Project Activities
People and institutions involved
IES program contact(s)
Products and publications
ERIC Citations: Find available citations in ERIC for this award here.
Book chapter
Cai, L., Choi, K., and Kuhfeld, M. (2016). On the Role of Multilevel Item Response Models in Multisite Evaluation Studies for Serious Games. In H.F. O'Neil, E.L. Baker, and R.S. Perez (Eds.), Using Games and Simulations for Teaching and Assessment: Key Issues (pp. 280-301). New York: Routledge.
Cai, L., and Thissen, D. (2014). Modern Approaches to Parameter Estimation in Item Response Theory. In S.P. Reise, and D. A. Revicki (Eds.), Handbook of Item Response Theory Modeling: Applications to Typical Performance Assessment (pp. 41-59). Routledge.
Thissen, D., And Cai, L. (2014). Modern Approaches to Parameter Estimation in Item Response Theory. In S.P. Reise, and D. A. Revicki (Eds.), Handbook of Item Response Theory Modeling (pp. 59-77). Routledge.
Yang, J. S., and Seltzer, M. (2015). Handling Measurement Error in Predictors Using a Multilevel Latent Variable Plausible Values Approach. In Advances in Multilevel Modeling for Educational Research: Addressing Practical Issues Found in Real-World Applications (pp. 295-333). Information Age Publishing.
Journal article, monograph, or newsletter
Bonifay, W., and Cai, L. (2017). On the Complexity of Item Response Theory Models. Multivariate Behavioral Research, 52(4), 465-484.
Cai, L., Choi, K., Hansen, M., and Harrell, L. (2016). Item Response Theory. Annual Review of Statistics and Its Application, 3: 297-321.
Falk, C.F., and Cai, L. (2016). Semiparametric Item Response Functions in the Context of Guessing. Journal of Educational Measurement, 53(2), 229-247.
Falk, C.F., and Cai, L. (2016). Maximum Marginal Likelihood Estimation of a Monotonic Polynomial Generalized Partial Credit Model With Applications to Multiple Group Analysis. Psychometrika, 81(2), 434-460.
Falk, C.F., and Cai, L. (2016). A Flexible Full-Information Approach to the Modeling of Response Styles. Psychological Methods, 21(3), 328.
Hansen, M., Cai, L., Monroe, S., and Li, Z. (2016). Limited-Information Goodness-of-Fit Testing of Diagnostic Classification Item Response Models. British Journal of Mathematical and Statistical Psychology, 69(3), 225-252.
Lee, T., Cai, L., and Kuhfeld, M. (2016). A Poor Person's Posterior Predictive Checking of Structural Equation Models. Structural Equation Modeling: A Multidisciplinary Journal, 23(2), 206-220.
Li, Z., and Cai, L. (2012). Summed Score Likelihood-Based Indices for Testing Latent Variable Distribution Fit in Item Response Theory. Educational and Psychological Measurement, 0013164417717024.
Monroe, S., and Cai, L. (2015). Examining the Reliability of Student Growth Percentiles Using Multidimensional IRT. Educational Measurement: Issues and Practice, 34(4), 21-30.
Monroe, S., and Cai, L. (2015). Evaluating Structural Equation Models for Categorical Outcomes: A New Test Statistic and a Practical Challenge of Interpretation. Multivariate Behavioral Research, 50(6), 569-583.
Yang, J., and Cai, L. (2014). Estimation of Contextual Effects Through Nonlinear Multilevel Latent Variable Modeling With a Metropolis-Hastings Robbins-Monro Algorithm. Journal of Educational and Behavioral Statistics, 39(6): 550-582.
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