References
- Belsley, D., Kuh, D., & Welsch, R. E. (1980). Regression diagnostics: Identifying influential data and sources of collinearity. John Wiley and Sons, Inc. doi:10.1002/0471725153
- Bradshaw, L. (2016). Diagnostic classification models. In A. A. Rupp & J. P. Leighton (Eds.), The handbook of cognition and assessment: Frameworks, methodologies, and applications (pp. 297–327). West Sussex, UK: Wiley-Blackwell. doi:10.1002/9781118956588.ch13
- Bradshaw, L., Izsak, A., Templin, J., & Jacobson, E. (2014). Diagnosing teachers’ understandings of rational numbers: Building a multidimensional test within the diagnostic classification framework. Educational Measurement: Issues & Practice, 33(1), 2–14. doi:10.1111/emip.12020
- Chen, Y., Liu, Y., & Xu, S. (2018). Mutual information reliability for latent class analysis. Applied Psychological Measurement, 42(6), 460–477. doi:10.1177/0146621617748324
- Chiu, C.-Y., Douglas, J., & Li, X. (2009). Cluster analysis for cognitive diagnosis: Theory and applications. Psychometrika, 74(4), 633–665. doi:10.1007/s11336-009-9125-0
- Cook, R. D. (1977). Detection of influential observations in linear regression. Technometrics, 19(1), 15–18. doi:10.1080/00401706.1977.10489493
- de la Torre, J. (2008). An empirically based method of Q-matrix validation for the DINA model: Development and applications. Journal of Educational Measurement, 45(4), 343–362. doi:10.1111/j.1745-3984.2008.00069.x
- de la Torre, J. (2011). The generalized DINA model framework. Psychometrika, 76(2), 179–199. doi:10.1007/s11336-011-9207-7
- de la Torre, J., & Chiu, C. (2016). A general method of empirical Q-matrix validation. Psychometrika, 81(2), 253–273. doi:10.1007/s11336-015-9467-8
- de la Torre, J., van der Ark, L. A., & Rossie, G. (2018). Analysis of clinical data from a cognitive diagnosis modeling framework. Measurement and Evaluation in Counseling and Development, 51(4), 281–296. doi:10.1080/07481756.2017.1327286
- George, A. C., Robitzsch, A., Kiefer, T., Gross, J., & Uenlue, A. (2016). The R package CDM for cognitive diagnosis models. Journal of Statistical Software, 74(2), 1–24. doi:10.18637/jss.v074.i02
- Haertel, E. H. (1989). Using restricted latent class models to map the skill structure of achievement items. Journal of Educational Measurement, 26(4), 333–352. doi:10.1111/j.1745-3984.1989.tb00336.x
- Henson, R., DiBello, L., & Stout, B. (2018). A generalized approach to defining item discrimination for DCMs. Measurement: Interdisciplinary Research & Perspectives, 16(1), 18–29. doi:10.1080/15366367.2018.1436855
- Henson, R., & Douglas, J. (2005). Test construction for cognitive diagnosis. Applied Psychological Measurement, 29(4), 262–277. doi:10.1177/0146621604272623
- Henson, R., Roussos, L., Douglas, J., & He, X. (2008). Cognitive diagnostic attribute-level discrimination indices. Applied Psychological Measurement, 32(4), 275–288. doi:10.1177/0146621607302478
- Henson, R. A., Templin, J. L., & Willse, J. T. (2009). Defining a family of cognitive diagnosis models using log-linear models with latent variables. Psychometrika, 74(2), 191–210. doi:10.1007/s11336-008-9089-5
- Jang, E. E. (2009). Cognitive diagnostic assessment of L2 reading comprehension ability: Validity arguments for fusion model application to LanguEdge assessment. Language Testing, 26(1), 031–73. doi:10.1177/0265532208097336
- Johnson, M. S., & Sinharay, S. (2019). The reliability of the posterior probability of skill attainment in diagnostic classification models. Journal of Educational and Behavioral Statistics, 45(1), 5–31. doi:10.3102/1076998619864550
- 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. doi:10.1177/01466210122032064
- Jurich, D. P., & Bradshaw, L. P. (2014). An Illustration of Diagnostic Classification Modeling in Student Learning Outcomes Assessment. International Journal of Testing, 14(1), 49–72. doi:10.1080/15305058.2013.835728
- Madison, M. J., & Bradshaw, L. (2015). The effects of Q-matrix design on classification accuracy in the LCDM. Educational and Psychological Measurement, 75(3), 491–511. doi:10.1177/0013164414539162
- Marsh, H. W., Hau, K.-T., & Wen, Z. (2004). In search of golden rules: Comment on hypothesis-testing approaches to setting cutoff values for fit indexes and dangers in overgeneralizing Hu and Bentler’s (1999) findings. Structural Equation Modeling: A Multidisciplinary Journal, 11(3), 320–341. doi:10.1207/s15328007sem1103_2
- Messick, S. (1989). Validity. In R. L. Linn (Ed.), Educational measurement (pp. 13–103). Washington, DC: American Council on Education and National Council on Measurement in Education.
- R Core Team. (2020). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing.
- Rupp, A. A., Templin, J., & Henson, R. (2010). Diagnostic measurement: Theory, methods, and applications. New York: Guilford.
- Sessoms, J., & Henson, R. A. (2018). Applications of diagnostic classification models: A literature review and critical commentary. Measurement: Interdisciplinary Research & Perspectives, 16(1), 1–17. doi:10.1080/15366367.2018.1435104
- Templin, J., & Bradshaw, L. (2013). Measuring the reliability of diagnostic classification model examinee estimates. Journal of Classification, 30(2), 251–275. doi:10.1007/s00357-013-9129-4
- Templin, J. L., & Henson, R. A. (2006). Measurement of psychological disorders using cognitive diagnosis models. Psychological Methods, 11(3), 287–305. doi:10.1037/1082-989X.11.3.287
- von Davier, M. (2008). A general diagnostic model applied to language testing data. British Journal of Mathematical and Statistical Psychology, 61(2), 287–307. doi:10.1348/000711007X193957
- von Davier, M. (2014). The DINA model as a constrained general diagnostic model: Two variants of a model equivalency. British Journal of Mathematical and Statistical Psychology, 67(1), 49–71. doi:10.1111/bmsp.12003
- Wang, C., & Gierl, M. J. (2011). Using the attribute hierarchy method to make diagnostic inferences about examinees’ cognitive skills in critical reading. Journal of Educational Measurement, 48(2), 165–187. doi:10.1111/j.1745-3984.2011.00142.x
- Xu, G., & Zhang, S. (2016). Identifiability of diagnostic classification models. Psychometrika, 81(3), 625–649. doi:10.1007/s11336-015-9471-z