Book Review

Birnbaum, A. (1968). Some latent train models and their use in inferring an examinee’s ability. In F. M. Lord & M. R. Novick (Eds.), Statistical theories of mental test scores (pp. 395–479). Reading, MA: Addison-Wesley. Bock, R. D., & Aitkin, M. (1981). Marginal maximum likelihood estimation of item parameters: Application of an EM algorithm. Psychometrika, 46(4), 443–459. Bock, R. D., & Gibbons, R. D. (2021). Item response theory. New York: Wiley. Bock, R. . D., & Lieberman, M. (1970). Fitting a response model for \(n\) dichotomously scored items. Psychometrika, 35(2), 179–197. de Ayala, R. J. (2013). The theory and practice of item response theory. New York: Guilford Publications. Embretson, S. E., & Reise, S. P. (2000). Item response theory for psychologists. Mahwah: Lawrence Erlbaum Associates. Fries, J. . F., Bruce, B., & Cella, D. (2005). The promise of PROMIS: Using item response theory to improve assessment of patient-reported outcomes. Clinical and Experimental Rheumatology, 23(5), S53-57. Joe, H., & Maydeu-Olivares, A. (2010). A general family of limited information goodness-of-fit statistics for multinomial data. Psychometrika, 75(3), 393–419. Lord, F. (1952). A theory of test scores. New York: Psychometric Society. McDonald, R. P. (1967). Nonlinear factor analysis. Richmond: The William Byrd Press Inc. Thissen, D., Cai, L., & Bock, R. D. (2010). The nominal categories item response model. In M. L. Nering & R. Ostini (Eds.), Handbook of polytomous item response theory models (pp. 43–75). Milton Park: Routledge/Taylor & Francis Group. Thissen, D., & Steinberg, L. (2009). Item response theory. In R. Millsap & A. Maydeu-Olivares (Eds.), The sage handbook of quantitative methods in psychology (pp. 148–177). London: Sage Publications.