring (pp. 343-387). Mahwah, NJ: Lawrence Erlbaum.