TY - JOUR
AU - Winship, Christopher
AB - Book Rev iews 775 focuses on item response theory (IR T), th e aim here is d ifferent, and this te xt Ramsay, J. O. (1 997), “ A Functional Appro ach to M odeling T est Data,” in Handbook of Mo dern Item Response T heory , e ds. W . J. v an d er Lin den and nicely comp lements many o f th e stand ard bo oks o n IR T. R. K. Hambl eton, Ne w York: Sp ringer, pp . 38 1–39 4. IRT is commonly p resented b y fo cusing on the analysis o f la rge-scale stan- dardized t ests. The re sults o f such an analysis in clude prec ise descriptions of item characteristics and poin t estimate s of e xaminee abilities with standard errors. T his is the focus o f the te xt of Ha mbleton e t al. (1 991), which d is- cusses parametric IRT models. In these models, e ach item is represented b y Logit a nd Pr obit: Orde red a nd M ultinomial M odels. a parametric (often log istic) item response fun ction (IRF) w hose para 
TI - Logit and Probit: Ordered and Multinomial Models
JF - Journal of the American Statistical Association
DO - 10.1198/jasa.2003.s301
DA - 2003-09-01
UR - https://www.deepdyve.com/lp/taylor-francis/logit-and-probit-ordered-and-multinomial-models-JPSp5Mfujt
SP - 775
EP - 776
VL - 98
IS - 463
DP - DeepDyve
ER -